Podcasts about insanely

Brandon Drumm and Travis Davidson break down and recap the first day of SEC Media Days and things that stood out with Sooners taking center stage. Reason the Sooners exuded massive amounts of confidence at their pressers and is that a great sign for things in 2026? + Those first 5 games of the 2026 are going to be INSANELY tough. What do we feel the Sooners will start out as far as W-L record during that span? Reaction of Sooner Nation if it goes sour and so much more! Want the best Sooners' intel and info in the industry? Want to be a part of a community of THOUSANDS of Sooner fans that you can talk with on a daily basis? Become a member of OU Insider and stay updated daily with insights from the OUI staff!!

Check out Marek Health at https://marekhealth.com/syatt and get 10% OFF your first order using code: SYATTIn this episode of The Jordan Syatt Podcast, I shoot the breeze and answer questions from listeners with my podcast producer, Tony, and we discuss:- Building an insanely strong deadlift- How to hit a personal record right now (immediately)- Toxic fitness culture- Prioritizing health and enjoyment- Optimizing lean muscle in your 40s- Unpopular muscle building facts- Weight loss plateaus- And more...Do you have any questions you want us to discuss on the podcast? Give Tony a follow and shoot him a DM on Instagram - @tone_reverie - https://www.instagram.com/tone_reverie/I hope you enjoy this episode and, if you do, please leave a review on iTunes (huge thank you to everyone who has written one so far). Finally, if you've been thinking about joining The Inner Circle but haven't yet... we have hundreds of home and bodyweight workouts for you and you can get them all: https://www.sfinnercircle.com/

Claude Fable 5 survives on subscriptions until July 12 after Anthropic's latest extension, and the model access rollercoaster is not over yet. This week on AI For Humans, Gavin Purcell and Kevin Pereira get into the strangest and most fascinating AI story in a while: Anthropic's new research on the J-Space, an interpretability breakthrough that lets researchers read, audit, and shape what Claude is actively thinking about, and suggests surprising parallels between language models and our own minds. Gavin even had Fig, his Claude Code, make an episode of his weird little series about it.  Meanwhile the Fable 5 rollercoaster continues: it came back July 1, was set to leave subscription plans, and in a late update we cover, Anthropic extended included access through July 12 with plans to restore it fully as capacity allows. Plus GPT-5.6 Sol is rumored to be great but still is not here, Bidi-1 got renamed GPT LIVE 1, Reuters reports Beijing may restrict overseas access to China's most advanced AI models, Seedance 2.5 might arrive sooner than expected, Gavin's microdrama hits episode two, and the insanely cool thing of the week is a live, playable demo of AI-generated Rocket League. AI FOR HUMANS BREAKS DOWN THE BIGGEST NEWS IN ARTIFICIAL INTELLIGENCE EVERY WEEK WITH ZERO DOOM AND MAXIMUM FUN   // Show Links // Anthropic's paper and video on the J-Space, reading and shaping what Claude is actively thinking about (official) https://x.com/AnthropicAI/status/2074185348142280912 Gavin's Claude Code series: the episode Fig made from the J-Space paper https://x.com/gavinpurcell/status/2074510080477925548 Anthropic extends Fable 5 on all paid plans through July 12 (official) https://x.com/claudeai/status/2074548242386178258 Anthropic's Claude Code lead on Fable leaving subscriptions and returning as capacity allows https://x.com/trq212/status/2072814903170408784 Fable 5 is leaving subscriptions, but maybe not for good (Yahoo Tech) https://tech.yahoo.com/ai/claude/articles/claude-fable-5-leaving-subscriptions-153244723.html GPT-5.6 Sol rumors: gonna be great, but not here yet https://x.com/AndrewCurran_/status/2074525651890250017 Ben Hylak: spoiled by 5.6 https://x.com/benhylak/status/2074200425562251485 Bidi-1 renamed to GPT LIVE 1 (testingcatalog) https://x.com/testingcatalog/status/2074404297618415626 Porting Command and Conquer to iPad with Fable 5 https://x.com/ammaar/status/2073501877753323772 The 3js toymaker from mrdoob https://x.com/mrdoob/status/2073666517783458071 Reuters via Yahoo Finance: Beijing weighs restricting overseas access to China's most advanced AI models https://finance.yahoo.com/technology/ai/articles/exclusive-beijing-looking-curbing-overseas-101644780.html Seedance 2.5 may be coming sooner than expected (rumor, single source) https://x.com/capcutapp/status/2073261464065122562 Gavin's microdrama, episode two https://x.com/gavinpurcell/status/2073200219786019214 Explaining the tung tung tung sahur legal battle via old cartoons in Seedance 2 https://x.com/FabianMosele/status/2072799719286354363 Insanely cool thing of the week: a live, playable demo of generated Rocket League https://x.com/gen_intuitczion/status/2074104524596457706   Join our Discord https://discord.gg/muD2TYgC8f Support us on Patreon https://www.patreon.com/AIForHumansShow Subscribe to the AI For Humans Newsletter https://aiforhumans.beehiiv.com/ Follow us on X @AIForHumansShow https://x.com/AIForHumansShow Find us on TikTok @aiforhumansshow https://www.tiktok.com/@aiforhumansshow Book us for speaking or consultation https://www.aiforhumans.show/  

