Podcasts about Leaderboard

Welcome to THE LEADERBOARD, featuring live-money contest talk proudly sponsored by TwinSpires, the official wagering provider of Churchill Downs, Inc. Each week, we'll give a recap of the biggest TS contest last Saturday, and preview this upcoming weekend's feature TS contest, along with leaderboard info. and contest plays / strategy from some of the smartest players in the game that are guaranteed to make you a better gambler.This week, we recap the 9/26 contest and preview the 10/2 Bonus Feeder on Opening Day of the Fall Keeneland Meeting!_____________________________________________________________________________________________Subscribe to the excellent, informative and profitable "Power Picks" Tip Sheet! Please go to: https://www.patreon.com/hhhracingpodcastFantastic ABC P4 and P5 grids, along with Spot Plays and Price Plays provided that hit close to 35% in 2025 and an OVERALL ROI of $2.05 (national average is $1.60). Picks arrive via email every Sat. morning for that day's races. Purchase your Power Picks NOW and make 2026 and beyond your best handicapping years ever! RECEIVE A DISCOUNT IF YOU SUBSCRIBE YEARLY INSTEAD OF MONTHLY!!__________________________________________________________________________________________________Montage Info:Track: Brian Rian Rehan - DarkMusic provided by Brian Rian RehanFree Download / Stream: https://music.brianrianrehan.com/Dark_________________________________________________________________________________________________#horseracing #horseracingtips #gambling #fanduel #gradedstakes #adelphi #fanduel #nyra #breederscup #saratoga #twinspires #churchilldowns @fairgrounds ##oaklawnpark #travers #nhc #bcbc Keeneland Live RacingWoodbine Live RacingChurchill Downs Live RacingGulfstream Park Live RacingSaratoga Live RacingHaskell Live RacingLaurel Park Downs Live RacingMonmouth Park Live RacingSanta Anita Live RacingChurchill Downs Live RacingChurchill Downs at Aqueduct Live RacingAqueduct Live Racing

Ein Prinzip entpuppte sich als erfolgreich – vielleicht zu erfolgreich? Die Gamifzierung stammt aus der Sphäre der Videospiele und besteht aus psychologischen Mechanismen, uns bei der Stange zu halten und zu Höchstleistungen anzuspornen. Dieses Prinzip ist längst in andere Bereiche übergeschwappt: Wearables wie smarte Uhren belohnen uns mit «Badges», wenn wir unsere tägliche Schrittzahl erreichen. Manche Krankenkassen gamifizieren den gesunden Lebensstil mit finanziellen Boni. Sprach-Apps wie Duolingo belohnen regelmässiges Üben und Unternehmen wie Disney und Uber lassen ihre Angestellten gegeneinander antreten und belohnen das fleissigste Arbeiterbienchen mit dem Platz 1 auf dem «Leaderboard». Das ist aber nicht alles: Auch in der Politik wird dieses Instrument für Kampagnen eingesetzt und bei den Prognosemärkten (Prediction markets) wird es auf die Spitze getrieben: Es lässt sich auf reale Ereignisse wetten, wie auf Pferderennen. Die Risiken sind enorm, wie man in den USA sieht, wo dieser Mechanismus zu einer Art Korruptions-Gamification führt. Man könnte den Eindruck bekommen, dass ein unschuldiger, schöner Mechanismus nach der Logik der Märkte in ein kapitalistisches Monster verwandelt wurde. Stimmt das? Und sollten wir uns darüber ärgern – oder das vielmehr als Gelegenheit erkennen, uns gegen derlei Mechanismen zu wappnen, um uns mündig zu entscheiden, wann wir uns gamifizieren lassen und wann nicht?

From the earliest days of open-weight models to becoming the neutral routing layer for more than 10 million developers, OpenRouter is one of the clearest bets that the future of AI will be multi-model. In this episode, OpenRouter co-founder & CEO Alex Atallah, with AMP's Anjney Midha returning with swyx to unpack how OpenRouter emerged from the first wave of Llama, Alpaca, Mistral, and Midjourney, why model diversity mattered before it was consensus, and how a company dismissed as “just a wrapper” became critical infrastructure for the AI ecosystem.We go deep on the product and distribution lessons behind OpenRouter: why model labs can spend billions training a checkpoint and still struggle to get it into developers' hands, how Mistral helped prove the value of a competitive inference marketplace, why OpenRouter chose focus over expanding into fine-tuning, memory, and other adjacent products, and how its rankings became a real-time map of how AI usage was changing. Alex also explains OpenRouter's early experiments with model fusion, why they deleted the first version and brought it back years later, and how the platform grew to more than 10 trillion tokens per day.Finally, Anjney explains why Stripe and OpenRouter fit together, why token fraud may become one of the defining security problems of the AI economy, and why the next wave of fraud won't just come from humans but from autonomous agents attacking increasingly valuable token flows.We discuss:* Why OpenRouter bet early that no single AI model would win everything* Alpaca, Llama, and open models becoming impossible to ignore* Why Discord's early AI deployments exposed the limitations of closed models* Why model labs can spend billions on training and still fail at distribution* How OpenRouter became a neutral distribution layer for model developers* Why VCs dismissed OpenRouter as “just a marketplace” or “just a wrapper”* The Mistral price war and the first real proof of an inference marketplace* How Midjourney scaled through Discord and what it taught the AI ecosystem* Why crypto infrastructure became a dress rehearsal for generative AI* OpenRouter vs. LM Arena and why their missions are fundamentally different* Why focus became one of OpenRouter's biggest strategic advantages* Anthropic's early focus on AI pair programming and coding* The OpenRouter products that were prototyped but never launched* MOM, OpenRouter's early Mixture of Models experiment* Why model fusion failed in 2024 — and why it works much better now* How OpenRouter's leaderboard became a live map of the AI industry* OpenClaw, auto-routing, and agents reshaping AI usage* How OpenRouter reached 10+ trillion tokens per day* Why inference gateways are increasingly becoming targets for fraud* Why Stripe's fraud infrastructure is strategically important to OpenRouter* The coming rise of agentic fraud and attacks on the token economy* What changes and what stays the same as OpenRouter joins StripeAlex Atallah* LinkedIn: https://www.linkedin.com/in/alexatallah/* X: https://x.com/alexatallah* Website: https://alexatallah.comAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney/* X: https://x.com/AnjneyMidha* AMP: https://www.amppublic.com/Timestamps00:00:00 Introduction00:02:12 Alpaca, Llama, and the Multi-Model Bet00:06:04 Discord, Open Models, and OpenRouter's Origins00:14:28 Why “One Model Wins” Was the Wrong Bet00:17:27 Why Model Labs Struggle With Distribution00:23:04 “Just a Wrapper”: Why VCs Misunderstood OpenRouter00:27:58 Bootstrapping OpenRouter Through Community00:36:16 Crypto, Midjourney, and the Early Generative AI Ecosystem00:43:38 Mistral and the Birth of the Inference Marketplace00:47:10 OpenRouter vs. LM Arena00:52:08 Focus, Anthropic, and Roads Not Taken00:59:34 Mixture of Models and Model Fusion01:02:44 Sonnet, OpenClaw, and OpenRouter's Explosive Growth01:09:03 Why Stripe Acquired OpenRouter01:12:45 Fraud and the Emerging Token Economy01:17:47 The Coming Wave of Agentic Fraud01:19:07 What's Next for OpenRouter at StripeTranscriptIntroduction: OpenRouter, Marketplaces, and Pub-Sub as a Product PrincipleSwyx [00:00:00]: Okay, we are here in Anja's house, which is where all big startups in San Francisco start.Anjney Midha [00:00:08]: Howdy.Swyx [00:00:08]: And, congrats on Cursor, Mistral. I don'- God knows what else. You got so much stuff going on.Anjney Midha [00:00:17]: There's, there's a lot going on. Well, OpenRouter is probably the - has been the most, I would say, like, one I'm excited about recently.Swyx [00:00:24]: Yeah. And we have Alex, first time on the pod, but,Anjney Midha [00:00:27]: Thanks for having me.Swyx [00:00:27]: You've been in the IE a few times. I appreciate every time you've shown up, for the community. Congrats. I just, like, what a journey. When I was looking back at your past posts, one of the earliest principles that I saw you write as a product person is sub as a product principle. And I wanted - you to maybe explain how you think about what should exist in the world.Anjney Midha [00:00:49]: Yeah. The sub piece, which was early 2023, I didn't think about it until we talked like 10 minutes ago, is about how there is like a way of thinking about