What on Earth? Yep. Dan decided this week we can have a little fun and try to predict how things are going to look next month. First, let's take a look at NINE possible sleepers going into the 2026-27 fantasy draft season. Will these guys produce? Will they be drafted enough to be slept on? The Old Man Squad has a PATREON now. It's $1 and doesn't get a single benefit. It is entirely to support the mission here but won't change anything we do. https://www.patreon.com/cw/oldmansquad Follow Dan Besbris on Twitter: https://x.com/danbesbris Find Dan on the brand new BlueSky social network: https://bit.ly/3Vo5M0N Check out Dan's Google Sheet with Ranks, Weekly Streaming Schedule Charts & Injury Replacement Adds FREE! https://bit.ly/3XrAdEW Listen and subscribe on iTunes: https://apple.co/3XiUzQK Listen and subscribe on Spotify: https://spoti.fi/3ACCHYe Float on over to the new Old Man Squad Sports Network YouTube page to watch videos from the network's top talent: https://bit.ly/46Z6fvb Join the Old Man Squad Discord to chat with Dan and all the other hosts: https://t.co/aY9cqDrgRY Follow Old Man Squad Fantasy on Instagram for all our short videos: https://bit.ly/3ZQbxrt Podcast logo by https://twitter.com/freekeepoints Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We've been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we're excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when something broke. While this was painful for developers, it worked since they could fill in missing context in their heads.However, agents don't have that luxury. Now in this new era of agents, everything has to be tighter.They need a place to write code, run it, inspect the output, change the environment, debug failures, and try again. Fast iteration and feedback loops with all the necessary context are crucial for agents to operate properly. Furthermore, sandboxes are a clear representation of this shift as agents can easily spin up isolated environments. This programmatic infra even extends to research:Two years ago, we were one of the first to cover Modal with CEO Erik Bernhardsson and Alessio designed our favorite LS thumbnail of all time:At the time, Modal was just a teeny little company with a $17M Series A.Today, fresh off their $355M Series C, Modal is one of the clearest examples of the agent cloud future being built in real time: a cloud platform moving past traditional web app assumptions toward the workloads AI actually creates such as elastic inference, sandboxes, GPU burst, post-training, background agents, and infrastructure that agents themselves can operate.In this episode, Modal CTO Akshat Bubna joins swyx and Vibhu to unpack why AI applications don't fit traditional cloud assumptions, why Kubernetes was never designed for bursty compute-heavy workloads, and why Modal is now shifting from developer experience to agent experience.We go deep on Modal's AI infra stack: serverless functions, decorator-based infrastructure, elastic inference for custom models, GPU snapshotting, DeFlash, speculative decoding, Auto Endpoints, sandboxes, persistent storage, networked containers, private IPv6, RDMA, multi-node training, and Modal's capacity pool across 17 cloud providers. Akshat also explains why RL rollouts can require 100,000 sandboxes, why production agents need hard guardrails, why observability may matter more than reading code, and why AI has made infrastructure exciting again.We discuss:* Why Kubernetes wasn't built for bursty AI workloads* How Modal started as a better runtime before becoming an AI cloud* Why Modal added GPUs before ChatGPT* The shift from developer experience to agent experience* Why observability matters when agents are writing the code* Elastic inference for custom models across audio, video, robotics, and comp bio* GPU snapshotting, cold starts, and why inference workloads are so bursty* Why RL rollouts can require 100,000 sandboxes* DeFlash, speculative decoding, and frontier-level inference performance* Auto Endpoints and making optimized inference easier to deploy* What Modal adds beyond vLLM, SGLang, and raw GPU rental* Modal's 17-cloud capacity pool and supercloud strategy* Networked sandboxes, sidecars, private IPv6, and RDMA* Serverless multi-node training for post-training and research workloads* Auto-research, model-guided sweeps, and agents launching GPU experiments* Compute strategy, capacity planning, and batch tiers* Why production agents need specialized sandboxes and hard guardrails* Modal's take on managed agents, CI, Gitpod/Ona, Python, TypeScript, and Modal BenchAkshat Bubna* LinkedIn: https://www.linkedin.com/in/akshat-bubna-188885103* X: https://x.com/akshat_bModal* Website: https://modal.comTimestamps00:00:00 Introduction00:00:39 Modal's origin and why Kubernetes wasn't enough00:04:32 Developer Experience → Agent Experience00:06:21 Modal's AI cloud primitives00:09:14 Sandboxes, agent loops, and proto-Cognition00:12:12 Elastic inference, GPU snapshotting, and 100,000 sandboxes00:15:24 DeFlash, speculative decoding, and Auto Endpoints00:19:59 Production-grade inference beyond raw GPUs00:22:00 Background agents, Ramp Inspect, and the agent lifecycle00:24:08 Modal's 17-cloud supercloud strategy00:26:40 Networked sandboxes, private IPv6, and RDMA00:32:48 Multi-node training, post-training, and auto research00:37:36 Compute strategy, capacity planning, and batch tiers00:40:55 Open models, real-time AI, and production agent infra00:43:06 Hard guardrails, managed agents, and specialized sandboxes00:46:06 Why AI made infrastructure exciting again00:48:30 Model APIs, differentiated products, and agentic video00:51:50 CI, coding-agent infra, SDKs, and Modal Bench00:57:28 Closing ThoughtsTranscriptIntroduction: Modal, Series C, and the Art PartySwyx [00:00:00]: We're here with Akshat, CTO of Modal, together with Vibhu. Congrats on your Series C.Akshat [00:00:10]: Thank you.Swyx [00:00:11]: Your party yesterday was amazing.Akshat [00:00:15]: Yeah.Swyx [00:00:15]: From all the photos and all the swag.Akshat [00:00:17]: We had a bunch of art installations, which was fun, seeing, like, our products on pedestals next to, like, Rodin.Swyx [00:00:25]: Very nice. Very nice. When you started, it was not the GPU inference company. Maybe it was in your mind. Take us back to the origin story.Modal's Origin: A New Runtime Beyond KubernetesAkshat [00:00:39]: I first met Eric, who's the CEO, through an investor. Back then Eric was already thinking about building, a new runtime, and he got there thinking through why are workflow orchestration products so hard to use. It's because you have to run them on Kubernetes. Kubernetes is hard to manage. It's not built for burstiness and, custom images,Swyx [00:01:03]: YeahAkshat [00:01:03]: It has a terrible developer experience.Swyx [00:01:05]: And I'll, I'll interjectAkshat [00:01:06]: YeahSwyx [00:01:07]: For listeners, who are new, we interviewed Eric two years ago, and there's a bit more of the story there from Spotify and all those things.Swyx [00:01:14]: And I came across Eric through Data Council because he did that talk on the serverless container stack that you guys did, which was like, that was my first like, “Okay, I need to take Modal very seriously” moment.Akshat [00:01:26]: Yeah.Swyx [00:01:26]: But it was still very unclear, like, do I need all this for just my data pipelines?Akshat [00:01:33]: Yeah. initially what we were thinking about was if we build a better runtime, it's a very useful primitive in itself. It's There's a lot of things that, get solved by serverless functions, like you can do, ETL stuff, you can do job queues, you can do all this, like, bursty processing, which it turns out every company had needs for. but then we also were thinking about this as like, this is a primitive that we can build a whole collection of products on, which are very verticalized. So perhaps data engineering would've been the first one, but we were thinking about inference. Back then it was more classical inference, like computer vision stuff and running XGBoosts and whatnot. But we added GPUs to the product a year before ChatGPT came out.From Serverless Containers to GPU WorkloadsSwyx [00:02:19]: Nice.Akshat [00:02:19]: We just didn't think it would be that big of a deal.Swyx [00:02:22]: Yeah, just like add A100.Vibhu [00:02:23]: Was there any, like, early key problem that really sparked off why you built it?Akshat [00:02:28]: Yeah. Primarily it's just, none of the tooling that was out there was built for, one, a really great developer experience, and also there's a general trend of, a lot of the workloads that we were seeing were very. I wish there was a better word for it, but compute-heavy. Like, they need, one, like, need a lot more resources, so you need to burst up and down a lot, versus like Kubernetes designed for, like, slow scaling and, more for, like, web server use cases. And also there's just a lot more specialization in, like, what kinds of environments these workloads run in. Like, we had sometimes they need accelerators, sometimes they need different kinds of images, and this is just like a consistent thing that we saw across a lot of companies. That would be the next step.Software-Defined Infrastructure and Decorator-Based DXSwyx [00:03:13]: Yeah. Yeah. Be nice. I don't know how much this factored into the early story, but I wrote a post when I was at Temporal about infrastructure, software-defined infrastructure or something like that.Akshat [00:03:22]: Yeah, the self-provisioningSwyx [00:03:23]: Self-provisioning.Akshat [00:03:24]: Yeah.Swyx [00:03:24]: Yeah. I can't even remember my own post.Swyx [00:03:26]: And then you put me on the landing page.Akshat [00:03:28]: Yeah. We really like, the term and so we stole it.Swyx [00:03:32]: Because you had the insight that everything can just be in decorators co-located with the code, right?Akshat [00:03:37]: Yeah.Swyx [00:03:37]: Was that a big part of the originalAkshat [00:03:39]: YesSwyx [00:03:39]: Story or it was just like a DX layer?Akshat [00:03:41]: That was, really important because we really didn't want people to spend, so much time, writing YAML, and it seemed like you could really condense the surface area of what you're doing, put it in code so you can operate on it just like you operate on other code, and like build stuff that's more expressive and dynamic. and so yeah, that was always a very important part.Swyx [00:04:04]: Then the pushback is this is a DSL.Akshat [00:04:07]: Yeah.Swyx [00:04:07]: It's you're closed source. I am locked into Modal.Akshat [00:04:11]: Yeah. We never really got pushback for that because the nice thing about Modal is you can bring whatever code you have, and sure, the DSL is at the configuration layer for, what hardware you're using, how you're scaling things up, but you still own the code.Akshat [00:04:27]: And that's, that's been an important, part of our story, even as we do inference now.Swyx [00:04:32]: Yeah.Vibhu [00:04:32]: How much of do you think still stays the same today? Like if you were to build something today, DevX very important, but I feel like, a lot of this has been changed with just hook it up to an agent, have Claude Code, have Codex implement a tool. there's very agent native primitives that are different than if I'm doing this myself, right?Developer Experience → Agent ExperienceAkshat [00:04:54]: We've changed our SDK team to think about agent experience instead of, developer experience and we think that the same benefits that apply for DX also apply for AX, which is why would you have an agent read through hundreds of Kubernetes files and like write YAML that's not even typed when it can make a couple of changes in a decorator and it gets this self-provisioning runtime of, being able to see its changes live in action? yeah, it just seems from the customers we talk to, they find Modal is much faster for agents to use versus operating on a different substrate.Swyx [00:05:34]: Yeah, because like you, again, you co-locate the infrastructure requirements to the code that runs it.Akshat [00:05:38]: Yeah.Swyx [00:05:38]: Well, the negative thesis now is that nobody's looking at their code anymore, so there's no point.Akshat [00:05:44]: Yeah, people aren't looking at code. one thing we still see is really important is observability.Swyx [00:05:51]: Yeah.Akshat [00:05:51]: Like how good is your dashboard? And of course, like we have, we push a lot of it to the CLI so the agents can do their own investigation, but you still need humans to go interpret what's going on and, make judgment calls and whatnot. and that's I feel like, Maybe more important now than looking at the code itself.Swyx [00:06:11]: Yes, because like, you can try to treat the code as a black box and then use, see the observable action that comes out of it, and then just prompt a change.What Modal Is For: AI Cloud PrimitivesAkshat [00:06:21]: Yeah.Swyx [00:06:22]: So I think it takes a bit of restraint to not specialize, to say, “I want to ship a new primitive,” and then just be general purpose.Swyx [00:06:31]: People ask you, “What are you for?” You're like, “ I don't know. We can do this, we can do that.”Vibhu [00:06:36]: Well, I'd be curious to see, like, okay, if we were to ask you, like, what is Modal for even at a high level? There's a lot you guys do, sandboxes, GPUs, everything. How do you answer?Akshat [00:06:46]: Modal is a cloud platform that's built for, where we've built the primitives from scratch for AI applications. and right now it covers, inference, training, batch processing, and sandbox workloads.Akshat [00:07:00]: But we're building a lot moreSwyx [00:07:02]: I noticed you didn't say web server, so there is still a role for, like, the always-on large-scale Kubernetes type things.Akshat [00:07:09]: Yeah, absolutely. We're, we're not trying to compete with the renders of the world, because yeah, we think the differentiator for us is the, are the workloads that need specialized compute, need to scale up and down a lot. yeah, they're, they're, they're just shaped differently.Working Alongside Frontier StartupsVibhu [00:07:26]: I think you're building a lot of it alongside the startups, right? They're innovating quite a bit, even in your, like, latest blog post. Like, even in the series C, the customers that you mention here, the cognitions, technical ones, ramps and whatnot, they're, they're innovating with you, right? And that's not something AWS is doing directly with.Akshat [00:07:45]: Yeah, absolutely. I think, this is again classic. We're a small team. We can move really fast. our engineers are working with our customers and figuring it out. Yeah.Swyx [00:07:54]: So my first week at Cognition, I walked in, there was someone wearing a Modal shirt. I was like, “What are you doing here?” They're like, “Yeah, I just. I am embedded inside of Cog.”Akshat [00:08:05]: Yeah, I think that was Peyton. We sent him overSwyx [00:08:07]: Yeah.Akshat [00:08:07]: Because, the latency of communication was too high otherwise.Swyx [00:08:12]: Yeah, distributed node, you have to - you have to place one and collocate.Vibhu [00:08:16]: Yeah.Swyx [00:08:16]: So I had a, I had direct personal experience, right? So I worked on smol developer three years ago. it was inspired by Claude 1. I think you onboarded me at some point, like, just before, and I was like, “Oh, like, I need some bursty compute. Like, I was just gonna try using Modal.” And it was a, it was a pretty pleasant experience. apparently, I showed up in the board meeting, like the analytics.smol developer, Sandboxes, and Proto-CognitionAkshat [00:08:39]: Yeah, you blew up on Hacker News and,Swyx [00:08:41]: YeahAkshat [00:08:41]: We got a big traffic spike. I. I think the way you used smol developer was Modal functions for running stuff, which was. Like, the, that was a good use case. but then, yeah.Swyx [00:08:53]: Yeah. That - So to me, that was proto-cognition.Akshat [00:08:55]: Right.Swyx [00:08:56]: If only I had, like, stuck to it.Swyx [00:08:58]: Like, that was like, if - did you say draw the tech treeAkshat [00:09:00]: AbsolutelySwyx [00:09:00]: You're just like, “Yeah, like, probably this will happen.”Akshat [00:09:02]: Yeah. Like, he was so close. You were just rebuilding upon usSwyx [00:09:04]: I just didn't realize.Akshat [00:09:05]: But the funny story there is at the same time, we were talking to a bunch of customers who needed something like sandboxing.Swyx [00:09:14]: Yeah.Akshat [00:09:14]: This is like twenty-three.Swyx [00:09:15]: Yeah.Akshat [00:09:16]: So we builtSwyx [00:09:17]: You introduced a new API right after that.Akshat [00:09:18]: Yeah.Swyx [00:09:19]: Yes.Akshat [00:09:19]: Like, we built sandboxes in May of twenty-three before anyone was even knew this was gonna be a thing. And the first example we published was, we took smol developerSwyx [00:09:28]: Smol developerAkshat [00:09:28]: And put it in a loop, so the agent can iterate on itself.Swyx [00:09:33]: Loops are hot these days.Vibhu [00:09:34]: It's the looper.Akshat [00:09:34]: Yeah.Vibhu [00:09:35]: Loops in. When was this, twenty-three?Akshat [00:09:38]: Yeah.Vibhu [00:09:39]: A small check.Akshat [00:09:39]: Yeah.Swyx [00:09:39]: It's like twenty-three. so the. the, those for listeners, like, the problem was the models are not built for any of this, right?Swyx [00:09:46]: Like, you're just trying to like. They're not post-training to understand, like, looping and, like, self-correction and tool calling was there, but, like, also not that great.Akshat [00:09:55]: Yeah.Akshat [00:09:55]: I don't remember if you used tool calling in this one, but yeah, the models would just diverge after like ten iterations and not produce anything meaningful.Swyx [00:10:03]: Yeah. But like, then. So okay, like now talking to myself three years ago, the answerVibhu [00:10:08]: Of course they will get betterSwyx [00:10:09]: Collect all the failures, build benchmark, and then collect all the, examples, build the RL environmentAkshat [00:10:15]: RightSwyx [00:10:15]: Sell it for like ten billion dollars to Meta.Swyx [00:10:17]: And then also train a model and then sell that for sixty billion dollars to Elon. And this isAkshat [00:10:23]: Yeah, of courseSwyx [00:10:23]: The funny machine. Like, it's like, it's about the hardware.Akshat [00:10:28]: It's hard to have that inherent conviction that the stuff will get that much better.Swyx [00:10:33]: In retrospect, it's so f*****g obvious.Akshat [00:10:36]: Fair enough.Swyx [00:10:37]: Like, what else were we doing back then? I don't know. anyway. Yeah. So this. That was the start of your sandboxing journey, right? I feel like it didn't blow up until, like, last year.Akshat [00:10:49]: Yeah.Swyx [00:10:50]: So there was like a couple years of quietness.Akshat [00:10:52]: Exactly, yeah. We wereVibhu [00:10:53]: I think very underrated product value. Like, my experience with Modal, Charles, before he had joined Modal, met this guy at a hackathon, and he really insisted we wanted to run some small model, not hosted anywhere, and he's like, “ there's this cool company, Modal. They'll like spin up a GPU sandbox, we can throw it on there. They'll take a Hugging Face link.” And like there's so much value just right there, right? Like instant hosting, spin it up, spin it down. It'll stay cold, but we run the demo a few days later, it'll come back up and like all this stuff in retrospect, like it's still what we needed like today.Akshat [00:11:27]: Yeah, it's still needed today. workload shapes have changed a lot as, we run stuff for people with really massive production scale and, there it's it's not about scaling from zero to one, but it's how do we scale really elastically, from like thousand to fifteen hundred GPUs very quickly in a given region. It's the same shape problem.Elastic Inference, GPU Autoscaling, and Custom ModelsVibhu [00:11:50]: Okay. So you look at, say, Cursor Composer, right?Akshat [00:11:53]: Yeah.Vibhu [00:11:53]: They had a. “We'll do RL on a model every couple hours.” you guys have a whole version of RL inference gym and whatnot.Vibhu [00:12:01]: When you look at workloads like that, you're doing train runs where you need to scale up, scale down every hour thousands of GPUs, right? That's the example for we do need it, right?Akshat [00:12:12]: Yeah. Well, so I'll, I'll take a step back and, maybe talk about like how people use Modal today. because our biggest use case is, elastic inference. And the thing we first found product market fit, with was inference for custom models. So we stayed away from the LLM space, and we were serving companies like Suno for audio, Runway for video, robotics, comp bio companies that train their own model elsewhere. But Modal is the best black box that for deployment, scaling to however many GPUs you need as your traffic pattern changes. And we saw all of them like have a very unpredict- predict- predictable, traffic pattern. it's like diurnal. It's Some days, like the company will do a launch and, they'll need like, way more. And it's not just one model that they deploy. They-- all these companies deploy, lots of different models in different regions, and so the autoscaling problem becomes even harder because then you have to scale within a certain region, and those cycles are offset. So different times you scale up in different regions.Akshat [00:13:20]: So that's like our sortVibhu [00:13:22]: And thatAkshat [00:13:22]: YeahVibhu [00:13:22]: That in and of itself is a huge category. There's a bunch of inference providers which, provide this fireworks, does this as a service together, whatnot, Base10. that's carved into its own niche for language models, at least right now.Akshat [00:13:36]: Yeah. the thing that we have specialized in is the autoscaling aspect.Vibhu [00:13:41]: Yeah.Akshat [00:13:41]: Because we found that it's not universally true that everyone else can autoscale, and we've gone deeper into it on the tech side by, we've incorporated GPU snapshotting into the product so we can take the GPU state, like your torch.compile model, snapshot it, and the next cold start is way faster. And so going back to your question, it's That's why you need a lot of burstiness for inference. But then people also do a lot of demand training, like for RL stuff, your rollouts are bursty, as you said. People also do a lot of batch jobs. So we'll see, a lot of companies, before they have a training run, they'll need thousands of GPUs to run encoding or something like that. And I think those things are much more bursty than. I agree that agents are not that bursty. sandboxes are, except when you're doing RL. RL is justRL, Batch Jobs, and 100,000 SandboxesVibhu [00:14:28]: Or commerceAkshat [00:14:28]: Insanely bursty.Vibhu [00:14:29]: Yeah.Akshat [00:14:30]: Yeah. Like when you're doing, rollouts, you sometimes need a hundred thousand sandboxes in your sandboxes.Vibhu [00:14:37]: Yeah. I'm curious if you've seen early sparks of continual learning. There are some people, like our friends, ngram, recently announced thisAkshat [00:14:45]: YeahVibhu [00:14:45]: They're, they're trying to do training. That also seems like a different workload, right? If you're doing training twenty-four/seven per se, there's a very weird dynamic of how you're using GPUs between people and whatnot, but seems like something you guys would work for.Akshat [00:15:00]: As you said, we're, we're fortunate to work with a number of, customers at the frontier and grab some of our customers. and they are taking the primitives we have, and trying to use them in very interesting ways, like continual learning. It's possible as the stuff gets better, some of that will be part of, our offering as well if, more people need it. but we're, we're just waiting to seeVibhu [00:15:23]: YeahAkshat [00:15:23]: How it shakes out.Vibhu [00:15:24]: Is there a primitive that you added after sandboxing that was the next step in the story?LLM Inference, DeFlash, and Speculative DecodingAkshat [00:15:32]: I guess we've been going much deeper into LLM inferenceVibhu [00:15:35]: YeahAkshat [00:15:35]: Because we realized that some of the advantages we have with like autoscaling, again, especially in different regions and whatnot, are, not present elsewhere. and the place where we had a gap was we weren't, working on the model layer itself. Like we were a black box. And, we realized that, we can get to frontier-level model performance, with, by having great people who work on this. And, we've been open sourcing a lot of our work, in terms of, Recently, we, shared our work on DeFlash, which is a block-based, speculator, and we've open sourced, all of it. So, you can - By using open source DeFlash, you can get the same performance as you would with one of the proprietary providers. And the next thing we're thinking about hereVibhu [00:16:23]: I thought this wasAkshat [00:16:24]: YeahVibhu [00:16:24]: An interesting blog post as well, right? Like, I think in here you make a claim that. Not a claim, just that how effective speculative deco-decoding really just get to.Akshat [00:16:33]: Yeah.Vibhu [00:16:33]: Anything you wanna point out from this around, what people should know?Akshat [00:16:39]: Yeah, absolutely. the high-level summary is, it would help to describe what speculative decoding is.Vibhu [00:16:44]: Yes.Akshat [00:16:44]: I will, yes.Vibhu [00:16:45]: I think, likeAkshat [00:16:46]: YeahVibhu [00:16:46]: So we've covered like Eagle and all thisAkshat [00:16:47]: YeahVibhu [00:16:47]: Like Hydra and all those things, but it was like two years ago.Akshat [00:16:51]: Yeah.Vibhu [00:16:51]: I think it doesn't hurt, right?Akshat [00:16:52]: Yeah. Speculative decoding is you have a smaller model, called a draft model, predict tokens ahead of the bigger model, and then you have the bigger model, verify all of this, all the tokens are predicted. And the reason it's faster is if you're predicting, one token at once, you're bound by memory bandwidth. But if you can batch the verification of, the draft model, then you're much more efficient using compute, and it's faster, and as long as your draft model is producing a lot of tokens that can get accepted, which is called the accept length, you can get a speed up that's, multiple times of, the original model speed. and well, that's what we highlight here. It's Like people talk a lot about we made these kernels faster and whatnot, but improving kernel will only give you like few percentage points of improvement, and, increasing accept length, literally is a multiplicative decreaseVibhu [00:17:47]: Like two to four X.Akshat [00:17:48]: Yeah, exactly.Vibhu [00:17:48]: Without much head-on performance.Akshat [00:17:50]: Yeah. I think it may - you are running a second model, right? So it may be something more expensive in the compute,Vibhu [00:17:57]: I meant quality performanceAkshat [00:17:58]: Probably not by muchVibhu [00:17:58]: But yeah. I thinkAkshat [00:17:59]: So there's no drop in quality performanceVibhu [00:18:01]: YeahAkshat [00:18:01]: Because you're always. You're never accepting a token that the big modelVibhu [00:18:04]: It's strictly betterAkshat [00:18:05]: YeahVibhu [00:18:05]: Or it's same.Akshat [00:18:06]: Exactly.Vibhu [00:18:07]: Right. Yeah.Akshat [00:18:08]: And so we've been working a bunch on DeFlash, which is a block-based speculator. so it's instead of predicting, one token at a time, it's predicting a block. And we've been open sourcing our work with it. The next thing for us here is for helping people train speculators and custom models. it's it's something that traditionally is very forward-deployed engineering driven, support deployed, engineer driven, like you work with customers and help them do that. And our vision for. This is why we launched Auto Endpoints, is we want to make frontier-level performance available to everyone. And so, we mentioned this in the announcement, we teased it. The next thing we're, we're launching is, as you run an auto endpoint, we shadow trafficAuto Endpoints and Frontier-Level PerformanceVibhu [00:18:54]: Do you want to explain what auto endpoints are?Akshat [00:18:57]: Yeah.Vibhu [00:18:57]: I lovely, yeah.Akshat [00:18:58]: Yeah. So, this is, I guess, going back to your Modal is you touch the code, but, sometimes people don't wanna touch the code, and they wanna get started with an endpoint that works and has all the great performance and, scalability that Modal has. So we've made that easier with, a way to create an endpoint from our UI, from the CLI, that has all of our optimizations that we talked about, like the DeFlash stuff already baked in, and there's full transparency. So we give you the code, you can go run it yourself, and if you want, you can eject out into the full Modal experience, which we see as people get sophisticated, they do wanna tweak the models, they wanna, fine-tune stuff. You can still do all of that. It's it's not a black box. And yeah, the next thing, as we teased later in the post, is how do we give you value even beyond this in terms of having your draft models evolve as your data distribution evolves, again, without having to talk to a person and, yeah.Vibhu [00:19:59]: I guess just to understand it directly, you have the GPUs, you have an endpoint that's compatible, you serve open model. If someone was to do this themselves, what's the delta that you guys provide? So you do a lot of open source great work on effective inference. how does it compare to, say, I take the same model, 5.2 FP8, take shelf inference engine, vLLM, SGLang, get compute of similar capacity, similar cost. What's the delta that plugging into something this, like this offers outside of the benefit of, scaling?Production Inference Beyond Raw GPUsAkshat [00:20:34]: It's interesting because we've taken the approach of open sourcing our contributions and upstreaming them. we work closely with the SGLang team. We want the improvements that our team, comes up with to be, there in open source for others to use, even outside of Modal. The benefit to us is we have a team that has significant expertise in terms of if you do have something that is not there, our team can help you get that performance, first. the other thing is with these endpoints, we are way more elastic, as you said, than, anyone else, and you have true scaling to zero. you have true, burstiness, and in practice, that matters a lot more to people than just finding, the GPU and, running Modal code on something.Vibhu [00:21:20]: Yeah. And I will say it's not that straightforward to just. like what I said is easier said than done, right?Akshat [00:21:26]: Yeah.Vibhu [00:21:27]: It's I think still for the average person, still hard to just gut check using different. There's, there's quite a bit of combinations you can make there. the trade-offs aren't really known at face value.Akshat [00:21:40]: Yeah. it's it's not just that. I think it's it's that running production-grade inference is a hard infer problem.Vibhu [00:21:49]: YeahAkshat [00:21:49]: Even if you subtract out the autoscalingVibhu [00:21:50]: YeahAkshat [00:21:51]: Is controlling things like tail latency and, making sure every, request is delivered at least once and whatnot.The Model and Agent LifecycleVibhu [00:22:00]: There's a lot of innovation that you can do here. I think, it's very interesting that you're starting to encroach on, like as you become a full cloud, you're starting to encroach on other people's turf.Vibhu [00:22:09]: What will you not do?Akshat [00:22:13]: Well, we wanna follow our users and, make sure they get like a platform that has everything that works well together. so right now we're focused on the model lifecycle and the agent, lifecycle. so both like going from data prep to training to inference, and then also if I want to deploy a background agent, let's say, sandbox, do persistent storage, a whole bunch of other stuff.Vibhu [00:22:38]: We talked to Cole, who did, OpenInspect. Yeah.Akshat [00:22:42]: Yeah.Vibhu [00:22:42]: And RealInspect also is on Modal.Akshat [00:22:44]: Yeah. So Ramp Inspect was a great example of a background agent that was really successful because they, were able to use some of the primitives like snapshotting and fast scaling to just have something that feels really reactive and works well.Ramp Inspect and Background AgentsVibhu [00:23:02]: Yeah. That's the new CTO of, Ramp right there.Akshat [00:23:05]: Yeah, Rahul.Vibhu [00:23:08]: It was really fun. yeah, okay, I think, all very bullish. Like, one of my reflections was also I did not originally. So when I met you guysThe Inference Inflection: CPU, GPU, and Co-LocationVibhu [00:23:19]: You weren't that much in the GPU game, and now you're all about, inference. And one of the points that I hinged on for Jensen's keynote at GTC this year was, what we're calling like the inference inflection, right? That let's say in AI workloads or machine learning workloads, it used to be like, let's call it eight to one GPU to CPU, and now it's more like one to one, which is like a interesting. Like, - because of how much agents are blocked or call out to this, to CPU heavy stuff the actual, like, limiting factor, like, swings back and forth from GPU to CPU a lot more than it used to be all GPU and then occasional CPU.Akshat [00:24:01]: Yeah.Vibhu [00:24:02]: GPU, CPU. And now it's like just constantly, and you just have to locate everything.Seventeen Clouds and the Supercloud StrategyAkshat [00:24:08]: Yeah. And that's one of the things that, again, we see as, something appealing about Modal, which is we've built this capacity pool that spans, 17 cloud providers, so we're, we're very good at Running on various kinds of cloud capacity across the worldSwyx [00:24:24]: You don't have your own data centers?Akshat [00:24:25]: We don't have our own data centers. We just run across a lot of neo cloudsSwyx [00:24:29]: Yeah. AreAkshat [00:24:30]: Metal providers.Swyx [00:24:30]: Yeah. Question mark.Swyx [00:24:31]: Yeah. You're, you're running the math, and you're like, “What's the cutover point where you're like.”Akshat [00:24:36]: Yeah, it's a good question. part of it is we see our differentiator in the software layer, and, being capital light and focusing on the software helps us move really fast. so far it's worked out well because there are so many other people building data centers that we're able to work effectively with them, and again, focus on what makes us, special.Swyx [00:24:55]: Yeah.Swyx [00:24:56]: 17 gets you into, like, the local providers sometimes. LikeAkshat [00:25:00]: The,Swyx [00:25:01]: Which was the most interesting one?Akshat [00:25:02]: There are a lot more neo clouds than you expect, and they all have various degrees of, various levels of reliability. And, that's why it's something we've invested a lot of time in, is building our own reliability layer on top. so if the GPU falls off the bus or something happens, we user workloads are not affected, and that lets us use a lot more capacity than,Swyx [00:25:30]: YeahAkshat [00:25:30]: You as a user would be able to.Swyx [00:25:32]: It's a useful thing to have because like now everyone knows, like, what layer you are and, like, you optimize for being the super cloud of all clouds.Akshat [00:25:41]: Yeah. That's, that's, that's the idea. and so I guess when you mentioned colocation, that's, that's another interesting thing where, one thing we've seen is people come to us when they want, very specifically located, CPUs or GPUs, like they wantSwyx [00:25:57]: Oh, they pin it in likeAkshat [00:25:58]: YeahSwyx [00:25:58]: EU?Akshat [00:25:59]: Exactly. Or EU, US.Swyx [00:26:01]: Right. Data resiliencyAkshat [00:26:02]: AustraliaSwyx [00:26:02]: Locality thing or performance or what?Akshat [00:26:04]: It's either data locality or latency, yeah.Swyx [00:26:07]: Yeah.Akshat [00:26:07]: Like, you want your. They're running sandboxes and model. They want them to be right next to aSwyx [00:26:10]: Yeah, it's easy thenAkshat [00:26:11]: YeahSwyx [00:26:12]: To. That is important in all those things. and so, like, you've accidentally, I don't know if it's accident, but, like, you've built the perfect primitive for agents to express themselves. And then, like, it's almost very funny how every extra development just involves more file system, just involves more CPU.Akshat [00:26:30]: Yeah.Swyx [00:26:31]: Just like the things that you already have. I don't know much about, if there's any, like, networking usages that are interesting, but you've also done some good work on networking.Networking, Sidecars, Private IPv6, and SandboxesAkshat [00:26:40]: Yeah, that's exactly right. Like, we're just taking compute storage and networking and building stuff on that layer, for, again, the stuff people need.Swyx [00:26:49]: YeahAkshat [00:26:50]: We see a few interesting networking things coming up. one is people want networked sandboxes. so we haveSwyx [00:26:57]: For like a Docker cluster type thing.Akshat [00:26:59]: Yeah.Swyx [00:26:59]: Sorry, Docker Swarm. Oh, f**k. What is it called?Akshat [00:27:02]: Compose.Swyx [00:27:03]: Compose type thing.Akshat [00:27:04]: Yeah. So if you want Docker Compose, our sandboxes now support, this thing called sidecars. So you can. A sandbox is a pod of containers, and you can run multiple containers in, a sandbox. also useful because, going back to networking, people want a lot of control over, outbound networking from a sandbox.Swyx [00:27:23]: Yeah.Akshat [00:27:23]: Like, they might wanna run a middle proxy for, like, maybe logging stuff for RL or, controlling how egress can happen to a domain, injecting credentials. and yeah. So we've, we've had to build a lot of that stuff ourselves.Swyx [00:27:38]: Yeah.Akshat [00:27:39]: But then also sometimes people want, sandboxes spanning multiple nodes to talk to each other, which is an emerging thing we're seeing. We have support for that for a different reason, and yeah, we'll see if that becomes stable.Swyx [00:27:52]: Like, just an open socket. It's a. This is directly like mTLS.Akshat [00:27:56]: We do support that, which is you can, expose a tunnel inside a sandbox.Swyx [00:28:01]: Yeah.Akshat [00:28:01]: And then you can either expose it to public internet or it can be, you can add like a HTTP, auth layer above it. But we have this thing called I6PN, which we haven't talked about, which is this, like, overlay network using IPv6 addresses. so if Modal containers, within the same workspace, when this is enabled, can address each other using this private IPv6 address, and no one else can.Akshat [00:28:28]: So it's like private networking, for containers. We built it because we needed it as a primitive for our distributed training product. so we have this other feature, which is you can add a decorator to a function, and you get a cluster of GPUs. and they have RDMA networking. so you can run a distributed training job, that's truly serverless. and we did the overlay network for that. But then we've seen that people are using it for other reasons, and, I'm intrigued to yeah, what would people do with it.Swyx [00:28:59]: Build primitives and let people figure it out, right?Akshat [00:29:01]: Yeah, exactly.Swyx [00:29:02]: You put out a pretty interestingAkshat [00:29:03]: They're like, they read the docs webpage. Let me use thatSwyx [00:29:06]: YeahAkshat [00:29:06]: Something they never intended to work. This is literally not even in our docs page. People somehow found it, and they're using it.RDMA, Memory Movement, and Distributed TrainingSwyx [00:29:12]: Huh.Swyx [00:29:14]: The way you portrayed it with, like, RDMA versus TCP, like, very well laid out, but just the transfer speed change at scale for RL, like yeah, you have it, you have it built in. I'm sure someone found it. It's found it to be a lot more efficient before you made a thing out of it, right?Akshat [00:29:32]: Yeah. And not to split hairs, I guess the overlay network is the TCP overlay network.Akshat [00:29:39]: The reason we have that is you need that to do the key exchange for RDMA before you set up the RDMA network on top of that. but then people found the TCP part.Swyx [00:29:48]: Can I tell you, this is like a big aha moment for me becauseAkshat [00:29:51]: YeahSwyx [00:29:51]: So I review 2,200 submissions for the World's Fair.Akshat [00:29:56]: Yeah.Swyx [00:29:57]: And then I got this from John OsterhoutAkshat [00:29:58]: HuhSwyx [00:29:59]: Who I don't know if. Do John Osterhout by name?Akshat [00:30:01]: The name sounds familiar.Swyx [00:30:02]: He published a. He's a well-known professor, published a lot of interesting software design books, and this is the talk he chose to submit, is on RDMA at Inference. And I'm like, you wouldn't think that this guy, who is like operating systems guy, would care about RDMA.Akshat [00:30:20]: I, it makes sense to me because I,Swyx [00:30:24]: This is the cloud, right? YeahAkshat [00:30:25]: Like, the way you move around your KV cache and how efficiently you can do it, how efficiently you move, your weights from your training GPUs to your inference GPUs in RL is there's a lot of degrees of freedom, and it is a systems problemSwyx [00:30:41]: YeahAkshat [00:30:41]: Moving memory aroundSwyx [00:30:42]: YeahAkshat [00:30:43]: Scheduling.Swyx [00:30:44]: This shows you how primitive my understanding of networking stuff is.Swyx [00:30:46]: Is this like the domain of WireGuard as well?Akshat [00:30:50]: Not quite.Swyx [00:30:51]: It's adjacent?Swyx [00:30:53]: Explain everything.Akshat [00:30:54]: Sure.Swyx [00:30:56]: How do we move memory around GPUs?Akshat [00:30:58]: Well, so sorry. Yeah, that is memory. Sorry, I was talking more, and maybe I was talking like five minutes back, about the private IPv6, addressing that you've set up.Swyx [00:31:09]: Yeah.Akshat [00:31:09]: Is it like it's a VPN?Swyx [00:31:10]: Yeah, it is like a VPN, and yeah, WireGuard is, yeah, you're right. It is,Akshat [00:31:16]: Right. Yeah, you already moved on to new topicsSwyx [00:31:17]: A similarAkshat [00:31:18]: OkaySwyx [00:31:19]: In the same space, WireGuard is, encrypted and this is,Akshat [00:31:23]: And you don't need encryption.Swyx [00:31:23]: Yeah.Akshat [00:31:24]: Yeah.Swyx [00:31:24]: This is not encrypted. that's the main difference. This is TCP and we have eBPF programs that will reject or allow the TCP connection based on whether you're allowed to do it.Akshat [00:31:35]: Used to involve a full sidecar, but now you have eBPF in the Linux kernel.Swyx [00:31:39]: Yeah.Akshat [00:31:40]: Yeah. I don't know if this is a natural follow-on to the topic of like my skepticism on distributed training is that while, like, people spend a lot of money on, like, cables to hook up GPUs, and even that is not, like, fast enough, and that's the bottleneck, is your networking fast enough?Swyx [00:31:59]: Yeah. So I guess you're talking about fully distributed training like, Dialog or something which is like cross data centerAkshat [00:32:06]: That would be, yes.Swyx [00:32:07]: That's the extreme.Akshat [00:32:08]: Yeah.Swyx [00:32:08]: You're in the middle, and then other people would have like the Mellanox cables up in, like, their actual data center.Akshat [00:32:14]: When you run multi-node training on Modal, RDMA, I think Mellanox, is, or InfiniBand is like a, is all seen as RDMA. but it's a way to bypass the TCP networking stack and, transfer, stuff much faster, between one node, to the other. And we have I think like 3 terabit per second, internal networkingSwyx [00:32:40]: OkayAkshat [00:32:40]: Which is the standard that's needed.Swyx [00:32:42]: Okay. So I misunderstood whatAkshat [00:32:43]: 50Swyx [00:32:43]: What part of the stack you wereAkshat [00:32:44]: 50 gigs overSwyx [00:32:45]: YeahAkshat [00:32:45]: If you wentSwyx [00:32:45]: YeahAkshat [00:32:46]: RDMA.Swyx [00:32:46]: Okay.Swyx [00:32:48]: Yeah. I, very impressive work.Multi-Node Training, Post-Training, and Auto ResearchSwyx [00:32:52]: So effectively you're extending like the model philosophy to the training cluster, like, yeah.Akshat [00:32:59]: Yeah. And we're, we're not going for like large scale training runs. the thing that we've built multi-node training for is, we see a lot of, smaller scale post-training. like, people are post-training like medium sized fund models, so they can, get higher quality on inference. this is a perfect fit, for something like that.Swyx [00:33:21]: Yeah. That is my impression of how a lot of these labs explore branches in post-training and then eventually merge whatever they find in.Akshat [00:33:31]: Yeah. The other use case we've seen for multi-node training is even if you have a big cluster, your researchers are still doing small runsSwyx [00:33:38]: YesAkshat [00:33:39]: Having elasticity thereSwyx [00:33:40]: Right, sureAkshat [00:33:40]: Matters a lot more.Swyx [00:33:41]: Yeah. the, like, this is like the current limiting factor for auto research, which is like you need to give your model some GPUs in order for it to completely run.Akshat [00:33:51]: We have a blog post on auto resource and model is,Swyx [00:33:55]: YeahAkshat [00:33:56]: Yeah, like, turns out to be pretty good substrate for that.Swyx [00:33:59]: So my impression is auto research means many things, likeAkshat [00:34:01]: YeahSwyx [00:34:01]: Anything that Andrej coins. Right now it's still science fair, right? Like not like, I don't know how many people are doing this.Akshat [00:34:08]: We're having a golf.Swyx [00:34:08]: Yeah.Akshat [00:34:09]: I thought the same thing.Swyx [00:34:11]: Yeah, you would know.Akshat [00:34:12]: We, like, our internal both training and inference teams use this the general shape of this quite a bit. like we have this one internal repo called auto inference, which essentially we've automated our own forward-deployed engineering efforts using, this harness, which is, the agent will just spin up a sweep of different things. It'll even run like, NVIDIA inside profiler and it'll like tweak configs and it'll arrive the right thing. it'll change your GPUs both from H200 to B200, and works really well.Swyx [00:34:47]: Nice.Akshat [00:34:47]: So yeah.Swyx [00:34:48]: By the way, I enjoy that your forward-deployed engineering is so technical that you have to do these things.Swyx [00:34:52]: It's very different from forward-deployed engineering from other people.Akshat [00:34:54]: Yeah. For our forward-deployed engineering team is, essentially they're like applied inference researchers or applied training researchers.Swyx [00:35:02]: Someone told me like they have to be able to build, but they also have to be able to sell. do they have to sell or are they like they're good, they're just like post-sale type of thing?Akshat [00:35:09]: It does, being able to talk to a customer and engage effectively with themSwyx [00:35:13]: YeahAkshat [00:35:13]: Matters a lot.Swyx [00:35:14]: They want the same thing.Akshat [00:35:15]: Yeah.Swyx [00:35:15]: ?Akshat [00:35:15]: But it's it's not really a sales, thing. We pair them with-- We have solution architects as well that are more on the sales side.Swyx [00:35:23]: Okay. Let's spend a bit more time on auto research. This is a big focus for for this year. Where does this go? like, have people explored enough? Like, there's all these beautiful charts of like improve and then level off a bit and then you find the next thing. Is this one abstraction up from normal training? Is that how we think about it, or do you think about it differently? Like model level training versus high, like driven hyperparameter search.Auto Inference and Modal BenchAkshat [00:35:51]: Yeah, like,Swyx [00:35:51]: Someone, some people call it like neural architecture search or whatever, right? Like.Akshat [00:35:54]: Yeah, - So the stuff I've seen people do with it is nowhere on the architecture level. It's pretty much tweaking parameters, but it's it's a hyperparameter sweep that's guided by some model intuition, so it's like much more efficient than, whatever other, sweep you would have.Swyx [00:36:12]: Yeah, it's just, it's just a question of where you want to spend your compute?Akshat [00:36:16]: Right.Swyx [00:36:16]: ‘Cause yeah, you can just throw infinite amounts of money on this and somehow you'll bang out Shakespeare?Akshat [00:36:22]: Yeah, infinite monkey.Swyx [00:36:24]: Yeah, so like the very good for model. and I think it's also very important that agents can spin up other agents, can spin up their infrastructure. Like very good for you. how good is our LLMs at generating model code? Like the benefit of existing LLMs is that you are in the data.Akshat [00:36:42]: Yeah. They're, they're surprisingly good. I think like pre Cloud 4 they were not, and then now they're able to shot, stuff out of the box. But we're playing around with releasing like a Modal Bench for like the harderSwyx [00:36:55]: YeahAkshat [00:36:55]: Things, that the LLMs cannot do yet and maybeSwyx [00:36:59]: What's an example of that?Akshat [00:37:01]: I think the things that- Sometimes agents struggle with, without right guidance and a skill is, how to, use the rest of our observability. Like how to. Something is failing, like how do you look at the logs and then update the right thing? It's reasoning about that. But they're able to shot, likeSwyx [00:37:23]: Yeah. You can just add a skill to it?Compute Strategy and Capacity PlanningAkshat [00:37:26]: Yeah. So we have a Modal skill now that. Which is why we built this Modal Bench. It's to find things like that, so we can address them in our tool.Swyx [00:37:35]: Tune a skill. Yeah.Akshat [00:37:36]: Yeah.Swyx [00:37:36]: No. it's it's good. are you facing any shortages? like we talk a lot about GPU shortages, but also CPU, also memory.Swyx [00:37:44]: Yeah.Akshat [00:37:45]: We have had a lot of growth, which means that, there's - we've had to be much better aboutSwyx [00:37:53]: PlanningAkshat [00:37:54]: Proactive capacity planning.Swyx [00:37:55]: Yeah.Akshat [00:37:55]: So we have,Swyx [00:37:57]: Which by the way, like it's like a MBA's like dreamAkshat [00:38:00]: YesSwyx [00:38:00]: Is like just planning this stuff. I think last time you and I talked about something maybe about this.Akshat [00:38:03]: Yeah. we have a really competent team of people that we call, The role is called compute strategy. so yeah, if anyone listening here or wants to work on thatSwyx [00:38:13]: Compute strategy?Akshat [00:38:13]: Yeah.Swyx [00:38:14]: I think,Akshat [00:38:14]: I feel like,Swyx [00:38:15]: I think the normies call it FP&A or something.Akshat [00:38:18]: Well, it's more It's it's not FP&A. It's it's There's a lot of interesting financial questions of like what is the blend between one year and three-year reservations? how do we forecast our own capacity? how do we. especially since our capacity is very fungible across different GPU types and different regions, like you have to model a lot of it. and you also have to have an opinion on how the supply chain is gonna evolve, and then you have to like, take bets,Swyx [00:38:49]: YeahAkshat [00:38:49]: Based on that.Swyx [00:38:50]: Tokenomics.Akshat [00:38:50]: Yeah.Swyx [00:38:51]: This is like probably a not a real point, but, I was trying to think about like what other industries. I was trying to think about like, we cannot be first to like these kinds of problems.Akshat [00:38:59]: Yeah.Swyx [00:39:00]: And what other industries have had this? And I was like, airlines with fuel and like they have to hedge their fuel and like, I think for a long time Southwest because they made like a hero fuel bet, they like were like super low cost becauseAkshat [00:39:12]: OhSwyx [00:39:12]: Compared to everyone else.Akshat [00:39:14]: Yeah. I hadn't thought about that.Vibhu [00:39:16]: We're at a fun time too?Akshat [00:39:18]: Yeah. It's. A lot of the compute business in general, for us is also about being very good about capacity management. That is how you have great unit, economics. but also over time it's how you can unlock more value for customers. Like, one of the things we're building now is like a way for customers to get, If they don't care about latency, like get much cheaper pricing and they'll get results back in like next 24 hours or something, like a batch tier essentially.Batch Tiers and Latency-Insensitive WorkloadsSwyx [00:39:47]: Yeah.Akshat [00:39:47]: And those are levers we have because we control the whole stack and scheduling and whatnot to give people a sufficientSwyx [00:39:53]: Yeah. I feel like they're not as popular. Like those, like the Frontier Labs have all those APIs. They're not as popular as they should be.Akshat [00:40:00]: The demand that we see for something like that is not for LLMs. although sometimes people wanna run evals andSwyx [00:40:08]: OkayAkshat [00:40:08]: Synthetic data prep and there it makes sense.Swyx [00:40:10]: Okay.Akshat [00:40:11]: But it's from a lot of LLM companies, like people who are doing computational bio, like they have to run really big batch jobs and they don't care about when they get it back.Swyx [00:40:22]: Yeah. And like they have a reasonable. It's it's also like a cousin to the stopping problem of like, will this finish in time?Akshat [00:40:30]: Yeah. You can bound it.Swyx [00:40:33]: Yeah.Akshat [00:40:33]: Like you can give peopleSwyx [00:40:34]: YeahAkshat [00:40:34]: SLAs on it.Swyx [00:40:35]: Yeah. I think what's, what's interesting is like the next phase of model.Swyx [00:40:38]: Like what, do people expect from you, now that you're established and you're like well-known compute player among all these leading companies. You had an inference launch week, and we talked a little bit about the launches. like what else? Like what else should people know?What Modal Builds NextAkshat [00:40:55]: We are building primitives that make our users' lives much easier. So, I think for example, with LLM inference, thousands more companies are gonna post-train their own models and, deploy open source models for inference. so we're thinking a lot about what is the best product shape for that. And, that involves everything from our training gym to, then, endpoints that get frontier-level performance. again, but I haven't talked to anyone. It looks somewhat different on other verticals. Like, we're also seeing a lot of real-time, audio-video stuff in there, which is why like, we're working on things like regional routing, with fallbacks. So you can get GPUs that are as close to users as possible. so you get like low latency for video streaming and whatnot. And then on the agent side, it's,Akshat [00:41:52]: We're still working very closely with our customers because stuff is changing so fast in terms of what they need. And, I think beyond sandboxes and persistent file systems, there's a lot of other things people will need from this agent stack as they build production agents. So yeah, we're thinking about those other things that fit in there.Swyx [00:42:13]: I want to ask what the other things are.Akshat [00:42:15]: Yeah. I probably should share right now.Swyx [00:42:17]: I think-- I think, okay, so, I do think a lot about the principal components of cloud, and you do talk about compute storage networking.Akshat [00:42:25]: Yeah.Swyx [00:42:25]: Because so far for me, it's fine. so far for the. the first couple generations of cloud, it's fine. What's different, qualitatively different about agents that you need some new permission level? Like a lot of people, okay, and I'll just kinda spew tokens at you until it like hopefully sparks something.Akshat [00:42:43]: Yeah.Swyx [00:42:44]: Like the new level now is whatever Claude Code does, which is dangerously scope permissions or like allow list by command or like whatever, right? And sometimes they're like, “Well, okay, we have like this adaptive thinking mode where like, just trust me, bro. I will make the calls for you.” Is that it? like mediated permissions.Hard Guardrails vs. LLM-Mediated PermissionsVibhu [00:43:03]: Now you're looping it with a goal and letting it roll.Akshat [00:43:06]: Yeah, I'm, I'm skeptical of LLM media permission for stuff that is at the sandbox level because you do want hard boundaries.Swyx [00:43:16]: Yeah.Akshat [00:43:16]: Otherwise, someone can exfiltrate stuff.Swyx [00:43:20]: But likeAkshat [00:43:20]: YeahSwyx [00:43:20]: Maybe that's old school thinking. Maybe we're the dinosaurs.Swyx [00:43:23]: Maybe the AI OS or the LLM OS is really the kernel is a goddamn LLM.Swyx [00:43:30]: Like it makes you feel uncomfortable.Akshat [00:43:31]: Yeah, I'm, I'm toldSwyx [00:43:32]: But that's what trusting the LLM is. Like imagine a spherical cow perfect LLM.Akshat [00:43:36]: Right.Swyx [00:43:37]: That it.Akshat [00:43:39]: Maybe.Swyx [00:43:41]: I wanna test the boundaries, right?Akshat [00:43:42]: Yeah.Swyx [00:43:42]: Like, and I don't believe that, but I wanna see where I'm wrong ‘cause that's, that's the consensus.Akshat [00:43:49]: Yeah. I think you always need hard guardrails when you want, And you can pair those with softer guardrails, right? And that's gonna be a lot of mediated.Managed Agents and Specialized SandboxesSwyx [00:44:00]: There. I'll also get you a end with a couple of your commentary on like the ecosystem outside of Modal. Manage agents. Everyone has one. Gemini, OpenAI, Claude, very useful for you, but also like it is their way of starting to edge into your space.Akshat [00:44:17]: Yeah.Swyx [00:44:17]: What's going on?Akshat [00:44:19]: Yeah, we're, very excited to partner with Anthropic and some of the other foundation labs, will not name who we're also working with. the way we see it is the manage agent thing is a great place to start if you're starting out building an agent and, But then when you get to, building something more production grade, like you're a company that's like Ramp that's building their own, Ramp also runs their accounting agent on us, so their external-facing agent. You need a lot more control over, your compute primitive on things like, what sort - how do you persist different files that the agent has access to, and how do you snapshot and restore? How do you control the networking? maybe you want GPUs. When you get to that point, you kinda want, a specialized sandbox provider, that gives you those things, and that's the role that we are trying to play.Swyx [00:45:15]: YeahAkshat [00:45:16]: We don't really have an opinion on the harness, whether it runs - it's a cloud-managed agent, and you hook it up to Model Sandbox, or you run the harness in Model Sandbox. We'll see where people converge with that.Swyx [00:45:26]: Yeah. Do you any opinions on like the meta harnesses, or just another layer on top of these things?Akshat [00:45:31]: You mean like the OpenPipeSwyx [00:45:33]: OpenPipe is one. I think Vercel had one, which I can't remember the name of right now. Fredshot had one. and then, to me, most recently was Data Databricks that had Omnigen. All these are meta harness. Like it's kinda pseudo agent cloud type things.Akshat [00:45:50]: I personally have not played around with them.Swyx [00:45:53]: Yeah.Akshat [00:45:53]: Build agents with them.Swyx [00:45:54]: Everything's bullish Modal, as long as it consumes more infra.Akshat [00:45:57]: That's why we're focusing on the infra layer. It's somewhere where our, relative competence is and, also it's a hard problem to solve.Swyx [00:46:06]: Yeah. I will say like just generally reflecting on that, I don't know if - if there's other topics on Modal, but like just generally reflecting as an infra person, not as intense as you, but in that field, this has like been the most exciting time in infra. Like it was boring for a while, and you couldn't really get people excited about data infrastructure. Like Eric would get on Data Console, everyone just watched the video and like say, “Look at how many sandboxes I can spin up,” and no one gave a crap.Why Infrastructure Became Exciting AgainAkshat [00:46:39]: Yeah.Swyx [00:46:40]: And like now everyone gives a crap.Akshat [00:46:42]: That's true. It is a very exciting time, and I think a lot of that's driven by just the amount of scale all of this stuff needs.Swyx [00:46:50]: I think the, like a lot of your initiatives or a lot of your like product directions make sense in retrospect, which is like the best kind, but I wouldn't necessarily have thought about it myself, which.Akshat [00:47:00]: We need the predictions.Swyx [00:47:02]: I think there's a lot that you just don't even see, right? Like you have the batch, you have the voice, you have the multimodal, but what else?Akshat [00:47:10]: What else is coming up for usSwyx [00:47:11]: Yeah. Where do you see things going?Akshat [00:47:13]: Yeah. I, in generalBiotech, Robotics, and Non-LLM AI WorkloadsAkshat [00:47:15]: It's it's clear that there's there's a huge shift happening. I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also we work a lot of companies that are, doing things like drug discovery and computational bio, like the Chai Discoveries of the world. Big things are probably gonna happen there. we work a lot of robotics companies that are putting robots in like active deployments and getting good results out of them.Swyx [00:47:45]: Is there Air Gap Modal? Is there a version that is like prem air gapped whatever?Akshat [00:47:50]: No. We,Swyx [00:47:51]: You should cloud only.Akshat [00:47:51]: Yeah.Swyx [00:47:52]: Yeah. Okay. But yeah, so what you're saying is like because you're focused on primitives and they're good primitives, you find use cases in all these kinds of things.Akshat [00:48:01]: Yeah.Swyx [00:48:01]: Probably diversifies you a little bit away from LMS all the time.Akshat [00:48:05]: Yeah, absolutely. We're, we'- our goal isn't to only serve the LLM inference market.Swyx [00:48:10]: There are a lot just on the website, the audio,Akshat [00:48:12]: Yeah. We said both onSwyx [00:48:14]: Computational bio images. Yeah, there's a lot here. There's QTA TTS, customizing. Oh, Chatterbox. there was customizing Whisper.Akshat [00:48:24]: Okay. Yeah.Swyx [00:48:25]: This screen reminds me of a fallen competitor, which Replicate.Model APIs vs. Differentiated AI ProductsSwyx [00:48:31]: What's your postmortem on what happened?Akshat [00:48:34]: This is one thing we've stayed away from is providing an API for models because I think providing model APIs is some of it ends up serving like a really hobbyist market, which is much less sticky.Swyx [00:48:50]: Yeah.Akshat [00:48:50]: And we've always wanted to build for companies that are building products and need more flexibility that's not just an API.Swyx [00:48:57]: Which you can build an API for a model and this is clearly what it is. But you - but what you're saying, you can wrap it into a more fully functioning back end that you run.Akshat [00:49:06]: Yeah. So all of our examples, it's not that spin up this model, here's an API token, use it. They're all code.Swyx [00:49:13]: Okay.Akshat [00:49:13]: And so the point is that this is just an example.Swyx [00:49:16]: Starter code.Akshat [00:49:17]: Yeah. But you can tweak it however you want.Swyx [00:49:20]: Yeah.Akshat [00:49:21]: And if you're like a company building a product, like, computational bio whatnot, yeah.Swyx [00:49:26]: I guess I'm trying to tease out for listenersAkshat [00:49:28]: YeahSwyx [00:49:28]: When does it stop becoming, oh, you're just an API call and you're just a wrapper on API to becoming what you call a product, right?Swyx [00:49:36]: Like, what is that layer? Like what-- Like, more lines of code, but like beyond that, what is the substance that people add that qualifies it to be something more?Akshat [00:49:46]: I think there's a little bit of like a selection effect of like a lot of the companies who do wanna get deeper into that level are probably building something that's more differentiated. And, I think, an example is like - with LLM inference, originally we, worked with companies that were building their own post-training frameworks or they were, - Ramp early in the day was training their own tokenizer and like swapping out the tokenizer in Llama and whatnot. I'm not saying that's, that successful, in that case. But a better example is like, let's say Suno. because Suno, does not use Modal for training.Swyx [00:50:26]: Mikey on the pod. Yeah.Akshat [00:50:27]: But they use Modal for all their inference and that's because they have like a custom-- They have completely custom model architecture and that means that they have to be at the code level and tweak things that are not, just an API.Swyx [00:50:41]: It's interesting as well, like we had, Ethan, most recently on the xAI Groq team make a prediction that like the next tier in video gen is not a better video model, it's a better model or agent that orchestrates video models.Video Agents and Production WorkflowsAkshat [00:50:56]: Oh, interesting.Vibhu [00:50:56]: Language model backbone that can use toolsAkshat [00:50:58]: RightVibhu [00:50:59]: And write code.Akshat [00:51:00]: Like, yes, I can make my second video or my second video from Groq, but I want my minute video.Akshat [00:51:06]: And I'm not going there through normal video gen.Swyx [00:51:10]: Yeah, that's interesting. I - So we have GPU sandboxes and recently have seen a few companies doing agents that do video manipulation or,Akshat [00:51:22]: Yeah. Give it FFmpeg and just do it.Swyx [00:51:23]: Run FFmpeg. But likeAkshat [00:51:25]: That's not enough.Swyx [00:51:25]: Yeah.Akshat [00:51:26]: You need to give it Adobe.Swyx [00:51:27]: Yeah, I hadn't put it together with like it would be a video production thing. in my mind these things were going more towards editingAkshat [00:51:36]: Yeah.Vibhu [00:51:36]: Well, shout out Mantis.Akshat [00:51:37]: I think about this a lot.Swyx [00:51:38]: .Akshat [00:51:41]: Yeah. Sorry.Vibhu [00:51:41]: Luma. Luma Agent is a version of this for video production, but it's a off.Swyx [00:51:46]: I was gonna get your quick takes, on some other stuff that happensGitpod/Ona, CI, and Runtime SandboxesSwyx [00:51:50]: In recent news and just-just see if you have anything interesting. Gitpod, very li