products as an intersection between subscribing to data and publishing data. And marketplaces are an easy example of this. You have suppliers that are publishing some product to a SKU. And the SKU is like a sub topic that a consumer is subscribing to and just going to, like, consume whenever they want. And humans consume in a very, like, discreet, ad hoc way. It's not very scalable. all their attention is on the topic when they're buying the thing, and their attention is nowhere else when that happens. agents and consumers of inference don't act like that. They're consuming continuously, and they're changing the SKUs that they consume from all the time. So OpenRouter is like a blend between a normal API experience and a marketplace where we create model slug. We have the auto router. We have all kinds of, like, product SKUs that you can subscribe to. And then you can, like, continuously add, like, derive value and make decisions based on those consumers.Alpaca, Llama, and the Multi-Model BetSwyx [00:02:11]: Yeah. This is something that was more consensus now, but not consensus when you guys started, which was that there is such a demand for swapping models and changing things out and, that people would not use the native SDKs. I guess, for each of you, what was your realization moment that this would be it? I, - You've, you've given a talk at EIE about Alpaca as,Anjney Midha [00:02:33]: Yeah.Swyx [00:02:33]: One of your inspiring moments.Anjney Midha [00:02:35]: Alpaca, I can, like, rehash the Alpaca moment for a sec. Like, the very beginning, at the end of 2022, OpenAI was the only game in town. There was, like, OpenAI, Cohere,Swyx [00:02:47]: Yes.Anjney Midha [00:02:48]: And then a smattering of, like, early attempts at open weight models.Swyx [00:02:54]: Yeah.Anjney Midha [00:02:54]: When Llama came out in January of 2023, it was like, “Wow, really exciting. This is really big.” It outperforms 3 on, one or two benchmarks. but you can't chat with it. It wasn't like - It wasn't an engaging model, but it seemed like someone just needed to fix a couple things and do some RLHF on it to get it all the way there. And Alpaca was the first model that I saw that did that. It only took $600 to do. A team at Stanford generated a bunch of synthetic data, tuned Llama, and made Alpaca, billion parameter model. Or was - Maybe it was thirteen billion parameters. And it was so good. Like, I was just, like, on an airplane using it. I, - in many cases, I, like, you could not discern a ChatGPT versus an Alpaca result. And I figured if it was this easy to make a model, one, we have a whole new way of monetizing data for the first time. you can just, like, take really valuable data and turn it into a service in $600. and that cost will probably go down over time.Swyx [00:04:03]: When you - So sorry. when you say monetizing your data as, what eventually will become an MCP endpoint or as a training data for a model?Anjney Midha [00:04:12]: Yeah, training data for a model.Swyx [00:04:13]: Awesome.Anjney Midha [00:04:13]: Like, an abstract way of saying like, “Hey, I have this data.”Swyx [00:04:15]: Compress it into a model.Anjney Midha [00:04:16]: Like, it makes sense for me in my product, but, like, I could repackage it in the form of a model and sell it. And so it's just a whole new business model for the economy. It also, of course, provides, like, a way of following what Frontier Labs are doing, but in a way that, like, a single developer or a small team of developers can roll on their own. And so - Whenever you have an example of that, like a breakout app that's doing really well, and then some framework for imitating it with - in your own flavor, you have an immediate ecosystem of, like an immediate ecosystem, like, should arise because there's just a huge gap between the, like, decisions that the single company is making and all of the variations in those decisions that, like, a wider ecosystem can create themselves. And so then, you need a marketplace to, like, discover all of those, services and all of those products. There wasn't any place on the internet that, like, was like a home base for LLMs in terms of seeing how much they were being used and seeing who was using them and why.Swyx [00:05:29]: The closest would be Hugging Face.Anjney Midha [00:05:30]: Hugging Face was the closest at the time, yeah.Swyx [00:05:31]: They just started Hugging, like, a few years ago before that.Anjney Midha [00:05:34]: Yeah, and Hugging Face also didn't have the closed-source models.Swyx [00:05:37]: Yeah.Anjney Midha [00:05:38]: And they didn'- you couldn't use the models at the time. and there wasn't data about who was using them. There were, like, a bunch of differences between OpenRouter and Hugging Face, and those differences felt really critical to me, especially when I was just trying to learn about LLMs and, like, why people are choosing, like, Different little ones that are emerging over time.Discord, Open Models, and the Origins of OpenRouterSwyx [00:06:03]: Got it. And then, Ansh, no stranger to wanting more model diversity, at the time, you're a couple of years into your Anthropic journey, which we covered in the previous podcast as well. What was your introduction to Alex?Alex Atallah [00:06:16]: Well, the introduction was, I think, thirteen years before that.Swyx [00:06:20]: Oh.Alex Atallah [00:06:20]: But the OpenRouter handshake happened right over there, if you remember.Anjney Midha [00:06:23]: Yeah.Alex Atallah [00:06:24]: Which - So Alex and I, met, I believe as sophomores now, if I remember at the Stanford Review,Anjney Midha [00:06:32]: That's rightAlex Atallah [00:06:32]: Meeting for the first time.Anjney Midha [00:06:33]: I think so, yeah.Alex Atallah [00:06:35]: Yeah.Anjney Midha [00:06:35]: Yeah.Alex Atallah [00:06:35]: So Stanford Review was the libertarian newspaper on campus at Stanford that Peter Thiel started back in the day. And, whatever-- for whatever reason, I, Alex and I both showed up to one of the meetings, and I remember, the editor-chief was a mutual friend of ours. Lisa was really a really great editor-chief, where, part of an editor-chief's job is to assign responsibilities to people and make sure the work gets done. and I, I may be misremembering the details, but I remember wanting to. It was surprising to me that at the time there was no dedicated technology section in the newspaper.Alex Atallah [00:07:11]: YouSwyx [00:07:13]: Because it's political, right?Alex Atallah [00:07:14]: It is primarilySwyx [00:07:14]: Like, it's talkingAlex Atallah [00:07:15]: It originally started as like aAnjney Midha [00:07:16]: Yes.Swyx [00:07:17]: Yeah, states and all those things.Alex Atallah [00:07:17]: Correct.Swyx [00:07:18]: Yeah.Alex Atallah [00:07:18]: But it, - To take us back in time, you may remember this, but, there was this technology, legislation that was being debated called, the Net Neutrality Act. And net neutrality is, like, inherently this political concept, right? It's, it's about the regulation of - internet broadband access. And so there was a community of us who were technologists, but also debating the politics of the technology. And I thought the Review would be a great place - to, like, write about that. And I was working on, I think, a net neutrality article, and I remember proposing, “Well, maybe we should start a technology section.” And Alex was one of the only people who said, “Yes, that would be cool.” And said. I forget whether we ended up writing stuff together, but - that's when we first met,Alex Atallah [00:08:03]: Was 2011 or twelve. I forget which year it was. It was one of those.Anjney Midha [00:08:09]: Yeah.Alex Atallah [00:08:09]: It was at Old Union, if I remember correctly.Alex Atallah [00:08:11]: That's where we used to meet. But, along the way, Alex and I have had a chance to, To hang out often. And probably the time when we had the most professional overlap was when I was running the platform at Discord, and it had become this explosive platform for cryptoSwyx [00:08:32]: YeahAlex Atallah [00:08:32]: And NFTs in the middle of the pandemic.Swyx [00:08:35]: Which also, by the way, you were in charge of safety and security as well, right?Alex Atallah [00:08:38]: I was the head of platform, which meant all of the crypto - the DAO and NFT launch security debugging fell onSwyx [00:08:45]: And their phishing and.Alex Atallah [00:08:47]: The phishing, the social engineering attacks, the katana DDoS that we were getting hit by. but it's around the time I first started teaching security at scale at Stanford, CS 153. And Alex was on the, - at OpenSea