Degens Andy S and Brandon Bombay make your wishes come true and tackle the horror box office phenomenon, 'Obsession.' Bombay breaks the ice by mentioning how the film gave him flashbacks to the most chaotic and unhinged first date he ever went on.Then the fellas head to the music store to discuss a movie that has been described as 'Tales From the Crypt' for Zoomers, and why that rocks. Of course Inde Navarrette's powerhouse performance as Nikki deserves all the accolades. She not only sells the physical horror of this monkey's paw fable, but delivers subtleties that capture how devoted love can truly devolve into a mental illness. Unfortunately, she is paired with the milquetoast Bear, whose faux-fake guy persona — and lack of any defining personality traits — make him beyond unbearable. While Curry Barker's runaway smash hit may not reinvent the genre, it does treat both mainstream audiences, and horror sickos alike, to a bonkers third act that is all wrapped together with a feel-bad ending. Similar to the end credits, this episode will leave you audibly sobbing (with laughter, not tears). 

這是重點複習版，完整單集 (40 分鐘+) 在這裡

“Questions, concerns, queries?” Lets chat!Its all about the LONG GAME! Jack, Lynne and Matt McFarland dive into the trees and shrubs that bloom for an INSANELY long time on this week's episode of The Growing Season.How long is long for a tree to bloom?   You'd be surprised to learn. Matt discusses how his students LOVE derailing him during lectures.  They love to rev him up and watch him go. "There are more flowers than there are blades of grass" on the McFarland's property.  Mugho Pines, Emerald Gaety Euonymus and everything 1980's comes into the fore. Rank these trees from 1 - 3: Royalty Crabapple, Crimson King Maple, Obelisk Beech.  Lynne takes the challenge. Define an "annual..." Matt tries. Are Ivory Silk Lilac's long bloomers?   The trio debate.   What defines a "long bloomer" in a tree? Weigela, weigela, weigela.... OHHHHH BABY!What is a Century Plant?  How about a Corpse Plant? Greybeard returns...Temperature can effect the amount of time a tree blooms.Matt tells a story about some lovely flowering dogwood trees and the shock and awe of a specific variety. "Is the juice worth the squeeze?"Lets hang out in the rose department for a little while.  Some are Oso Easy!Speaking of the 1980's - Potentilla is a classic that still pops. Why doesn't The Growing Season use Butterfly Bush? Hydrangeas cap the show off in style. Tune in. Looking to book a consult for your property?  We'd love to help.  CLICK HERE.

Play an A-Tier right in our backyard! https://www.discgolfscene.com/tournament/The_Appalachia_Open_DGMT_2026 Hunter and Trevor break down the Swedish Open and keep you up to date! Subscribe ► https://youtube.com/@GripLocked?sub_confirmation=1 Check out the Store: http://foundationdiscs.com Patreon: http://patreon.com/foundationdiscgolf Foundation Disc Golf: http://youtube.com/foundationdiscgolf Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

When does a fast, aggressive cut (rapid fat loss) beat a long, slow one?The answer depends on your body fat, your training, your timeline, your history with dieting, and whether you are perimenopausal or over 40.This episode revisits rapid fat loss and the case for a strict, short diet when the slow-and-sustainable default doesn't work as well for you (or simply because you want to use it). Make sure to download my FREE Rapid Fat Loss guide to follow along with the episode.We examine the research on how to lose fat quickly without losing muscle, including studies on rate of loss, protein during a steep deficit, and protein needs for people lifting weights. Learn what a structured protein-sparing protocol with built-in refeeds actually involves, why strength training and protein are so important for preserving your muscle (and thus losing fat), where metabolic adaptation fits in, and the clear line between a smart aggressive cut and a crash diet.This episode is designed for adults over 40 who lift, track their food, and want to know whether they are the exception to the "slow" fat loss rule.Download the free Rapid Fat Loss Guide with my step-by-step 14-day protocol. This is an aggressive dieting plan for serious lifters only who know how to build muscle and track their food. It includes everything you need to know to lose, on average, 3-5 lbs (or more) of pure fat in just 2 weeks:https://witsandweights.com/freeTimestamps:0:00 - Slow fat loss and the adherence problem 4:57 - The case for moderate fat loss 8:05 - When going slow stops working 10:46 - What a structured aggressive cut looks like 12:38 - Protein and carbs as muscle insurance 15:47 - Scheduled refeeds and how they work 18:05 - Strength training during a cut 19:16 - Water loss, fat loss, and using it as a tool 20:30 - Step-by-step rapid fat loss guide 21:54 - Preserving muscle on a steep deficit 26:12 - Refeeds, diet breaks, and metabolic adaptation 28:33 - Who an aggressive cut is for (and NOT for) 32:25 - Considerations in perimenopause and over 40 34:12 - Bonus: Deficit to make your fat loss easierMentioned:Eat More Lift Heavy - the 26-week coached program where adults over 40 build the nutrition and training skills to preserve muscle, lose fat, and manage their physique for life, where we can guide you through any fat loss phase (rapid or not) and make sure the results LAST

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Listen to all my reddit storytime episodes in the background in this easy playlist: https://www.youtube.com/playlist?list=PL_wX8l9EBnOM303JyilY8TTSrLz2e2kRGThis is the Redditor podcast! Here you will find all of Redditor's best Reddit stories from his YouTube channel. Hosted on Acast. See acast.com/privacy for more information.

Predicting starting lineups for our favorite teams! Offseason hot takes, round 1! Nonsensically too early Final Four picks! The Sleepers Podcast is now available daily with new episodes every Monday-Friday! The College Basketball stock market is LIVE on Stakeholder! Buy low or sell high on teams as they lose and add players in the portal! Join using our link for an instant $15 bonus: https://stak3holder.com/join/sleepersmedia Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most people think getting rich requires something special. Maybe it's a brilliant invention, a wealthy family, or years of working yourself into the ground. That's why so many people spend their lives chasing the next opportunity while wondering why success never seems to arrive.But what if wealth is much simpler than that?What if the biggest difference between people who struggle and people who thrive comes down to a handful of habits that almost anyone can learn?The truth is that successful entrepreneurs are often not doing more things than everyone else. They are simply focused on the right things. While others get distracted by busy work, they spend their time on activities that directly create income, build value, and generate long-term freedom.And it all starts with one simple principle.Useful Episode ResourcesFREE list of the top 10 books to improve your email marketingIf you want to write better emails, come up with better content, and move your readers to click and buy, here's how. We put together this list of our Top 10 most highly recommended books that will improve all areas of your email marketing (including some underground treasures that we happened upon, which have been game-changing for us). Grab your FREE list here.Join our FREE Facebook groupIf you want to chat about how you can maximise the value of your email list and make more money from every subscriber, we can help! We know your business is different, so come and hang out in our FREE Facebook group, the Email Marketing Show Community for Course Creators and Coaches. We share a lot of training and resources, and you can talk about what you're up to.Try ResponseSuite for $1This week's episode is sponsored by ResponseSuite.com, the survey quiz and application form tool that we created specifically for small businesses like you to integrate with your marketing systems to segment your subscribers and make more sales. Try it out for 14 days for just $1.Join The Email Hero BlueprintWant more? Let's say you're a course creator, membership site owner, coach, author, or expert and want to learn about the ethical psychology-based email marketing that turns 60-80% more of your newsletter subscribers into customers (within 60 days). If that's you, then The Email Hero Blueprint is for you.This is hands down the most predictable, plug-and-play way to double your earnings per email subscriber. It allows you to generate a consistent sales flow without launching another product, service, or offer. Best news yet? You won't have to rely on copywriting, slimy persuasion, NLP, or ‘better' subject lines.Subscribe and review The Email Marketing Show podcastThanks so much for tuning into the podcast! If you enjoyed this episode (all about the psychology of marketing and the 9 things we use in all our email campaigns) and love the show, we'd really appreciate you subscribing and leaving us a review of the show on your favourite podcast player.Not only does it let us know you're out there listening, but your feedback helps us to keep creating the most useful episodes so more awesome people like you can discover the podcast.And please do tell us! If you don't spend time on email marketing, what do you really fill your working days with? We'd love to know!

Australian winemakers want to use surplus wine as fuel, 25-year-old woman went on TikTok to share her experience of going to a car dealership because her 'ac was not working', The trailer for the Eli Roth horror movie 'Ice Cream Man' is INSANELY gory and violent

Australian winemakers want to use surplus wine as fuel, 25-year-old woman went on TikTok to share her experience of going to a car dealership because her 'ac was not working', The trailer for the Eli Roth horror movie 'Ice Cream Man' is INSANELY gory and violentSee omnystudio.com/listener for privacy information.

Episode 2 of 4 for our short foray into the Wild Blue! Lady Blackbird and her INSANELY hot man-boys make their way through the Hand of Sorrow toward their beloved sauna on the OwlGM - Chris T; Cyrus - Lena; Kale - Andrew; Natasha - Morgan; Snargle - DannyFeaturing music by Pressure Highway, Jordan Fickel,  Danny Deluca and Motoshi Kosako

Today on the Logan Blackman Show we provide a short little preview for the upcoming FIFA World Cup, going over all the favorites while also discussing why tournament expansion may not be the best idea. We then take that discussion to college football, as the committee is thinking of expanding the Playoffs from 12 teams to 24. With 100 days until the start of the college football season we take a look at the landscape of quarterbacks across the country while giving our opinions regarding the Brendan Sorsby situation, and how it relates to the state of Iowa. Finally we reveal some insanely early college football predictions and some more quick fire thoughts on the aforementioned World Cup. Enjoy!

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Michael Clark. We dive into the incredible story behind The Flower Letters, a subscription business started with his wife, Hanny Clark, that mails immersive, physical story letters to subscribers. What started as a small idea in April 2020 with World War II love letters has exploded into a multi-million dollar venture, projecting $8-10 million this year! Michael shares how they bootstrapped this unique concept, scaling to over 50,000 subscribers by focusing on daily profitability and smart advertising strategies, leveraging a prepaid option for cash flow. You'll hear why he considers this direct mail business, despite his FinTech background, the most complicated he's ever built, managing over 900 inventory pieces in-house. We also discuss their "long game" vision, transforming The Flower Letters into a mission-driven company with potential for TV shows, audiobooks, and more, while carefully integrating AI only for artistic elements. Questions This Episode Answers:How did The Flower Letters grow from 33 subscribers to over 50,000 with multi-million dollar revenue?What advertising strategy was key to their rapid customer acquisition and how did they manage a $30 CAC?How does a subscription business like The Flower Letters prioritize daily profitability and manage cash flow through prepaid options?Why is a seemingly simple direct mail business considered the "most complicated" venture by a FinTech entrepreneur, and how is its fulfillment handled?How do The Flower Letters leverage a "long game" strategy to build a mission-driven company with a growing catalog of stories and future content expansion?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Rapid Growth and Business Model Overview03:02 The Origin Story: From Idea to Execution05:53 Marketing Strategies and Customer Acquisition08:46 Financial Insights and Business Economics12:06 Creating a Unique Customer Experience14:58 Operational Challenges and Fulfillment Process25:07 In-House Fulfillment and Customer Service27:58 The Importance of Storytelling in Business30:21 Creative Storytelling and the Role of AI36:38 Revenue Growth and Business Strategy38:59 Building a Sustainable Business Model42:47 Leveraging the Postal Service for Success44:45 Community Engagement and Pen Pal Ideas46:43 Launching a Podcast and Sharing Stories

Black on Black Cinema examines Black Belt Jones (1974), the groundbreaking Blaxploitation martial arts film that solidified Jim Kelly as an action star following his breakout role in Enter the Dragon. Directed by Oscar Williams and produced by Warner Bros during the height of the Blaxploitation era, the film stars Kelly as a martial arts instructor who battles the mob to protect his community's karate school from a crooked land deal. Co-starring Gloria Hendry as Sydney, Scatman Crothers as Pop Byrd, and featuring incredible fight choreography that showcased Kelly's karate championship skills, Black Belt Jones became a cult classic that merged kung fu cinema with Black urban action. We break down the film's cultural significance as one of the first major films to center a Black martial arts hero, analyze its approach to representing Black power and community resistance, discuss the chemistry between Kelly and Hendry, examine the fight sequences, and explore how the film fits into both Blaxploitation and martial arts cinema history. Plus: the film's influence on Black action cinema, Jim Kelly's career trajectory, and why Black Belt Jones remains essential viewing for understanding 1970s Black representation in Hollywood genre filmmaking.Black on Black Cinema is a long-running podcast featuring in-depth Black movie reviews and frank conversations that matter to the Black community. We review Black films across every genre — from Black horror and Black sci-fi to indie dramas, comedies, and blockbuster action. Covering filmmakers like Spike Lee, Jordan Peele, Ryan Coogler, Ava DuVernay, and more. Hosted by Jay, Micah, Terrence, and T'ara. Featured on RogerEbert.com. A TNP Studios production. New episodes weekly on Spotify, Apple Podcasts, YouTube, and all major platforms. For more TNP Studios content, check out The Nerdpocalypse (movie & TV news), Look Forward (progressive politics), and Dense Pixels (video game news).

Send us a Question!TV-SHOW DISCUSSION: Dreadful Digest: Podcast // Instagram // YouTubeTessa & Sam of the Dreadful Digest podcast join Melvin to discuss IT: Welcome to Derry, the spin-off prequel series to Andy Muschietti's IT duology! How does the show balance its original and familiar material? Is it scarier than the movies? What's the pulse on Bill Skarsgård's interpretation of Pennywise? Tune in to this INSANELY dense episode and find out! Topics:Editor's Note: No Patreon Exclusive discussion! But, I do intend to trim this episode down from its original 1:57:10 length, so if you want to hear the UNCUT version, tune in on Patreon here!Tessa & Sam explore what's at the heart of their show, if a movie has ever been better than its book, and if there are any in-name-only adaptations that are still good.Sam, "This actually is extremely faithful to the book..."Tessa is glad she stuck with the show despite episode 3, and the gang talks about why episode 3 is so uniquely bad.Melvin liked the show but wishes the whole season carried the tone and attitude of the first episode.Finally, a good prequel series to a popular story.Nobody can talk about It: Welcome to Derry Season 1 without talking about Stranger Things Season 5.Praising Chris Chalk for his performance as Dick Hallorann.Overcoming fear and trauma through companionship.Thinking about future seasons.Talking the ending and all the new Pennywise lore stuff.Recommendations:Castle Rock (2018-2019) (Series)Something Very Bad is Going to Happen (2026) (Series)Read the original source material of a movie you love! Support the showSupport on Patreon for Unique Perks! Early access to uncut episodes Vote on a movie/show we review One-time reward of two Cinematic Doctrine Stickers & PinsSocial Links: ThreadsWebsiteInstagramLetterboxdFacebook Group 

This is a clip from The Blaire White Project. Blaire reacts to Polyamorous TikToks and it gets crazy! Learn more about your ad choices. Visit megaphone.fm/adchoices

What if your life suddenly turned into a game… and the only objective was don't die?Today, I'm diving into Don't Die Dave by A. R. Witham — a chaotic, hilarious, and surprisingly heartfelt LitRPG that completely caught me off guard.I went into this thinking I'd check out an ARC and see what it had to offer……and instead, I burned through it swiftly — and had an absolute blast doing it.In this review, I'll break down:• Why this audiobook is one of the BEST-produced indie audio experiences I've heard• What makes Dave and his penguin sidekick Pepper such a fantastic duo• How this compares to Dungeon Crawler Carl (yes… we're going there)• Who this book is PERFECT for… and who might want to passIf you love LitRPG, underdog stories, ridiculous humor, and a little bit of meta video game chaos — this one might be right up your alley.And seriously…

On this episode of the Gaming And Collecting Podcast Bill and Alex take some time to discuss the odd phenomenon of anime shipping and all the chaos that surrounds it!Follow the Gaming And Collecting Podcast on all of our socials, easily found here: https://linktr.ee/ThebarberwhogamesIntro Music By Gerry At: https://soundcloud.com/greymatteraudioProud member of https://superpodnetwork.com/

Pivot just launched their new Avinox M2S powered Shuttle AMP'd, so today Pivot founder Chris Cocalis talks us through the development process, the decision to spec the controversial high-powered Avinox drive system, early prototypes, and the challenges of implementing a motor with that much power. He also gets into why he loves XC bikes, his thoughts on 32” wheels, and who he thinks is going to win the Supercross title, Eli Tomac, Ken Roczen, Hunter Lawrence, or?Note: We Want to Hear From You!Please let us know if there's a topic you'd like us to cover or a guest you'd like us to have on Bikes and Big Ideas. Email us at info@blisterreview.com to weigh in.RELATED LINKS:Blister Mountain Bike Buyer's GuideBLISTER+ Get Yourself CoveredTOPICS & TIMES:New Shuttle AMP'd (1:58)Why Avinox? (2:13)Motor Swaps & Early Prototyping (5:52)Adding Some Beef to the Chassis (8:57)New Shuttle LT (28:59)New Mach 4 SL (32:45)Chris' Take on 32” Wheels (42:11)Who's Going to Win Supercross (48:42)CHECK OUT OUR OTHER PODCASTS:Blister CinematicGEAR:30Blister PodcastCRAFTED Hosted on Acast. See acast.com/privacy for more information.