at the time, and I was trying to figure out how we could defend against all these attacks that we were. Like, and at peak, I forget, if you remember how much NFT volume was running throughSwyx [00:09:10]: DiscordAlex Atallah [00:09:10]: Discord, but it was, like, a meaningful amount of, like, it was, like, several billion dollars in NFT volume of GMV, so to speak, were running through the platform, and it was all coming from OpenSea. It was these, like, buy, sell,Swyx [00:09:20]: TheAlex Atallah [00:09:21]: ServersSwyx [00:09:21]: The D in DAO is Discord.Alex Atallah [00:09:25]: Yes. And so that's when I think we had hung out professionally. But a year after that, OpenAI gave Discord early access to GPT. Sorry, three. No, it was five. Yeah, five, which is the RL version of three. And that's around the time we made a Discord bot with, OpenAI for internal deployment, and that's when I realized we would need. Like, since I was part of the deployment team.Anjney Midha [00:09:50]: What was the use case?Alex Atallah [00:09:51]: There were two that were. And there's, there's a post now called “Discord is Your Place for AI with Friends” that somebody sent me recently that I wrote, and published in twenty-three. But There were two use cases. One was Clyde, which was the - like, a party friend inside of Discord that could help you set up your Discord server and talk to you about onboarding and get your friends to hang out more. and then there was content moderation. And one of the realizations we had with content moderation was - it would refuse to moderate. Like, it would just refuse our prompts because the The training was. We were very early in the training era, and it would just. Our prompts would trigger it, its, like, guardrails. And we told OpenAI, “Hey, guys, we need access to the weights because if we're gonna be doing content moderation at scale, we had 250 million monthly active users, we need more reliability that the model will do what we need it to.” And they said, “Well, sorry, guys, that's not how this works. We're a closed-source company.” And so that was my first realization that we needed open models, and the enterprises would need more control over capabilities, and then ultimately would need some control plane or management system to orchestrate these open models. But there weren't no good - there were no good open alternatives until maybeAlex Atallah [00:11:10]: Six months later when Llama came out. And six months after that, I led the series A into Mistral, which was started by Guillaume and the Llama team. And - That, - Around that time is when I remember hearing about Alex launching OpenRouter and going, “These worlds are gonna collide, and I don't know when it'll make sense to team up.” But Alex was so early and could see. I think he was totally right about this ecosystem starting with Llama that then needed, like, a, an easy layer to manage for, especially for. I was approaching it from the enterprise perspective because I had been that, like, the. As the VP of platform at Discord, it was my job to ensure that when we deployed models to, like, 250 million users, they did what we wanted them to. And that was very hard, because if you outsourced it to the labs and they controlled the guardrails and their guardrails are their safety policies. Forbid the model from responding to your prompts. That was quite catastrophic.Swyx [00:12:05]: Yeah. But what, a moderation is the thing that they want to support. And obviously, beyond that, they would - OpenAI would work with you, presumably to give you a moderation endpoint, which they offer for free.Alex Atallah [00:12:16]: It was an interesting use case, that - So they did give us a moderation endpoint. However, as you guys know, every Discord server is like a mini deployment of itself. And so the use case was instead of having human moderators that have to interpret the norms of the community, you just give the, - Often, like every, subreddit, Discord servers, public ones have their own rules that the user, the users create.Swyx [00:12:41]: Oh, yeah. We run the LinkedIn Discord in. Yeah.Alex Atallah [00:12:43]: And then humans used to read those norms and then enforce it every day manually, like observing each message in these communities. And these communities have like millions of users. So we had a 5,000+ person team globally in the, on the Discord content moderation team. These are outsourced contractors who had a really tough job. And so the idea was instead, if you could give the norms of that server To the LLM, then the LLM would do custom moderation for that server. It's almost like a, like context moderation for that server. And many of those servers' norms just violated OpenAI's rules. And so - It was like we had our own custom eval. So each server had its own custom eval. But Discord-- at the time, OpenAI's evals, we were all soAlex Atallah [00:13:28]: Primitive in our thinking about how to deploy these LLMs that often the training prompts were super handed. It said, “Oh, anything about Harry Potter, anything that has trademarked content, don'- refuse.” And if it was a fan - Harry Potter fan community, this is a real use case, that had content moderation, the LLM would just refuse.Swyx [00:13:48]: Yeah.Alex Atallah [00:13:49]: And that was just not precise enough.Anjney Midha [00:13:52]: Another one that we heard was like if someone was trying to write like a detective story, and there's one chapter with a lot of violence, like maybe someoneAlex Atallah [00:14:01]: RightAnjney Midha [00:14:01]: Like kills someone, the LLMs would just refuse to, like, help with that part of the story.Alex Atallah [00:14:07]: Yeah.Anjney Midha [00:14:07]: And then - like, we used to be like, okay, this is not like structurally inherent to LLMs. There must be, like, some choice out there so that I can, like, switch to another model, when I'm getting, like, a refusal or a bad result from the main one that I have. And that, like, tension also drove me for a marketplace.Why “One Model Wins” Was the Wrong BetSwyx [00:14:28]: Yeah. I think that is well accepted now. What was it like back then when you were raising or, starting this? did people get it? what was the, some of the struggles? I like getting stories out of him about how other VCs don't get it. So like anything you wanna, talk about, now - Let's, let's call it, that the early journey of OpenRouter is done, right? You can obviously talk about some of the early days stuff.Anjney Midha [00:14:54]: Well, I was gonna say that, like, the biggest objection we got is big model win, which is - all of theSwyx [00:15:03]: Scaling laws.Anjney Midha [00:15:04]: Huh?Swyx [00:15:04]: Scaling laws.Anjney Midha [00:15:05]: Yeah, scaling laws, and natural network effects are just gonna accrue to one company, which will be - It'll be a Google-style monopoly, just like how Google won the search market, by a large margin, and you'll just be fighting for scraps at the end. That was probably the biggest objection we got. it is interesting that Google won the search engine race with such a huge margin. I think, like, had there been more interesting benchmarks or had, like, search engines been, - had people, like, seen them a little bit more like LLMs where they're services that you can build companies on top of, that might not have been the case. but LLMs don't merely have a user interface. They're also, like, ways of building entirely new businesses. And, a Google-level monopoly would be like the Dutch East India Company times, quadrillion in magnitude because the whole economy ends up, like, depending on the one monopoly as well. So it didn't seem like would be a really crazy outcome if that happened. And it's also less likely because the economics of, like, creating good competitors are much, like, much more decentralizable.Alex Atallah [00:16:25]: Everything Alex said is true, And I came at it from a completely different perspective, whichSwyx [00:16:31]: Yes, this is why we're here.Alex Atallah [00:16:32]: The scaling laws were never - In my mind, were always a feature, not a bug for why OpenRouter would be very valuable. Because, I was one of the first investors in Anthropic, and it was obvious to me that other researchers in our friends - I went to grad school for machine learning, and I just had a lot of friends in the ML community who it was very obvious to us that the bitter lesson holds. And so I was like, “Oh, fantastic. Now we have at least two proof points that compute scaling works.” It was OpenAI and Anthropic. and by the time I think we decided to team up on OpenRouter, I had