Re-releasing a DAT listener favorite! Morgan Hamon, president of HDA Accounting Group, is on the pod! HDA is a dental-specific accounting group, and knows dentistry inside and out. Kiera and Morgan discuss profit margins, benchmarks, and AR aging, plus why having good financials will help you make smarter decisions. A profitable practice is more helpful for patients, more secure for team members, and less stressed out in times of uncertainty. Don't run your practice blind; get a good CPA. About Morgan:  Morgan is a graduate of the University of Arizona school of business. Following graduation, he was commissioned as an officer in the United States Navy and served for over ten years as a Naval Aviator flying carrier-based F/A-18 Hornets. During that time, he deployed to Persian Gulf and flew combat missions over Iraq in support of Operation Southern Watch. He also served as a flight instructor and landing signal officer for newly winged Naval Aviators transitioning to the Hornet, training pilots in air-to-air combat and landing on aircraft carriers. After leaving the Navy, Morgan obtained a master's degree in accounting with a concentration in taxation from Metropolitan State University of Denver.  He is a Certified Public Accountant (CPA) and is the co-founder and President of HDA Accounting Group leading a large staff of professional accountants delivering a variety of financial accounting and tax services.   Morgan regularly conducts practice profitability advising for over 500 dentists nationally, helping them analyze their financial data and identifying strategies for profit improvement. Episode resources: Subscribe to The Dental A-Team podcast Schedule a Practice Assessment Leave us a review Transcript: Kiera Dent (00:00) Hello, Dental A Team listeners. This is Kiera. And today we are bringing you something so special. I am so excited because this is one of our most popular episodes from the archives. Whether you're hearing this for the first time or catching it again, I am so excited because it's jam packed with a ton of takeaways that you can start using right now in your practice. We have released thousands, literally thousands of episodes. And I wanted to start bringing a few of these amazing episodes back for you. So I hope you enjoy. And as always, thanks for listening and I'll catch you next time.   on the Dental A Team podcast.   speaker-0 (00:33) Dental A Team listeners. This is Kiera and you guys, I am so excited. It's always fun when I'm getting ready to start a podcast and the person on the other side of it is somebody that I have just idolized. I refer to their company all the time and then I'm like, oh my gosh, it's you. And that was what just happened with this guest. Today I'm bringing you guys Morgan Hamon He is the president of the HDA accounting group. So you guys know we have a lot of accounting groups that we work with at the Dental A Team. I'm really pro vetting them.   and finding out one of things I love about HDA is they literally have incredible forms for profitability of a practice. Also, watching all your different overhead and you guys know we're super, super pro. But something really fun about Morgan before we bring him on is that he is a graduate of the University of Arizona School of Business. So after that, he actually was commissioned as an officer in the United States Navy and served for over 10 years as a naval aviator flying carrier-based F-18 Hornets. So I'm dying to find out about that.   because he was deployed to the Persian Gulf and flew combat mission over Iraq in support of Operation Southern Watch. Insanely cool stuff. So not only are you a CPA and sometimes CPAs can be boring people. So the fact that you did this and I say that with love to all my CPAs, I was almost fired from a CPA firm once upon a time because I talk too much. So I'm super jazzed. So Morgan, welcome to the show today. How are you?   speaker-1 (01:51) Thanks, I'm doing well. Appreciate being here.   speaker-0 (01:53) Ha   ha, awesome, okay, so I brought you in. You are with HDA CPA, which is amazing. We have a client in Hawaii right now looking to work with you guys. Several of our clients work with you. you guys, I, Bailey, those are my top two CPAs, Profi, top three that I usually refer. So I'm super jazzed to have you on the podcast. But before we dive into like CPA stuff, which I'm always excited about because I feel as a business owner, that was where I was the most weak. And so I'm excited for you to share some tips and ideas. But tell us about flying.   being, you know, flying hornets, like just kind of give us a quick like one or two stories because I'm dying to hear about that.   speaker-1 (02:30) Sure. Yeah. So I like my family is all CPAs. My dad's a CPA brother, cousins. And I, that wasn't what I wanted to do growing up. You know, I wanted to be a fighter pilot. So I went off to college, Navy paid for it, which is a super deal. And then I, then I owed them some time after that, of course. off the flight school, um, did an operational tour.   and F-18s as a West Coast guy. And that's where we went over to Persian Gulf, over Iraq and all that. And ⁓ after that, I was an instructor pilot on the F-18. So that was definitely my favorite part of my service was teaching the young pilots how to actually use the F-18 as a weapon system and landed on the carrier, which was ⁓ probably obviously my favorite part of naval aviation.   pretty exhilarating. Could be incredibly stressful too, especially at nighttime. And I think there's definitely a few stories where I was just absolutely terrified because the weather was terrible. ⁓ There's nowhere else to land. The ship's rocking around and you literally have to figure it out or you're not gonna see the next day. And it's all gonna be happening in seven minutes. It's very...   So it really, grows you up really fast. And I think, you know, after close to 11 years, my wife and I were ready for, you know, a little more normalcy in our life. moved off to private industry. My wife's ⁓ a nurse. She's been in healthcare for 25 years. ⁓ But in terms like the, like what the Navy did for me and how I apply that to business is you,   learn to assimilate a lot of data, complex data, and hash out what you really need to know so you can execute in a very timely manner. there's a lot of noise. You learn how to disregard that and boil it down to some key action items that'll get you through the mission. And that's how I approach business ownership myself.   And I am definitely not the typical CPA. My value is not that I can no account, like I'm the best accountant in the world, not far from it. But I do know how to run a business and systemize. being a business leader is a completely separate skillset from being a clinician. And I see that, I get it. And the reports...   that you mentioned is those full color dashboard style reports that practice profitability analysis. That is straight from my Navy background. It just serve up what you need to know. Here it is. Here's the checklist, so to speak, so that you can make it happen. that's a bit of my background and where I came from. I co-founded HDA accounting group with my dad, in 2009. So we were the two owners for a long time. And then   for your listeners out there that perhaps use us, they'll know Courtney for sure. She's our tax partner. We made her a partner just over three years ago, which was probably one of the best decisions we ever made. She's wonderful. The clients love her. So there's three owners on one of them. And I spend the bulk of my time meeting new doctors, doing like what we're doing right now, and then spending time with our clients, trying to help them make money, make more money.   speaker-0 (06:10) For sure. That's fun. love that you shared. mean, thinking about trying to fly and land a plane, one that would be hard and then try to put it on a moving target and wish you luck. And if you don't make it, you're dead. And so just the, was like, wow, that's kind of like tax deadline, right? Like you're like so stressed and advanced to get there.   speaker-1 (06:29) It puts stress in perspective. Your hardest day in accounting, death is not on the table.   speaker-0 (06:31) I bet it does.   So   this might not be something you want to talk about so we can always cut this part of the podcast if need be Like were you ever really in combat or did you get a primarily be away from that? So thank you for your service. I'm just always curious. Like how was that?   speaker-1 (06:48) It was limited exposure. So back then when I was there, it was still operation Southern watch. So it was not full blown conflict. However, ⁓ they did not want us there. They would shoot at you. ⁓ they were scared to turn on their radars. So they would not typically engage with missiles, the more deadly type of anti-aircraft threat that we would face. They're too scared to turn them on because we would have ⁓   countermeasures to do with that. they would just, they would shoot like artillery at us. And so you would just, you could like barely see, you knew it was there and it was sort of concerning because you're a couple hundred miles in Tyrak. Like if anything happens, you're not going to receive a warm welcome, know, eject or something. So it was definitely had your attention. I remember that my first mission was at night. I was, you know, I had butterflies.   just because we're like all the almost all the way to Baghdad at night. You're on night vision goggles. It's a big strike package. Like the biggest thing I'd ever done before your aerial refueling over Kuwait, both inbound and outbound a lot going on. And, you know, while we're on this topic before these types of missions, you're in a brief for two to three hours ahead of time. There's a lot of moving parts, a lot of things you really need to know. But when you get in the jet,   you have a knee board card where you write stuff down, you have a strike packet, but you've got a very finite amount of time to put some notes. And that's where you get really good at cutting through the noise and putting down like this, no matter what, I need to know this. And that is how I approach the business. You know, with that report we prepare monthly, but also like when the COVID crisis went down last,   March. I think we all remember it very well. It was very scary and we didn't know what was going to happen. We're getting shut down. We got sent home. The dentist got completely shut down. So I, know, when, when you're stressed, one thing I learned in the Navy was you need to, to, they had a term for it, compartmentalization. You need to put that in a compartment and then   speaker-0 (08:53) Right.   speaker-1 (09:12) get out your compartment that is your training and what you know how to do. And you just got to focus on doing what needs to be done when it needs to be done. And so I started putting out content, I use constant contact to reach out to all our doctors and just giving them updates on the crisis saying, is all noise, concentrate on this, do this. Like PPP is coming on, this rapidly changing massive government program.   At the height of the crisis, I was putting those out maybe every third day. There were times when I was getting 40 to 50 emails an hour from clients. Yeah, everyone's like, what do I do? So I would hear from people, like my friends, they're like, oh, know, the COVID, you're getting like lots of house projects done. I said, no. I'm working 12 hours a   speaker-0 (09:55) I'm sure, because it was terrifying.   speaker-1 (10:11) I never worked harder. but that was, that was how I generated those newsletters was cut, through the noise, do these action items and then standby. so that was, I have a lot of very positive feedback on that. And I owe a lot of that just to my Navy experience, cause that's how we did things.   speaker-0 (10:31) That's such an interesting way Morgan of just kind of how you're combining your worlds. I mean, my undergrad was marriage and family therapy.   And then I now coach a bunch of dentists and I'm like, feel like half the time I'm talking to you about your personal life to help with your business.   speaker-1 (10:45) I'm sure that comes up.   speaker-0 (10:47) So I am curious though you talk about I love that you brought up the the examples and the conversation of That you had to just cut through and see the things that are the most important you have a two or three hour debriefing and you've really got to know your most important things because honestly Truly at that point in my opinion it is life and death and so I would imagine not that we're gonna have the same Comparison with a practice of life and death. Sometimes it can get that way. What do you feel are the most? important metrics or numbers or data   that a practice should be knowing you have all this accounting information, you work with hundreds of dentists. ⁓ Obviously I've got my opinions, but like this is where you're the expert on this. So tell me kind of what are the main key factors that if I could only watch so many items on my practice, what should I really be watching to make sure that I'm a successful practice?   speaker-1 (11:33) So first and foremost, the number that I think not every just practice owner, any business owner, what they need to know, I think at all times is what is their profit margin? And I hear stories from clients, you they're at Starbucks or whatever with their colleagues and they'll use someone else as an account firm and they'll ask their friend, what's your overhead on your practice? And they'll say, I don't know.   And they're horrifying. Like how could you not know what your overhead is? Totally. First and foremost, and just to clarify as a CPA, I think in terms of margin, sometimes dentists think in terms of overhead, we're kind of about the same number, you know, a 40 % margin, 60 % overhead. So you have to know your profit margin. And that's not just being greedy or just trying to count the dollars. If you think about a business, owning a business is difficult.   It's stressful. It's risky. All of our doctors signed a personal guarantee on probably a half million dollar note or thereabouts. If they bought the real estate, it could be a seven figure note. That's very stressful. if you're, and then you have employees, which is if we're going to talk current events and some frustrations, we could definitely talk about some staffing, but you have all these responsibilities and challenges and risks.   If the profit is not there, like why are you doing this? Why own a business if you do not receive the corresponding financial reward that should accompany taking that risk and taking on that workload? like profit margin hands down, you have to know that. Then you also, I think, need to know what's influencing profit margin. And that is the equation for profit margin, okay?   is total revenue, less expenses divided by total revenue. ⁓ So there's two sides of that, like revenue and expenses. So what impacts profit? Well, we can definitely look at the expense side. How much are we spending? Do we have any categories that are maybe, maybe we're overspending. So that's one thing to consider. other thing to consider is the revenue.   Are we collecting enough money? Totally. That can be influenced by your fee schedule. Inflation is real this year. to consider. But I think the bigger challenge specific to our industry, the private dental practices, is collections. If you do the production and that doesn't ultimately result in some timely collection, that is going to erode a profit margin very quickly.   So if profit is low, I I think people are predisposed to ask where my overspending totally what's preventing me from having that. And in my opinion, more often than not, it's because they're not collecting money. And we see that because like most CPA firms are pretty tax oriented. They want to do a tax return, maybe do some tax planning. The bookkeeping is sort of, as long as somebody does it and gives us a P and L we can, we can do, but that's not how we do. ⁓   certainly do tax planning and tax returns, but we have to have up-to-date data all year. And the intent of that is to, you if we have to have this data for taxes, why not use it along the way and make as much money as we can? So where I'm going with this is if you have a CPA who's fairly tax oriented, all of our clients and your clients, they have pass-through entities, whether that's an S-corp or partnership or sole proprietor. So they pay tax on their individual or joint personal tax return. That's done on a cash basis.   because of that, most CPAs, don't care about AR. Right. whatever's in dentrics or open dental, forget it. Like they don't care because it doesn't impact their world. Every month we ask for the total production collection. And I want to see what the AR aging looks like. Not that it has anything to do with, it'll never hit their books. It'll never hit their taxes, but it is on page one of our practice profit analysis because   If we're trying to diagnose a low profit margin, we have to know if the practices collected money and the AR aging is what's going to tell us. So that is it's profit margin. You got to know some expense benchmarks and you have to watch the AR aging. Those are the top three. ⁓   speaker-0 (16:03) Yep.   Mm-hmm. I totally agree and I love that you said that because ironically I just came back from a practice and they had multiple partners in there and I didn't feel like I was super savvy on business at all when I started I think most people who start businesses I didn't know what a KPI was I didn't know what overhead meant I didn't know and then I always was puzzled how I could be making quote-unquote so much money But I would never see any of this money and I think a lot of us get puzzled with that we say like well I'm running this much revenue   But why do I feel like I'm always broke or I don't have any money? I hear it constantly. And so I was just in a practice the other day because my first two years of business, I literally made less than a Starbucks barista and I was flying all the time. I would travel over 300 days a year. And I'm like, I'm fine to be a Starbucks barista. If I'm working half days, I'm home every day. I'm going to yoga every single day. Like I'm totally fine with that salary, but I'm working like 90 to a hundred hours a week. Plus I'm traveling. I'm destroying my body.   Like where is this money going? It doesn't make any sense. And so that's where I really got fascinated with overhead and really learning more about the business. But I was just at a practice, they have five partners and I asked all of them, said, what's your overhead? And none of them could tell me. And then they told me they're only checking their margins and their profitability about once a year. And I said, what? Like that is where I feel. And so was interesting because we were hired to come help their team and to help all these different pieces. And I thought, you know,   That's really interesting because they're having a hard time making decisions and agreeing because they don't have the dashboard of information that they need to have. And that's what I feel your KPIs, your overhead, having really, really good financials of a practice help you make smarter decisions. And that's what I'm about of we can make decisions all day long, but why fly blind? Like for you, like, let's go back to flying planes. You can fly a plane blind. You absolutely could. You're probably not going to get great results with it, but you could do it.   speaker-1 (18:09) be   a short, short duration.   speaker-0 (18:11) Right, which I also think is very equivalent to running a practice blind is it can be a very short duration and so watching those numbers I also think it gives you less stress as an owner It helps you be a better boss because you know, can I give this person a raise? Can we hire another person? Also, are we collecting the money doctors? Like if you're producing you should be collecting money for what you're doing I would hate to go do a job Morgan I'm sure you're the same way go do a job where I do the work, but I don't get paid to do the work that just feels   Insanity to me and so I love that you guys as a CPA firm Make sure that your practices know these numbers It's right in the line with what we do all of our clients have to know their numbers and if they don't know their numbers They're going to learn them very quickly because me as a consultant me as a coach I'm flying blind if I don't know what dials to turn you're constantly turning levers hoping to fix the problem But not ever addressing the problem at core   speaker-1 (19:02) I totally agree. And every time I have a visit with one of our doctors and I don't hold myself out there as a coach. But anytime we go over the practice profitability analysis, sometimes they'll sort of head that direction a little bit. ⁓ And because the answer, sometimes they can see the numbers, but they don't necessarily know how to tie it together. And so I try to have...   break it down into one or two action items. Because it is a dental practice owner, they really have finite time to work on their practice. They have their time as a clinician, time as the business leader, time as, should carve out some time to be the CEO. But there's finite time. So if we're gonna dedicate some of that valuable time to improve profit, I think they need to be given.   one or two key action items, use that valuable time on this, because it'll make a difference. sure. So that's, again, another added benefit of having some data is you can, I think, be more effective in your limited time.   speaker-0 (20:12) Agreed. And I will say that I love this because, I was like two years into being an owner before I even knew I should be looking at these things. Also, as an office manager, I did not know I should be looking at these items and that I could directly impact them as a team member. I didn't realize as a team member, I could be impacting overhead and that I could help with profitability of the practice because I will promise you, team members, a profitable practice does more things for their teams. They're able to help more patients and they're able to be more secure with their employees.   Those offices who are highly profitable were not stressing as much through COVID. Their teams were more secure. The offices who were not profitable, they were in hot water, they were scared, they were closing down doors, they were making very rash decisions. And so I think it just helps you keep, like you said, a more level head. So I think it's a big important step of number one, making sure you have a really good CPA and you can outgrow your CPAs. I talked to a lot of clients and sometimes they outgrow their CPA, maybe their friend, their neighbor.   Like guys, that's who I had. had a neighbor friend who was helping me at the beginning and I outgrew that CPA. They didn't know how to run a multi-level business with lots of different factors that I was bringing in. They'd never had a consulting client. And so making sure you work with a CPA who knows your world ⁓ is one of the biggest things that I would suggest. And it's hard because sometimes we go to church with them or we see them at the little league game. But I'm really big on if my CPA is going to give me my guide for my business.   I think it is my moral responsibility to make sure I have a CPA that I can trust, that gives me the correct information in a timely manner, and that way I can actually steer my business in the correct way versus just guessing all the time. So I don't think it's ever too late to get a really good CPA and to use that. And that's something I love about HDA. You guys have some of the most gorgeous reports. The reason I found out about you guys as a company is because one of my offices came to me with all the reports when I was asking these.   the items of how's your AR, how's your overhead? And they're like, actually, this is what my CPA gives me. And I was like, who is this company? And I literally like, I ripped your name off the top of their report and stuck it in my planner, like my little notebook that I had from the office. And I'm like, I need to look into this company. So that's how I actually found out about you guys. So I will say your reports are stunning. So Morgan, if people want to just even talk to you guys to see if you're a good fit for them, they're wanting to know more about their business, making sure they know how profitable they are.   How's the best way for them to connect with you? What do you guys do for Dennis?   speaker-1 (22:33) So I visit with all the dentists, you know, if they're looking to make a change, I'll do those personally. And they could either email me or on our website, there's like multiple places where they can set an initial consultation. I am a firm believer. So myself, my leadership team, all our calendars are public on our website. So there is no gatekeeper. If somebody has a question and wants to run it by me, for example, you know, once they're a client, they can email me.   very serious about email response, like same day. ⁓ Sometimes you need to talk those. Sometimes an email doesn't do it. So we have these 10 minute, 10, 20 minute appointment blocks that anybody can set anytime something's on their mind. So you can also do that with the initial consultation. Those come to me and I do those. So my email, it's just, it's easy. It's Morgan at Morgan@HDAGroupDental.com   speaker-0 (23:29) I'm   sure you guys got that that's H is in house D is in dental A is in Academy HDA So that way it's really clear of this company's name   speaker-1 (23:37) HDAGroupDental.com. That's also our website. So yeah, they could email me, jump on there, make an appointment. I can visit with them. What we specialize in, and this goes along with the discussion you just had on knowing your business, we're very disciplined in staying in a very narrow niche. Because I get asked all the time, why don't you, are you going to do a veterinarian and these other verticals? And the answer is absolutely not.   We know dental practices inside and out. And when you're looking through the soda straw, so to speak, in a very particular niche, we have deep knowledge just in this one industry. it puts us in a position to really be able to help our clients very quickly and very meaningfully. I can't imagine.   being a CPA in public practice where you just sort of have one of everything. I just can't think of a worse existence. So we're very disciplined and staying in our lane. It is private dental practice owners, those owner operator practices that that's who we support. And we have clients just about every state, know, and so we're real adept at working remote. Cool. And staying in touch and making sure that the clients know we're responsive to what's on their mind.   they need.   speaker-0 (24:57) That's amazing.   really love that. And just to clarify, guys, I did not know accounting world. I still don't feel like I do. So Morgan, correct me if I'm wrong, but there's bookkeeping, which kind of reconciles your books. Then there's your CPA who does like tax filing for you. They also make sure that you're within like you guys have it in the correct categories. And then you have your tax planning, which is a completely different world. And then you can also have a financial advisor as far as investments.   your 401ks, your trusts, your funds, all of that. Is that correct? Like, have I gotten?   speaker-1 (25:27) Yeah,   no, you've got it just right. it's actually a really good thing to discuss. And I talk about it on every time I meet a doctor, the first time I try to explain this very carefully. Because one question I'll get is, all right, it's whether it's our firm or anyone else. The question I will get is, so if HDA, if I decide that's a good fit and I come with you guys, who's my person? Yep.   And the answer is there is not one person you actually get three because one person can't do it all. So it starts just like you said, the bookkeeping, sometimes that gets called accounting too. It's really referring to the same thing. It is tracking all the dollars, doing all the reconciliations, preparing financial statements. But that is done. Every one of our clients gets assigned a staff account.   and we like to have a lot of permanence there as much as we can. So they just get to know the practice inside and out. We know where they're buying everything. ⁓ And so the coding's all very accurate and the clients get to know the staff account, but that's all gonna be transactional related. They're gonna do the reconciliations, prepare the work papers, assemble the practice profit analysis and deliver it. When the client has questions, like you mentioned earlier, why do I feel like I'm working myself to death and the bank balance is flat?   That is not going to be a question for the staff account. That's with me or Lauren Dunn, also a CPA, former auditor, really excellent account, better account than me. She's a fabulous account. So she and I do the practice profitability analysis calls and talk about the financials. Then as you pointed out, when it comes to tax, totally separate skillset. And at our firm, that's led by Courtney, our tax partner, our team of senior tax advisors.   And that they do both the tax returns and the tax planning. So those two are very separate, but they're done by the same folks because it requires that skillset. So the tax planning is absolutely the most challenging thing we do because as you know, revenue and expenses change every month. ⁓ It's a very equipment heavy industry. So somebody finally pulls the trigger on that Sarek machine they've been thinking about in November.   speaker-0 (27:35) Yep.   speaker-1 (27:45) That can change things overnight in a hurry. So we look at everybody's tax situation quarterly. And in quarter one, we don't really know what's going to happen during the year. If I could pick accurately choose every peak and valley. A lot of money. a client's revenue curve, I wouldn't be a CPA. I would day trade.   speaker-0 (28:03) On a-   I would too.   speaker-1 (28:11) But what we can do is just take a look, a reasonable look, how's the practice doing at this point? And what is a reasonable estimate that we could make to keep people on track, avoid those under deposit penalties. So that's quarter one and quarter two. Quarter three, which we're just wrapping up now, and then quarter four, that is where we have much more hard data, where we can do some more accurate forecasting.   to see where we are and then just make sure we're checking the box on all those tax strategies. We don't want to leave any money on the table unnecessarily, but we want to make sure everybody's prepared. So we're having those discussions now. We're letting people know now what we think the 2021 tax liability is going to be like seven months in advance. So there's lots of time to plan. It's never awesome news. Every successful practice.   you're going to have some type of effective tax rate no matter who you are. And if you're making big money, know, those can be big numbers. ⁓ We do what we can to mitigate that as an avoid as much tax as possible. But at end of the day, we still got to do some planning ahead. that's tax planning. And then when it gets into the business coaching and consulting that is outside of our   area of expertise and into yours. If it is financial planning, we don't do the financial planning that goes into a separate ⁓ level of expertise. That's very helpful. Yeah, we're all part of the team of advisors, but the monthly accounting, the profitability advising, and the tax and tax planning, that's our world.   speaker-0 (29:48) Fantastic because I wanted and I'm so grateful you broke this down because I will be honest when I thought I hired a CPA I thought they did everything and I think that's a very common misconception I didn't realize there were four people to this just like I learned with marketing. There's not just a marketer There is a brand or there is this there's this there's like SEO and I thought wow, I just didn't understand So I think it's really important for people to differentiate because I was getting frustrated with my CPA not giving me tax advice But at the end of the day, that's not what they specialize in   So as soon as I figured that out, because I'm like, why am I always feeling like I'm being hit with these huge tax bills? Because my CPA can tell me what my taxes are, and they're really good at preparing that. But as far as tax strategy and planning and figuring it all out, that's not necessarily their world. And so once I finally differentiated that, they all work hand in hand, things got a lot clearer for me as a business owner. So guys, make sure you're looking at that. Do you have somebody who's a really fantastic bookkeeper keeping all your books super clear?   Do have somebody who you can talk to about like, I don't feel like I'm making any money. Are you getting consistent reports every single month? I am a big believer in Morgan. sounds like you're the same way. Every month I feel like you should be getting your financials. Then do you have somebody who's doing your tax strategy? I used to somebody call me in November and tell me what my tax bill was or beginning of December. Like November was generous. It usually was the first week of December and I'd cry my eyes out every single year. Just because I'm like, how did we not prepare for this? We've had, you know, 11 months and now we're on month 12.   speaker-1 (30:57) Absolutely.   speaker-0 (31:15) It was very stressful for me as an entrepreneur and a business owner. So I love that you said you guys do tax planning earlier. I'm a big believer, like you're right, it's gonna fluctuate, but at least kind of having a plan starting mid-year, then touching base right before Q4, because there's a lot of things that can be done and I can make smarter decisions with more time and then moving into financial planning. So that was insanely helpful. I love the reports you guys do. I'm a huge advocate of the reports you guys do. I think they're gorgeous and they're so helpful.   So guys, would definitely recommend, if you like your CPA, rock on, keep them. Like I said, I have about three that we recommend and HDA is one of them. So if you're considering it, I think it's a great time. We're not into Q4 yet. And so it's a great time. Now is a time that you can change, get those things kind of squared away. That way you have really great, great just direction and guidance. So Morgan, it was such a fun conversation with you today. Thank you for podcasting with me. Thanks for your knowledge. love it.   speaker-1 (32:09) I really enjoyed it. We covered a lot of good stuff.   speaker-0 (32:12) We did. So guys, go check them out. And if nothing else, make sure you know your practice profitability. I'd say if you don't know that set that as a 2021 or 2022 goal, because the sooner you have that information, even if it's bad, that's okay. cause then you can start making correct changes. If it's great, fantastic. You can make ⁓ even smarter decisions. So I would just challenge everyone listening. If you're an office manager and you don't know your practice profitability, find out.   That way you can help. really suggest team members should also know office overhead. That way they know how they can help guide it and it's not just one person trying to do it. So Morgan, it was a pleasure guys. Go check him out. HDA accounting group. Check him out. They specialize in dentists. They work in all the states. So Morgan, thank you for your time today. I super appreciate it.   speaker-1 (32:53) It was my pleasure. I really enjoyed being here. Thank you.   Kiera Dent (32:55) I hope you all loved today's episode as much as I did. It is crazy to think that this many episodes have been released since we started the Dental A Team Podcast. And I started looking to say, my goodness, our listeners need to be reminded of some of the things they may have learned a year ago or two years ago or five years ago, because so many things in our practices weren't relevant back then when we heard them, but they are relevant today. And I would be doing you a huge disservice if I didn't re-release some of these episodes for you to remember, to refine.   to optimize and really truly if you ever need a topic or you're like, my gosh, I wonder if the Dental A Team has anything like this, go onto our website, TheDentalATeam.com, click on our podcast tab and you can literally search any topic. So whether it's overhead or hiring or firing or team morale or engagement or case acceptance or hygiene   onboarding or whatever it is, we have so many episodes for you. And so I am going to intentionally be   re-releasing some of the top best episodes for you, pulling back some of the ones that I needed to remember, some of the things that I feel for you to really, really relearn right now and to re-remember, or if it's the first time, welcome. I'm so happy you're listening to it, but I hope you truly enjoyed today's episode. I hope that you share this with somebody. I hope that you go and implement today because we only have one day. We only get today. And so making today the best that it possibly can be. If we can help you in any way, shape or form, reach out Hello@TheDentalATeam.com.   And as always, thanks for listening and we'll catch you next time on the Dental A Team Podcast.