already invested in Mistral and Black Forest Labs and Luma. So there was multiple model companies and teams that I was, working with.Why Model Labs Struggle With DistributionSwyx [00:17:14]: But you did other modalities, whereas this is literallyAlex Atallah [00:17:16]: Across different modalities, yesSwyx [00:17:17]: Text.Alex Atallah [00:17:18]: Exactly. And it was so obvious to me that an ecosystem of different kinds of models were being created, and that this whole narrative of, like, Only one company will dominate like Google was, well, like maybe true, but one, I don't believe that. But two, there was so much extraordinary innovation happening across several different research teams. But the shared problem I was noticing across all of them was often, the research teams were fantastic at figuring out how to reason about new capabilities. They think in terms of capabilities, but never - like, are not developer mindset-oriented. Like, what happens after the training is done and the checkpoint comes out? Like, you'd be shocked how, like, similar the early training teams at OpenAI, sorry, Anthropic, BFL, Mistral, were in their, like, default approach to. Taking their research out of the, lab and scaling their impact, which is often, oh, the checkpoint is done, put it out as an API, done, and then there'd be crickets. in the case of Claude, the first Claude checkpoint was done a year before they released it internally. And then ChatGPT came out, and we decided, okay, yes, it's a good idea to release a Claude version externally.Alex Atallah [00:18:34]: And they had no plan, like no plan for how to get developers to try it out. And so if you go to the Claude one blog post, you'll notice there are, like, three developer examples for users of the API, and one is a Discord bot, and the second is Vivian, my wife's startup called Juny Learning, ‘- And then there was, like, Notion, because these were all friends of, like, the Anthropic Because that's how - like, last minute the planning was around, hey, once the model's done training, how do you get it out to the world? There was no distribution platform that understood what developers needed, all the key management, provisioning, like, simple, like, endpoint management, versioning control. Like, all these things that the scientists and researchers go, “ that's plumbing. I don't really think about it.”Swyx [00:19:15]: Implementation detail.Alex Atallah [00:19:16]: Right. And instead, Alex came at it from that perspective. And so, it was so obvious to me that, like, every single lab I was funding would spend - like, literally sometimes billions of dollars into training, and then a checkpoint would be done, and there'd be crickets, like, during early access because they're like, “Oh, that's right.”Alex Atallah [00:19:35]: It's hard to use a checkpoint to make anything. You need a whole bunch of plumbing around it to make it usable by a developer. And so by the - I think - it was so obvious to me that a distribution platform like OpenRouter was critical to have in the ecosystem if we wanted there to be competition to Google. Like, unless-- ‘cause with Google, DeepMind is done training a new checkpoint, and then they push a button, and it gets blasted out across all their surfaces from Google Docs to,Swyx [00:20:01]: Everywhere, even if I don't want it.Alex Atallah [00:20:02]: Everywhere. You wanna know about, like, on Android, like, overnight, they can deploy a new checkpoint to, like, a billion devices, right? And that invisible infra advantage, distribution advantage, most people don't realize, but until OpenRouter showed up, - you had to think about all of that yourself as a model lab. And it was very daunting. at Anthropic, I think it took, well, more than twelve months to get to our first 10 million in revenue. And in contrast with Black Forest Labs, I remember the early days, you guys had a conversation with the BFL team, and, it was so simple for OpenRouter to say, “Oh, no problem. Like, the day you launch, we can send 1 million developers to you.” that was crazy. That was like a step function change in, like, an hour.Swyx [00:20:46]: Is that a real number, a million?Alex Atallah [00:20:47]: I,Swyx [00:20:48]: Okay. All right.Alex Atallah [00:20:48]: I think today it's, like, 4 million. How many developers are on OpenRouter today?Anjney Midha [00:20:52]: Over ten,Alex Atallah [00:20:54]: Yeah.Anjney Midha [00:20:54]: Over 10 million, but, like, it's, it's hard to, youAlex Atallah [00:20:59]: I, yeah, I don't know how to. Yeah.Anjney Midha [00:21:00]: We do a lot of, like, account duping work, but, noAlex Atallah [00:21:04]: If you could get 1,000 developers, just to put in context If you get 1,000 developers who try the model on day one after you release it and just, like, do inference and give you feedback, that's a thousandAnjney Midha [00:21:15]: That's hugeAlex Atallah [00:21:16]: More developers than they knew how to get to on their own.Swyx [00:21:19]: Well, BFL had a reputation, but yes.Alex Atallah [00:21:21]: They had one in Stable Diffusion.Swyx [00:21:22]: Yeah.Alex Atallah [00:21:23]: And with Mistral, I don't know if you guys remember, but the first checkpoint they released was, like, torrents. It was, like, torrent weights.Swyx [00:21:31]: Yeah, they just put up a magnet link.Alex Atallah [00:21:33]: Yeah, there was no API.Anjney Midha [00:21:34]: Yeah.Alex Atallah [00:21:34]: Because they didn'- they weren't infra people.Alex Atallah [00:21:37]: ? Like, it's like, okay, download these weights, and you guys go figure out how to host it.Swyx [00:21:39]: Well, he has a story on his side, yeah.Anjney Midha [00:21:41]: Yeah, in addition to the, like, building a really good developer experience around it, the marketing that we do on, like, for different models is totally different and perceived totally differentlyAlex Atallah [00:21:54]: RightAnjney Midha [00:21:54]: From the marketing that a model lab does for itself.Alex Atallah [00:21:56]: Yes, 1,000%.Anjney Midha [00:21:57]: Right? We are like a, neutral layer looking at this market like it's a big dark room with all the corners completely obscure to users, and users are walking into the room and, like, feeling aroundAlex Atallah [00:22:09]: YeahAnjney Midha [00:22:09]: And trying to figure out what objects to grab off the tables and, like, build into, their companies. And it's just an insane way of working. Like, models are not products where you can just enumerate all their features onto a web page. They're all black boxes, including the open weight ones. So you need to, like, shine lights on all corners of this room, so that people can see what makes this model good, and you need the company shining that light to be a neutral third party, which is what we specialize in. So the, like. It'- In addition to developer experience, there's also, like, a very important, like, marketing and product packaging componentAlex Atallah [00:22:50]: YeahAnjney Midha [00:22:50]: And a way of, like, routing and discovering models becomes, like, critical to your market as a provider or a model lab or a server tool and more in the future.“Just a Wrapper”: Why VCs Misunderstood OpenRouterAlex Atallah [00:23:03]: And this value, to your earlier point about how many VCs, like, just don't. One of my biggest frustrations is that venture capitalists, many of them, like, just don't have any operating experience in the field. so unlike a traditional investor who's just maybe come up through the ranks as, like, a associate working on financial modeling or maybe hasn't been a real operator in the field for, like, more than ten years, which is a big part of the industry now, I had just arrived at a16z, like, a year after running the platform. And so I knew what the challenges were of, like, building a real - great developer experience and like, being able to create a working piece of software with a model. And there were a few, I won't name names, but there were investors who were looking at OpenRouter, and, felt at the time, like, when I would compare notes with people, that it was just, I quote unquote, “just a marketplace.”Swyx [00:23:59]: Yeah, just a thin layer, just aAlex Atallah [00:24:00]: CorrectSwyx [00:24:00]: JustAlex Atallah [00:24:01]: A wrapper or whatever on other people's APIs. And I was like, “You have no idea how strategic the value that OpenRouter has created by being able to orchestrate even three.” APIs in production. The amount of both engineering work and community design that goes into getting that live and running in production at the scale the OpenRouter team had started