Most people think being smarter and thinking more will get them what they want, but in this video I'm going to show you why simplifying and having more fun is what actually makes you magnetic. Join the upcoming 21-Day Raise Your Vibration Challenge here: ➡️ https://www.raiseyourvibrationchallenge.com/?video=hXJVFnWtqbM Join The SHIFT Academy: coaching + community to regulate your nervous system, raise your vibrational "set point" and rewire the patterns blocking what you want → https://www.theshiftexperience.com/go-tsa?video=hXJVFnWtqbM 

The difference between people who struggle for decades and those who break through often comes down to a few key ideas.Here are the 20 cheat codes that shaped my journey from broke entrepreneur to building and exiting multiple companies.✅ Get your FREE Sell by Chat Playbook here: https://go.danmartell.com/4baMqER▸▸ Subscribe to The Martell Method Newsletter: https://bit.ly/3XEBXez▸▸ Get My New Book (Buy Back Your Time): https://bit.ly/3pCTG78

In this episode, I break down the real way to make your car look insanely shiny—and how to keep it that way without overcomplicating the process. Most people think shine comes from products… but the truth is, shine comes from removing what's blocking it. We're talking about: Why your paint looks dull (even after washing) How contaminants, swirls, and scratches kill gloss The simple process to restore depth and clarity How to protect your finish so it stays looking fresh And the easiest way to maintain that shine long-term This is the exact system I use to get consistent results without wasting time or effort. If you want a car that turns heads every time you drive it—and stays that way—this episode is for you. PRODUCTS TALKED ABOUT:  The Gloss Boss: https://jimbosdetailing.com/TGB Tough As Shell Ceramic Spray: https://jimbosdetailing.com/TAS or on Amazon https://amzn.to/4r5UxYr The Super Soaper: https://jimbosdetailing.com/TSS or on Amazon: https://amzn.to/49KEM2d Picture Perfect Polish: https://jimbosdetailing.com/PPP or on Amazon: https://amzn.to/4sQWpWu Microfiber towels: https://jimbosdetailing.com/products/orange-wash-microfiber or https://jimbosdetailing.com/products/everyday-microfiber Cut & Finish Pad: https://jimbosdetailing.com/products/cut-finish-pad or on Amazon: https://amzn.to/3LsxJ69 Finishing Pad: https://jimbosdetailing.com/products/black-finishing-pad or on Amazon: https://www.amazon.com/dp/B0FJNDCPTG SHOP ALL JIMBO'S DETAILING ON AMAZON: https://amzn.to/3LX3mVE VIDEO'S TALKED ABOUT:  Clay bar video: https://youtu.be/ZcC6MGQMhn0?si=K9vuSgK2L-3ow9kD Dry Foam video: https://youtu.be/fyMrT0leOiQ?si=KcAWjaFLIFvL-tTd SUBSCRIBE TO MY CHANNEL: https://www.youtube.com/user/jbalaam?sub_confirmation=1   car detailing, how to make car shiny, car shine tips, how to make car paint shine, car detailing tips, auto detailing, how to wash car without scratches, ceramic spray coating, car polishing tips, remove swirls car paint, clay bar car, car detailing for beginners, best car wash method, keep car clean, car gloss tips, paint correction basics, car care tips, detailing tutorial, foam car wash, super soaper, tough as shell

From New York to Phoenix, at least fourteen major airports across the country will see ICE agents deployed today, according to White House border Czar Tom Homan. The immigration agents are being sent to bolster TSA staffing amid an ongoing partial federal government shutdown. In many places, that has led to security checkpoint lines that stretch for blocks and have travelers waiting hours to get to their flights. But it’s been a different picture at SEA Airport, at least for now. Guest: Port of Seattle Commissioner Sam Cho Related links: Support SEA TSA Workers During the Government Shutdown! - gofundme Thank you to the supporters of KUOW, you help make this show possible! If you want to help out, go to kuow.org/donate/soundsidenotes Soundside is a production of KUOW in Seattle, a proud member of the NPR Network.See omnystudio.com/listener for privacy information.

Today we're talking intuition! Intuition is definitely a HOT topic in the spiritual and self-development space. But it's not truly one size fits all. It's not black and white. It's insanely specific to you and your desired outcome. To the blueprint your Soul has for you. So how can we guarantee a good result when using intuition?Let's actually back up... Today we're diving right into: - how to begin to access more parts of the brain- the science behind intuition & accessing the intuitive parts of the brain- why we want to even access this part of us to create more in our life - intuitively channeling which apartment would be best for me to move into (what specifically was I looking for intuitively at that time?)- current obstacles I'm overcoming after my move- comparing one person's intuitive questions with another's - how to get better at intuitively looking for the correct information that suits YOU the best - and more Join The Monthly Membership HereSubscribe to Healing Is Hot articles on Substack HereBook a private session for a personalized healing protocol Here

TSA lines are getting worse. Raven needs this to shut down STAT since he is flying in a week. His wife has precheck, he doesn't. He doesn't like flying with her anyways, she gets nervous.  Oscars were last night, with a strange turn of events. There was a tie with one of the awards. A very different scenario that has only happened seven times in Oscar's history. Anna and Raven discuss things that can socially end in a tie and things that can't.  Conan Obrien hosted the awards. He claims he is the last human award; he's probably not wrong. Timothee Chalamet did not win his Marty Supreme, probably because he insulated the opera singers and ballet dancers.  Is running into an ex uncomfortable or no big deal. Anna has a bad story about running into a man that nearly ruined her life. Raven well let bygones be bygones. Anna is holding this grudge till she dies.  Anna is bringing back books. She wants her daughter, Dakota, to reach for a book instead of her iPad. However, Anna and Raven both agree that it is easier sometimes to throw the screen in front of them. But how do we break this cycle? Can we bring back books?  The Oscars summed up: Long. Insanely long. One Battle After Another swept. There were beautiful tributes. YouTube has clips, save time, and watch what you want.  Raven faked liking a matcha latte just so he didn't hurt producer Sophia's feelings. Have you ever lied to someone's face for their own sake? Also, how do you feel about matcha?  Sandra recently found out that for the last three years, her husband, Dennis, has been secretly sending his sister money every month to help her make ends meet. She's furious, they struggle financially, have two children of their own, and shouldn't be supplementing his sister. He argues that she's always had a hard time managing money and is in a tough spot. Sending $200 a month to her isn't going to bankrupt them and it helps her with groceries. Your thoughts? Tracy has a chance to win $900! All she has to do is answer more pop culture questions than Raven in Can't Beat Raven! 

It doesn't matter if you like trucks, muscle cars, or JDMs, we all need to fill up at the pump and you've certainly noticed the major spike in fuel prices. I explain the situation in the middle east and break down why it matters whether your a car guy or not. I also discuss some incredibly cool innovation in the winter tire world, as well as the ultimate dilemma if you're a pickup truck owner. That and more on this weekly edition of the show!If you like cars, this is the automotive podcast for you!Get your GPS tracker now and protect your car! Use Promo code AUTOADHD15 for 15% off, in addition to another 35% off an annual subscription: spytec.com

Head to our PATREON for the full episode! It's THAT TIME OF YEAR! That's right, bros, we're back with the LEGENDARY friend of the pod Chauncy Thomas to discuss all the prospects for this weekend's Academy Awards! There are some very sure things this year -- but there are also some INSANELY close races that have us chomping at the bit to get started on our Oscar pools! Who do you think is going to take the major prizes this year?

Recorded live in Sydney on March 5th, 2026 at Carousel. Lucy, Theo, Andrew, and Ben bring you: A train-oriented Great American Hall of Name, the Comic Cowboys, a return to a Tripping Report star, kidneymaxxing, the evolution of the Big Bite, and two dubious Stuffs We Should Chat About. Thanks so much to everyone that came out, we had such a good time. *** Outro: Hired Goons - Evil Nine *** Support our show and get exclusive bonus episodes by subscribing on Patreon: www.patreon.com/BoontaVista *** Email the show at mailbag@boontavista.com! Call in and leave us a question or a message on 1800-317-515 to be answered on the show! *** Website: boontavista.com Twitch: twitch.tv/boontavista

Save 10% on a Las Vegas Advisor 2026 membership and book with code MTM.   https://www.lasvegasadvisor.com/shop/products/lva-membership-platinum/?ref=MTM Episode Description Vegas is full of surprises this week — some good, some expensive, and one that should probably be illegal. Shawn and Mark break down Metallica's insane Sphere residency fees, a $5 top shelf cocktail deal at M Resort (yes, Blanton's), ice cream that looks like fried chicken at Area 15, a beautiful Fontainebleau suite tour, a 90s video store pop-up coming to Vegas, and a slot machine screenshot that exposes an 83.96% payback setting. Plus — a wild conspiracy theory about Bally's, Boyd, and the old Tropicana site that just might be true. 0:00 Best Vegas street performer? 0:47 The real Rambo lived in Vegas area 1:55 Metallica's high prices & additional shows 3:31 More shows = easier tickets @ Sphere? 4:30 303 In the Cut - Clever social media attempt 5:23 Ice Cream fried chicken & psychodelic carousel at Area 15 6:38 Four Queens Hugo Cellar social media menu 7:40 M Resort launches $5 top shelf cocktails 9:35 Fontainebleau Noble Suite tour 11:38 90's video store speakeasy coming soon 13:17 INSANELY low slot return to player 14:45 Should casino return to player settings be disclosed to players? 16:05 Bally's buys Sam's Town Shreveport 17:10 Bally's Vegas conspiracy - Dumping the A's site? 18:20 Boyd has tried to build on the Strip before Each week tens of thousands of people tune into our MtM Vegas news shows at http://www.YouTube.com/milestomemories. We do two news shows weekly on YouTube with this being the audio version. Never miss out on the latest happenings in and around Las Vegas! Enjoying the podcast? Please consider leaving us a positive review on your favorite podcast platform! You can also connect with us anytime at podcast@milestomemories.com.  You can subscribe on Apple Podcasts, Google Podcasts, Spotify or by searching "MtM Vegas" or "Miles to Memories" in your favorite podcast app. Don't forget to check out our travel/miles/points podcast as well!

This week on Fright Mic, join Sam and Liz as they talk about James Wan's Insidious which features a red faced demon that lurks in the corner, an INSANELY chilling sound design and that Lin Shaye being a badass in a gas mask.Want more screams and laughs? Join our Fright Club at http://patreon.com/frightmicpodcast and get access to tons more episodes, discussions, rankings, watch parties and more!Fright Mic is an independent horror podcast. We would love to have you join our Fright Fam by following us on all our socials!PATREONMERCHFacebookFRIGHT CLUBInstagramBlueskyTwitterTiktokDiscordSupport the show

"  I want people to walk away from any engagement they have with me saying that I'm not a bad bloke, that I was keen to listen, and that I wanted to help."   This is a special episode only available to our podcast subscribers, which we call The Mini Chief. These are short, sharp highlights from our fabulous guests, where you get a 5 to 10 minute snapshot from their full episode. This Mini Chief episode features Paul Nicolaou, the Executive Director of Business Sydney. His full episode is titled The 3Ps of building an insanely valuable network, daring to be different, and making people happy. You can find the full audio and show notes here:

Bench Press: Pete Hegeseth. Secretary of War: 315. Avalanche. 9 of 15 people that died in Tahoe avalanche hiking/skiing backcountryMikaela ShiffrinGold in SlalomFirst Alpine skier to surpass 100 World Cup winsAnthony Kim. Started 5 shots back. 9 birdies final round!Anthony Kim talking about family and GodTiger on Anthony KimLike Kim Kardashian! Secret Edge of the Rockstar skier per WSJ.I'd say Golfer too.  MarketsMarkets 1% or so off ATH. Tech 5% or so whatever. The interesting story is.SaaSpocalypseiShares Expanded Tech-Software Sector ETF (IGV)31% off high!! Options tradingWorkday: Duration 482 or 16 months. June 2027Trading at $140. Call is $36 or 26%. % is key. Indicates cost. Bid / Ask: So buy 100 at $36.00, costs you $3600.IN summary. Workday goes up 26% to $176 you make money.To make “real Money” you buy $100k you get about 2700-2800 options. Workday doubles to $280. You make ($280- $140 - $36)*2700 = $280 - $300k.   AISpaceXaIXaI video on restructuring and next stepsRoboticsViral Video from China showing many robots dancing and flipping. Thank goodness we have some American Companies doing similar. Its actually INSANELY impressive. Real? https://www.unitree.com/Dog is $1600Figure in the US showing Robots doing real-world tasks.Billionaire Wealth Tax$519 Per Second: The Real-Time DestructionEconomicsRent control in Mass from WSJA group of housing advocates and labor unions want to stop landlords from raising rents by more than the state's annual rate of inflation—but no higher than 5%—a year.RecommendationsAI for Home: Using Gemini Gems: Home electronicsMusic studioChris Hemsworth on Theo VonPlay at 17.40. Purity of life and questioning meaning and why?“Falling in love”. Not rising or winning, but falling, like a sacrifice and risk.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Everyone loves the idea of “insanely cheap stocks.” But what if that mindset is exactly what's wrecking portfolios?In this breakdown, we react to a popular video claiming five beaten-down stocks are screaming buys right now. The pitch sounds tempting. Big names like Microsoft, Shopify, Salesforce, SoFi, Palo Alto Networks, and Walmart trading at steep discounts. AI fears. Market panic. Fear and Greed Index swinging wildly. It all feels dramatic.But here's the hard truth: price direction is everything.This episode dives deep into market cycles, stage four downtrends, moving averages, and why buying the dip can quietly drain your account for months. A 44 percent drop does not mean easy upside. It means a massive climb just to break even. That math matters.You'll see real chart examples and powerful comparisons that flip the narrative:✅ Why most investors buy near euphoria and sell near capitulation✅ The brutal math behind recovering from deep drawdowns✅ The difference between assets and consumables✅ Why trends, not opinions, determine profits✅ How OVTLYR helps identify direction, sentiment, and potential reversalsThere's also a live walkthrough of new OVTLYR features, including sentiment tracking, unusual news activity, and trend templates that highlight when momentum actually shifts.This isn't about mocking stock picks. It's about protecting capital. It's about understanding that profits follow price, not projections. Fundamentals can sound impressive, but if the chart is screaming downtrend, ignoring it can be costly.If you've ever felt tempted to “load the boat” on a crashing stock because it looks cheap, this conversation will challenge your thinking in a powerful way.Watch closely. Think critically. And remember, the market rewards discipline, not hope.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

Does Ed have a point or an insanely idiotic Liberty Flames MBB theory by Ed Lane

" It's never about Paul Nicolaou; it's about other people, because you want to appreciate and show your passion towards them and helping them achieve an end result." In this episode of The Inner Chief podcast, I speak to Paul Nicolaou, the Executive Director of Business Sydney on the 3Ps of building an insanely valuable network, daring to be different, and making people happy.

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This week I'm joined by my good friend Chenell Basilio, creator of Growth in Reverse and one of the most thorough newsletter analysts in the space. We spent over an hour diving deep into what's really working in email right now — from the death of newsletter hype to the opportunity hiding in recommendation networks. Chenell shared her framework of "insanely valuable content" (the one thing that matters more than any growth hack), and we got surprisingly honest about using AI to create short-form content from our long-form work. We also tackled the big question: how do you grow an email list if you refuse to use social media? Turns out there are more options than you think — from public homework challenges to old-school guest posting making a comeback. Plus, I introduced a new segment called "Unhinged Questions" where we played kiss, marry, kill with email platforms. Growth in Reverse (Chenell's newsletter) The Dink (pickleball newsletter with great referral program) Lenny's Newsletter (guest posting example) Ship 30 for 30 (public homework example) Tweet 100 (my old challenge that drove email growth) ⁠Full transcript and show notes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ *** TIMESTAMPS (00:00) Introduction (02:21) Email maturity and the end of newsletter hype (05:16) Why CPC advertising doesn't work for small creators (06:08) Chenell's focus: turning recommendation subscribers into fans (09:01) James Clear had 250K subscribers in 2012 (email inflation is real) (11:20) "It's never been easier to reach someone, harder to sustain a relationship" (12:33) "Insanely valuable content" — the one metric that matters (15:28) The struggle with AI-generated content that performs well (20:11) Short-form repurposing: employee vs. AI debate (24:18) What's no longer working: recommendations (before the reframe) (24:53) YouTube to email is massively underrated (29:25) How to grow without social media (5 strategies) (34:50) Public homework challenges (75 Hard, Tweet 100, Ship 30) (43:31) Unhinged Questions: Kiss, Marry, Kill email platforms (44:44) Operating on hunches without data (45:31) "I hate that I'm not doing deep dives every week" *** RECOMMENDED NEXT EPISODE → #147: Chenell Basilio – How the best newsletter operators grow to 50K+ subscribers *** ASK CREATOR SCIENCE ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Submit your question here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ *** WHEN YOU'RE READY

Shawn's InKind referral - https://app.inkind.com/refer/4FJZRGUZ Episode Description On this episode of MTM Travel we break down everything new from BIlt Rewards. This week Bilt launched 3 new credit cards that help you earn points on paying your mortgage/rent, but things are confusing. On this show we go through all of the controversy surrounding Bilt 2.0, which cards and benefits are on offer, how to maximize these complicated cards and which version we are planning to get. Did Bilt mess up this launch and what can they do to fix the program. Plus does extra complication add more opportunity? 0:00 Welcome to MTM Travel 0:30 Bilt's crazy week - Launch controversy 3:12 Bilt's 3 new cards - 50K welcome offer? 8:03 Application rules & a better offer (now dead) 11:20 Bilt Cash explained - Earning points on mortgage? 14:35 Bilt Cash explained - The ultimate coupon book? 19:25 Bilt 3.0? An alternative way to earn points on mortgage/rent 22:55 Our new Bilt card recommendations/thoughts 27:13 Final Bilt 2.0 takeaways Enjoying the podcast? Please consider leaving us a positive review on your favorite podcast platform! You can also connect with us anytime at podcast@milestomemories.com.  You can subscribe on Apple Podcasts, Google Play, Spotify, TuneIn, Pocket Casts, or via RSS. Don't see your favorite podcast platform? Please let us know!

One of the first mathematical concepts that most of us grasp when we are children is that there is no such thing as the biggest number. No matter what number you pick, you can always add one to it.You might think that such a simple idea wouldn't have any profound impact in mathematics, but it does.In fact, mathematicians have come up with numbers so mind-bogglingly large that it is difficult to even grasp their size, and new forms of notation had to be developed to even write them down.  Learn more about Insanely Ridiculously Absurdly Large Numbers on this episode of Everything Everywhere Daily. Sponsors Quince Go to quince.com/daily for 365-day returns, plus free shipping on your order! Mint Mobile Get your 3-month Unlimited wireless plan for just 15 bucks a month at mintmobile.com/eed Subscribe to the podcast!  https://everything-everywhere.com/everything-everywhere-daily-podcast/ -------------------------------- Executive Producer: Charles Daniel Associate Producers: Austin Oetken & Cameron Kieffer   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/  Disce aliquid novi cotidie Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, we're talking about a cool, fun technique you can do on the guitar: bass runs. Bass runs are a great way of linking chords together and making them sound much more melodic and interesting.   In the episode, I show you some simple examples of how to try this out. I use two chords to show you how to easily link them, and talk you through how to play this at home. Take a listen and give it a go!   If you enjoyed this podcast, you can get my free “guitar secrets” video course, which will help all beginners or those who are “stuck”. Get the course for free, exclusively at - https://fingerstyle101.com/secrets/   Like this episode? Your reviews for this podcast mean the world to me, so please let us know what you thought about the Acoustic Asylum!

This bonus AI Operators episode experiments with a skills-focused format inside the AI Daily Brief community, using the New Year's AI resolution program as a live case study. The episode walks through week two's “model mapping” challenge and why building a personal mental map of which models and tools excel at which tasks can be one of the biggest sources of practical AI leverage. It then goes hands-on with a newly vibe-coded Model Map Builder app, covering its use case library, testing workflow, scoring system, and model history views, alongside a candid look at how fast, low-stakes software gets built using tools like Lovable, Claude, and WhisperFlow. The broader takeaway is a shift from thinking about AI usage to continuously translating opportunities into small, living pieces of software, and how that mindset is becoming central to being an effective AI operator in 2026.Link to the model map: https://aidbmodelmap.com/Insanely cheesy theme music: created with Suno

Most entrepreneurs think affiliate marketing is a side hustle or a distraction from building real offers. In this episode of The Russell Brunson Show, Doug Boughton completely reframes that belief. What he shares is not about quick commissions or one-off launches. It is about building an affiliate ecosystem that compounds over time, increases authority, shortens sales cycles, and quietly feeds your own offers without pulling you away from your current business. Doug walks through how affiliate marketing became his most freeing income stream and why it now sits at the center of his long-term business and legacy strategy. If you sell anything online, whether you are just getting started or already have your own offers, this episode will change how you think about traffic, collaborations, and growth. Doug breaks down the exact ways affiliate marketing can amplify everything you are already doing instead of competing with it. Key Highlights: ◼️Why affiliate marketing works best when it enhances your core offers instead of replacing them ◼️How to use other people's launches and attention waves to grow your audience, authority, and credibility ◼️The three ways affiliate ecosystems work together: other people's offers selling yours, your offers selling theirs, and customers becoming promoters ◼️How email segmentation and integration marketing turn non-buyers into long-term customers ◼️The strategy and platform behind building an army of affiliates promoting your business ◼️Why longevity, alignment, and recurring value matter more than short-term affiliate payouts Doug's presentation is a masterclass in leverage, and long-term thinking. Instead of chasing ‘quick' tactics, he shows how doing the right things consistently builds momentum that pays off for years. He's showing you how affiliate marketing is all about creating win-win relationships, serving your audience better, and letting your business grow through trust and collaboration. If you want a model that creates freedom while strengthening your core offers, this episode lays out the path clearly. ◼️If you've got a product, offer, service… or idea… I'll show you how to sell it (the RIGHT way) Register for my next event →⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://sellingonline.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ◼️Still don't have a funnel? ClickFunnels gives you the exact tools (and templates) to launch TODAY → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://clickfunnels.com/podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Adam Pally talks about the evolving comedy industry, telling the truth and his new HBO special 'An Intimate Evening with Adam Pally'. Learn more about your ad choices. Visit podcastchoices.com/adchoices