just doesn't happen by default. And that was one of the things that stood out to me about Alex from the earliest days. Like, he just understood, like, - from a systems perspective, like, how do you get these flywheels going? Like, that stood out to me with OpenSea when we were working together on the NFT integration at Discord. Like, Alex had a level of community-- like, systems thinking on how you get these flywheels going that most scientists and machine learning people just don'tAlex Atallah [00:24:48]: Think of. Like, we often think in terms of training.Swyx [00:24:52]: It's a linear stage.Alex Atallah [00:24:53]: It's this linear pipeline.Swyx [00:24:53]: There's no loop yet.Alex Atallah [00:24:54]: Yeah. It wasn't until much later that the modern context feedback loop cycle really got standardized in the industry. But at the time, if you remember, machine learning was like. Like, mostly we did a lot of ML, like, when I was in grad school on a laptop. So you just, like, download a dataset, ran some ablations, and you looked at the loss curves, and you're like, “Great, I made AI.” And the idea that you have to, like, deploy those capabilities, collect feedback trajectories, then, like, put those into a continuous loop, like, came much later. And it was very counterintuitive to the - like, the traditional AI mindset. I do remember doing the investment phase for, OpenRouter, I just didn't try and educate a bunch of other VCs on why it was not just a marketplace. I was like, “ what? I'm just gonna invest.”Anjney Midha [00:25:41]: Yeah.Alex Atallah [00:25:41]: And I'm going to, like, take the opportunity to partner with Alex, and if - no other VCs get it, that's totally fine. ‘Cause at the time, - it was not obvious, I think, to several of the investors that, like, OpenRouter was not more than just a wrapper around APIs. And - that infuriated me. And I was like, “ what? I don't have time to debate you. I'm - we're gonna, we're gonna invest.” And then I think, like, a month later, Matt Murphy marked it up by 10x. Like, - I think. I forget what the exact money was and so on, but, to his credit, Menlo Ventures realized, “Okay, there's much more strategic value here as well.” Maybe you didn't hear all these conversations behind the scenes But that frustrated me a lot. there's a lot of this, like, opining about wrappers. and if you're like, “Oh, an app is just a wrapper on a model,” then, like. And, OpenRouter is, like, this wrapper on top of other APIs, and this is the most stupid, reductive framework.Alex Atallah [00:26:31]: And so it's clearly somebody who has no experience deploying product at scale.Swyx [00:26:34]: It's the thing you dismiss other things with. Like, you're a - everyone's a wrapper on everything, right? Like, and there's, there's some Some wrappers have value.Alex Atallah [00:26:40]: Investors are wrappers and LPs, right?Alex Atallah [00:26:42]: Like venture capitalists. So, yeah, it's all wrappers down, all down to bare metal, I guess, and like energy.Swyx [00:26:46]: Yeah, there - When I started the whole AI engineer, I guess, the coining, in 2023, like, that was, like, the number one pushback is that this is no value. You should just train models.Anjney Midha [00:26:56]: Right.Swyx [00:26:57]: And, yeah, obviously this is, like. you guys are one of the testaments to the fact that you can build very valuable wrappers, but also very valuable model companies.Alex Atallah [00:27:06]: It's so, hard to be. Like, the day a model launches, the fact that you have an OpenRouter, endpoint for that model frequently at the top of Hacker News on day one, people don't realize the amount of work that goes into accomplishing that. And OpenRouter used. Like, that would happen over and over again, and I remember going, “People have no idea how hard that is.”Alex Atallah [00:27:30]: That's not.Swyx [00:27:31]: Yeah, we've covered some of the inference engineering that goes behind,Alex Atallah [00:27:34]: YesSwyx [00:27:34]: Some of - with Base Ten and all those. Well, today you have, all those, like, cool code name things that people guess what Oxy Alpha is and all those things. But, like, I guess one of the things that you're teasing is, how do you get that initial flywheel going, right? Because today you have your scale and your reputation, all these things, so obviously you - you're driving immense distribution. But when you were early on, when it's mostlyBootstrapping OpenRouter Through CommunityAlex Atallah [00:27:55]: The bootstrap, yeah.Swyx [00:27:56]: Yeah.Alex Atallah [00:27:56]: What was the bootstrap like?Anjney Midha [00:27:58]: To bring it back to early Discord days, I think we, like, initially connected with. This is an OpenSea story, technically. But, and we initially connected when you were at Discord, and we talked about, like, - the Axie Infinity server.Alex Atallah [00:28:13]: Oh, yes. Yes.Anjney Midha [00:28:14]: This server was, like, the biggest server at theAlex Atallah [00:28:17]: YeahAnjney Midha [00:28:17]: At Discord.Alex Atallah [00:28:18]: That's right.Anjney Midha [00:28:19]: And you were like, constantly bumping up theAlex Atallah [00:28:22]: The limits on the server. Oh, my GodAnjney Midha [00:28:24]: Of how many people could be in the server.Swyx [00:28:24]: For those who don't know, like, 10% of Philippines was Axie.Alex Atallah [00:28:29]: Was on that server. That's a big hit.Swyx [00:28:31]: It was, like, a meaningful contributor to the GDP of the country.Alex Atallah [00:28:33]: It was an NFT, like, crypto game, but itSwyx [00:28:35]: It was like a Pokémon breeding thing.Anjney Midha [00:28:36]: Yeah.Alex Atallah [00:28:36]: Yeah. Similar. Yeah. There was battling, there was breeding, and then there was, like, a marketplace for trading.Swyx [00:28:43]: Earn as well.Alex Atallah [00:28:45]: Yeah, earn. And, like, the graphics were really cute and fun, and you like, you get emotional about your Axie that you make. So to, like, start a community like that, which we had to do many times at OpenSea with every early project, for us to create a marketplace for it, we need to make sure that the, like, the community wants it.Anjney Midha [00:29:09]: Right.Alex Atallah [00:29:09]: And it's like building something that people want and going and telling them about it. Like, you can do that on a one basis, but there's way higher leverage to do that in a community where everyone can talk to you at the same time. So we spent a lot of time, like, building things that the community really wanted. We did the same thing for OpenRouter. And, like, the Axie community was one of, like, a zillion communities we did that with. And Anj, like, saw us doing it and. ‘Cause you could just see people sharing OpenSea links constantly in that Discord. Like, users sharing links is a really clear indicator that, like, something important is going on. So we spent, a lot of time, like, first figuring out what the gap is in the technology that people care about. Like, what was the actual problem that needs to be solved? in early LLM days, it was, OpenAI refusing to finish the prompt or,Anjney Midha [00:30:09]: YeahAlex Atallah [00:30:10]: To, like, complete the task. It was also.Anjney Midha [00:30:13]: Inability to customize models. and so there are communities that, like are just completely blocked on that issue, and those are the communities that are most useful to learn about and dive into and explore.Alex Atallah [00:30:28]: Something that really struck me at that time, - as I was just hearing your talk, I remember noting - you may not remember this, but we - we had these, like working, Zoom calls that we were doing a sprint around for, like this OpenSea integration with Discord. and, we'd, we'd - it was myself, my engineering team. I think you were there. And I remember, Alex, in the middle of one of those calls, just like there was like silence. we were all like, “Oh, yeah, this totally makes sense. Let's do this.” And then there's - every, like everybody aligned. And Alex was like, “No, this makes no sense to me.” And everyone's - I remember going, “What? Like, it works. Like, you click on a link and this, then it bounces you out to, like, OpenSea.” And he was like, “It's not a good user experience. Yeah, we should not do this.” And I remember going, he was the only one person out of all of us to raise his hand and go, yes, it made sense from a technical implementation perspective. Like, we were bouncing the user out into the, into OpenSea. And so it kinda checked the box of the product manager's requirements on both sides. But Alex went one step further and was like, “ what would be better, guys? If we just embedded the experience right here inside of Discord so the link opened up as an embedded iframe, and you can just check out right there.”Alex Atallah [00:31:47]: And not one person on the call, and there's like seven of us who had met, like, week after week.Swyx [00:31:52]: And it's the guy who doesn't work for Discord.Alex Atallah [00:31:53]: And it's the guy who doesn't work for Discord.Swyx [00:31:55]: Like, technically, you benefit if they bounce.Alex Atallah [00:31:57]: Exactly. And that was, like, adversarial. To keep the user inside of Discord would be adversarial to OpenSea. And yet Alex put that user experience first. And I was like, “That's special.”Swyx [00:32:08]: Wow.Alex Atallah [00:32:08]: Because it's very hard to have somebody who's technical like Alex and understands the developer flow, but also understands the best user experience and wants to prioritize that. And that's two sides of the flywheel that if you can get spinning, like is often hard to stop. And you just reminded me, like that one was one of those moments where I go, I - I realized I gotta be better at user experience because I should have been the one who came up with that, and I didn't. And I learned from you. And, I think that went into one of our case studies for the PM training program at Discord.Swyx [00:32:34]: Whoa.Alex Atallah [00:32:36]: I don't know if it there is Because ofSwyx [00:32:38]: You need an Alex is the conclusion.Alex Atallah [00:32:40]: Yeah. You need an Alex. And this is why I'm not, nobody should be surprised why Stripe decided like they had to buy OpenRouter because it's a really rare combination of people who understand the machine learning community, the developer experience, and the user experience. And putting all that together has resulted in this extraordinary scale that very few other marketplaces have been able to achieveWindow AI, BYOM, and Finding the Right Form FactorSwyx [00:33:02]: Yeah.Alex Atallah [00:33:02]: Over the last, five years.Swyx [00:33:04]: Yeah. Well, we should talk about the other reasons for acquisitions, whichAlex Atallah [00:33:07]: Yes, we should.Swyx [00:33:07]: You've written about. I wanna proceed somewhat chronologically as well. So - there is a point that, one of the questions that, Dave from H of Zero sent in was, when did it - really started to work? And you brought up Mixtral. I don't know if you wanna bring up that story.Alex Atallah [00:33:22]: Oh, yeah.Swyx [00:33:23]: Which obviously you overlap with, so.Anjney Midha [00:33:26]: Yeah, the MoE was. I don't know when. there's no like one moment where I was like, “Oh, this is, officially starting to work.” It wasSwyx [00:33:36]: The moment where you had a Chrome extension, like, really super early on.Anjney Midha [00:33:39]: Oh, yeah. But, well, - yeah. So before OpenRouter, I wanted to, like, explore a bring-your-own-model experiment. And,Swyx [00:33:47]: Which anyone familiar with crypto is like, yeah, Phantom and all these things.Anjney Midha [00:33:50]: Yeah. So it felt like doing a MetaMask analogy for AI would be a fun way of exploring that. And at the time, there were no AI apps. There were probably as many AI apps that were, like, hitting AI - like, hitting an LLM via an API call as there were, like, games just doing it in JavaScript. like there was a, there was a moment in time where it could have been the case that web apps call LLMs through the browser, like through some desktopAlex Atallah [00:34:27]: Yes.Anjney Midha [00:34:27]: Managed app that is controlled by the user. and of course, there are like, I think, many reasons that did not happen. But back when the days were that primordial, I built a Chrome extension called Window AISwyx [00:34:43]: With Plasmo.Anjney Midha [00:34:44]: With Plasmo.Swyx [00:34:45]: I had come across early on, and I was like, “Who's gonna use this?” You did.Anjney Midha [00:34:49]: Plasmo had a couple, like, I think Phantom was using it. there were some other, like real companies using it.Alex Atallah [00:34:56]: It was like a shim.Swyx [00:34:57]: React for Chrome extension. It compiles to allAnjney Midha [00:35:00]: Yeah.Alex Atallah [00:35:00]: I see.Anjney Midha [00:35:00]: Like Next.js for Chrome extensions.Swyx [00:35:01]: Next.js, Next.js.Alex Atallah [00:35:02]: Okay.Anjney Midha [00:35:03]: And yeah, built Window AI on top of it. The creator of Plasmo, like started contributing code to Window AI, in GitHub, and that turned out to be Louis VicchiAlex Atallah [00:35:15]: Oh, you'Anjney Midha [00:35:15]: Who is the founder of OpenRouter.Alex Atallah [00:35:17]: That's right. You have told me this is how you met Louis. Yes.Anjney Midha [00:35:19]: Yeah.Alex Atallah [00:35:19]: Okay.Anjney Midha [00:35:20]: So, that allowed users to like configure which model they wanted to use for a web page in their browser, and then, like the app would just call out to that model when it needed to do things. not the right form factor for LLMs, but, it's like fun experiment. You learn a lot, and like I open sourced it. And the main learning is like, okay, this has to be an API, and it has to look a little bit - like, there has to be more of a developer experience here and more of a discovery experience as well. Like, I don't know where to use these models, and a little Chrome extension is not gonna help me discover. It's not enough real estate. I need more space. I need visuals. I need graphs. I need, examples. I need images. I need to, like, I need to be able to, like explore both as a human and as an agent.Crypto, Midjourney, and the Early Generative AI EcosystemAlex Atallah [00:36:10]: Yeah.Anjney Midha [00:36:10]: So that's how OpenRouter came to be.Alex Atallah [00:36:13]: A meta point that.Alex Atallah [00:36:16]: I think is underappreciated, but Alex is reminding me, is that we were quite lucky that we were so. we were, like, adjacent to the crypto community in those days. Because in hindsight, crypto ended up being like a dress rehearsal for generative models, right? If you think about the Axie experience, Alex is totally right, there were not that many AI apps at the time. And while I was dealing-- my job was to be the head of platform at Discord, which meant to be a general purpose place for communities and friends to create-- for developers to create apps and bots and, other services that could be deployed across Discord. And while 80% of the attention at the time was being spent on crypto, because that's where all the NFT volume was, there was, like, twenty percent of my time I was spending with a friend, who would get hotbot with me and ask me for. We would play Magic: The Gathering on weekends, and he was working on a little Discord bot that could take a text input and turn it into an image, and it was called Midjourney. YouSwyx [00:37:15]: Is that David?Alex Atallah [00:37:15]: It was David Holz.Alex Atallah [00:37:16]: He was a good friend. And David and I have both been failed ARVR founders, in the before that. And, I remember this. Midjourney was one of the fastest-growing communities we had after Axie Infinity started to peter off. And many of the, like, the abstractions and the infrastructure decisions we made to scale Axie happened just in time because they. Axie did this and then fell off a cliff. And then as Midjourney was taking off, we, like, explicitly decided to help David make the server, the Midjourney server, as the primary place for interaction with the model, because it was very hard for people to understand how to use the model if they couldn't see other people using it and copy them. And so the single-player Midjourney web app on its own, like midjourney.com, had, like, terrible retention because people would show up, they'd see this empty field. It's like E 2, and they would type in, like, cat or dog. And it was, like, paralyzing for them to have this blank canvas that they had to fill because they'd never used an AI model before. But instead, in a Discord server, you could see other people using it and riff off of their prompt, and the engagement was off the charts. And so scaling, Midjourney from zero to, like, 10 million monthly actives was a much smoother approach Axie Infinity. And so,Swyx [00:38:29]: Don't forget the best of four pictures, and you choose one.Alex Atallah [00:38:31]: The best, yeah, and then the other, weSwyx [00:38:32]: Which is the feedback loop.Alex Atallah [00:38:33]: The RLHF feedback loop, which, by the way, separately, like, Tom Brown, David and I used to play Magic: The Gathering on weekends. And so, like, it was one group of friends would hang out, and we'd. Like, these concepts were all being discussed all the time. But, there was.Alex Atallah [00:38:47]: I think there were few of us who bridged both the crypto worlds and the AI worlds. And compared to crypto, where it was - the question was always, what's the use case, for this technology? There was never any need to ask that for AI because it's, like, the use case was so visceral. It was like, I can create now anything at - I can imagine. I can write novels, I can code. And the infrastructure that those of us who believed in the distributed systems, like, value of crypto, like the censorship resistance part, found this use case that was explosive. And I think between Midjourney, the, Claude was a Discord bot launch, that we were using internally as an LLM. ElevenLabs had a TTS model that we had on Discord as well. Like, Discord became this petri dish for, like, early apps to innovate. And I don't think it's a coincidence that they found a home there before OpenRouter gave the world, like, a public home store or, like, a, storefront. Discord was this, like, almost petri dish storefront that - had, like, piggybacked on the infra we'd built for crypto communities. And then I think Alex was one of the first people to realize, wait a minute, like, these apps need their own home, on the internet. And then OpenRouter, to me, was a continuation of that community's needs. And of course, there was the crazy distribution that you enabled for a lot of these developers.Why OpenRouter Couldn't Just Live Inside DiscordSwyx [00:40:07]: So then my question is, how come you were. My perception is OpenRouter is not that Discord-centric, right? You have a Discord.Anjney Midha [00:40:14]: Yeah.Swyx [00:40:14]: And you use it to engage your community, but it's not like Midjourney where, like, no, that is like the primary way people experience OpenRouter.Anjney Midha [00:40:21]: Yeah, Midjourney, like, it really helps to see visually really quickly how people are using the model and how to prompt it.Swyx [00:40:29]: Yeah.Anjney Midha [00:40:29]: And I think that is partly why the server was so critical. It's like it is the user experience. It adds a ton.Swyx [00:40:36]: Yes.Anjney Midha [00:40:37]: And you can go the whole mile with just, like, prompting via Midjourney, like, the, via the Midjourney Discord server, getting your images and then sharing them and having fun. For OpenRouter, for LLMs, like, you need a lot of user experience around LLMs to make them, like, really usable.Swyx [00:40:54]: Charge point.Anjney Midha [00:40:55]: And yeah.Anjney Midha [00:40:57]: The, like, seeing the examples of other people is also not as useful because it's a lot of stuff to read. It takes a long time.Swyx [00:41:03]: Yeah.Anjney Midha [00:41:04]: You need, like, based integration. Not possible to do in a Discord server. You need, Or technic- it's possible. I shouldn't say that. It's just not a great developer experience. you need, like, - you need governance for. At the point where you got based integration, now you need governance for managing the LLMs that have access to it, the data policies, which teams. All that stuff needs a lot more than a Discord server can provide. So it's justSwyx [00:41:30]: YeahAnjney Midha [00:41:30]: It's not the right.Alex Atallah [00:41:32]: Well, in addition, you're not wrong, but also there's the very important distinction that, Midjourney was an end user application.Swyx [00:41:40]: Right.Alex Atallah [00:41:40]: And, that's why Discord, which has 250 million monthly end consumers, made, it made sense for Discord to be a host for that application experience. What I knew was gonna happen soon after Midjourney found explosive product-market fit, because we. I think when Midjourney launched, from launch to $100 million revenue run rate, it was less than eight months. And shortly thereafter, Stable Diffusion launched. And, all of us used to hang out in the Discord server. There, I think it was the,Swyx [00:42:13]: The Stability Discord?Alex Atallah [00:42:14]: It was theSwyx [00:42:16]: Yeah, LAION.Alex Atallah [00:42:16]: Yeah, the LAION Discord server.Swyx [00:42:17]: The image community that spawned Stable Diffusion.Alex Atallah [00:42:19]: The image community. Yeah. And so when Stable Diffusion came out, I realized- Oh, now other people can build their own Midjourney.Alex Atallah [00:42:27]: Because until then, Midjourney did not have an API, so they were a stack company, right? They were training their own models, and they were deploying them as an application. But if you wanted to build your own Midjourney, there was no API of that quality. and I think E two was still quite primitive. Like, Midjourney had great quality. And then when Stable Diffusion came out, suddenly there was this new person who - there was - this new capability in the world, which is a developer could create their own Midjourney. And that, I think, created the need for something like OpenRouter, because then you need an API to. If you - if you had the creativity of David Holz and you had Stable Diffusion as the model and you wanted to put these things together, how could you do that without having to figure out how to host the weights? And what OpenRouter, - the shape of OpenRouter enabled is that. Right? When you have open model alternatives to closed applications, OpenRouter's value in the world becomes extraordinary because now any developer can just show up and use theStable Diffusion and the Need for a Model API LayerSwyx [00:43:20]: You just love model diversity.Anjney Midha [00:43:21]: Did you just say the shape of OpenRouter?Alex Atallah [00:43:23]: Oh, no.Anjney Midha [00:43:25]: Were you in cloud? What is this the real Han?Alex Atallah [00:43:26]: I've been, I've been - I'm, I'm misaligned now. I've been overtrained. I've been using Cloud way too much, haven't I?Swyx [00:43:34]: Claude-ish is what people would say.Alex Atallah [00:43:35]: Claude-ish. Oh, God, I gotta untrain myself.Swyx [00:43:38]: Okay. - And I just wanna cap off the Mistral side. my TLDR is there was a Mistral price war, is what they called it, right? Like, round about NeurIPS is twenty-three or twenty-four.Mistral and the Birth of the Inference MarketplaceAnjney Midha [00:43:47]: Yes. DecemberSwyx [00:43:48]: They launched, the Mistral 8x7B, and like the price went down like 80%.Anjney Midha [00:43:54]: Yeah.Swyx [00:43:54]: To me, that's very positive because it's like the first, like, real competition to host Mistral. Is there more?Anjney Midha [00:44:01]: Yeah, that was. I'm, like, trying to remember it, all the things that happened. It. Like, we saw that model come out and immediately saw people say that it was the best model in the world.Alex Atallah [00:44:15]: Yes.Anjney Midha [00:44:15]: Like, this was, to my knowledge, the first time an open weights model was called that in real seriousness.Swyx [00:44:22]: It's hype, right? Is it?Anjney Midha [00:44:25]: It was hype. It was hype. It was also, like, hype from AI influencers at the time. And there were many examples where it was, like, outperforming four. So people really wanted to try it out and see, is this gonna be true for me too? And if so, at what price? And, the, like, inference landscape was really messy.Alex Atallah [00:44:49]: Yes.Anjney Midha [00:44:50]: We cleaned it up. - it allowed, like, providers to compete on price, so we could give you just the best price in one spot. And so it was, I think, the first clear example of, like, a provider marketplace working in a way that adds value to end developers.Alex Atallah [00:45:08]: Sean, you may not remember this, but I think we met for the first time a few days after Mistral came out at NeurIPSAnjney Midha [00:45:15]: Yeah.Alex Atallah [00:45:15]: At a luncheon.Swyx [00:45:16]: Yeah. That's where I also met BFL as well. Yeah.Alex Atallah [00:45:18]: And Guillaume was there.Swyx [00:45:19]: Yeah.Anjney Midha [00:45:19]: I was at NeurIPS at that time.Alex Atallah [00:45:20]: You were there too. And, we had just announced the Mistral investment, and I remember Guillaume was over there, and I remember turning to Guillaume and asking him, Like, “Is it is all the. Like, how are you feeling after the launch of Mistral and seven B?” And, him in his typical French fashion was like, “ it's a, it's an okay model. It's not that good.” And I was like. It was so, in contrast. But I remember him also saying that part of the reason he felt a lot of people Thought that it was better than four was because of the speed. - it was an MoE model that they had, like, absolutely figured out how to make super efficient. It was on the Pareto frontier. And this is an important thing about LLMs, right? Sometimes when they're faster, you think they're smarter, even though, like, if you did, N of, these common, like, evals that are - you do seven tries, and I don't remember. I think we should go back and figure out what the data says, but I wouldn't be surprised if it turns out, oh, on an N of seven attempts, four was smarter on evals, but the perception of on, like, or correctness would be smarter or more accurate. But, people, like, from a human preference perspective felt that it was faster because it - or smarter because it's so fast.Swyx [00:46:36]: Yeah. And most queries do not take that levelAlex Atallah [00:46:39]: Don't take that. That's true.Swyx [00:46:40]: Right? So this is the start of humans as routerAlex Atallah [00:46:42]: Yes.Swyx [00:46:42]: Which then eventually becomes OpenRouter as router of like theAlex Atallah [00:46:45]: Oh, that's interesting way to think about it. Yeah.Swyx [00:46:47]: Like, because humans are the routing mechanism. Like, I will ask the fast model first, and then if, like, oh, not good enough, I'm gonna upgrade manually.Alex Atallah [00:46:52]: Yes.Swyx [00:46:53]: But then he's gonna auto it.Alex Atallah [00:46:54]: I didn't, I hadn't thought of it that way, but that makes sense.Swyx [00:46:57]: Which then there's, there's a lot more techniques, like fusion. Fusion is the thing that we should talk about. Before I move on to those things, I just want to close off the early years. one thing that I observe, which you are also an investor in Arena.OpenRouter vs. LM ArenaAlex Atallah [00:47:10]: Right.Swyx [00:47:10]: And we talked about Midjourney having that feedback loop of, A, B, C, D, and choosing that very. being very important. And you understand the flywheel. So how come you didn't build Arena, and how come Arena didn't build OpenRouter?Anjney Midha [00:47:23]: Well, Arena started before OpenRouter, right?Swyx [00:47:27]: They had the school projectAnjney Midha [00:47:29]: Yeah, LMSwyx [00:47:29]: And then it became a company.Anjney Midha [00:47:31]: LM Arena, yeah.Swyx [00:47:32]: So, but, and I know you had some Arena experiences, like the up comparison type things.Anjney Midha [00:47:37]: Yeah.Swyx [00:47:37]: But you never really went as hard as Arena did.Swyx [00:47:40]: And,Anjney Midha [00:47:40]: In doing up experiences?Swyx [00:47:42]: Yes. And LM Arena did have a router project based on LM Arena ELOs, which they never commercialized.Anjney Midha [00:47:48]: It's hard to do a company that does both because one company is taking data and selling it, and the other company really can't by default. So, I think there is, like, a branding reason that there are two companies here. like, when you set up OpenRouter, there's no training, there are no prompts, right, aside from what your provider policy set. Like, OpenRou- like, OpenRouter can't see your prompts or completions. If you want to see that as an org, you have to opt into it and enable it. And so we're, like, pretty conservative and careful about data policy and security. And privacy. And LM Arena is like, their business model is like oriented around the labs and,Swyx [00:48:34]: Because they give it for free, right? You don't give it for free to give it for free.Anjney Midha [00:48:37]: Yeah.Anjney Midha [00:48:38]: But we do give some. We like have free endpoints too, but like those free endpoints, we, I think we're not collecting any prompts. We're not like monetizing the data unless you, opt into it for some reason.Alex Atallah [00:48:48]: This comparison. you're not the first person to ask me this, and Alex knows this, but I was the interim, like the founder, like first CEO of Arena for the first five months when, and we were helping Anastasios and Waylin spin out of Berkeley. And, I did invest in that before, OpenRouter, but it was very strange to me the comparisons that outside, folks would make between the two projects because the missions were completely different. The founding entity for Arena, we called it the AI Reliability Institute because it was there as an eval service. Like the data, so to speak, that they were originally, offering the labs was how do you make the evaluation of models more reliable than like the state of the art at the time, which was like really just finger in the wind.Alex Atallah [00:49:38]: That's what Anastasios and Waylin's PhD work was as scientists at Berkeley, was on statistical methodologies for correcting, eval estimates, based on like intrinsic biases and how you collected the data.Swyx [00:49:54]: Yes.Alex Atallah [00:49:54]: AndSwyx [00:49:54]: Style control.Alex Atallah [00:49:55]: Style control and stuff like that. And which is very much like a, hey, how. If you're a scientist and you're trying to. the highest expectation customer for Arena was always like a training and, like a researcher at a lab. Whereas the highest expectation customer from my perspective that Alex like really understood and was the mission was to serve was like a developer, right? Who then takes the result of the research and then produces an application that's deployed to the world. It was a completely different problem and person that these two teams were focused on. And so from the outside in. I don't know if you remember this, but I have a distinct memory of a few weeks before we did the term sheet, together for OpenRouter, I'd given you a call because we were trying to get a pooled data set together from OpenRouter and from Arena to, create like an open source repository of prompts. these projects were so different in their goals that it was totally normal to me to be like, “Oh, yeah, let's call Alex and see if he'd want to team up on pooling data,” because they're so different. We need. We don't have that data at all. We. Like, we didn't have API prompts. We didn't, we didn't have like what developers want to do with the models, which is very different from what researchers inside a model lab want to do before releasing the model.Swyx [00:51:15]: Yeah.Alex Atallah [00:51:15]: Does that make sense? And so to this day, I think you see that this difference, even though at a 30,000-foot level you could. I guess you could conclude that Arena and OpenRouter are adjacent, but, the roadmaps, the missions and so on at the time at least were like in very different directions.Swyx [00:51:36]: That ideal customer, I get. I totally get that.Alex Atallah [00:51:39]: Yes.Swyx [00:51:39]: As a founder, I want to own everything, right?Alex Atallah [00:51:41]: That's possible.Swyx [00:51:42]: Like this is clearly an adjacency that I'm like gonna explore that.Anjney Midha [00:51:45]: Own everything meaning like you don't know what to do yet, so you wanna like make sure you catch PMFocus, Anthropic, and Roads Not TakenAlex Atallah [00:51:51]: No, I think what heAnjney Midha [00:51:52]: As quickly as possible.Alex Atallah [00:51:53]: You want to own the entire infrastructure space, and so you expand to whatever demand you can capture.Swyx [00:51:58]: You want to have a play in each end.Alex Atallah [00:51:59]: Yeah, I think that's, that's hard, in reality, because serving multiple customers is difficult.Swyx [00:52:05]: Clearly, this is the one focus, right?Alex Atallah [00:52:08]: Yeah.Anjney Midha [00:52:08]: Yeah. I still think even in the age of AI, like focus is,Alex Atallah [00:52:12]: Is criticalAnjney Midha [00:52:13]: Underrated and critical, not just because you end up with a better product by focusing your humans on it, but also because the world knows what your focus is.Alex Atallah [00:52:22]: One thousand percent.Anjney Midha [00:52:23]: The world can map like, “Oh, I have this issue. Which brand out there is going to help me with that issue? This is the brand that's known for that focus.”Alex Atallah [00:52:31]: Yes.Anjney Midha [00:52:32]: So like if I want real attention on this issue, like this really matters to me, I should go with the brand that cares the most about it.Alex Atallah [00:52:39]: To underscore Alex's point about how important focus is, in the early days of Anthropic, it was not easy to. Like people think that the early days of Anthropic were like super easy because they were on their 3 guys who left, but it was very

Some Kiwi Classic Car lovers have reached the top of the leader board in a global drive to raise funds for Men's health. The Distinguished Gentleman's Drive is on this Sunday. More than 200 drives are planned around the world - seven in New Zealand. But it's the event, Dapper Drive, in Wairarapa that's leaving others in the dust. Organiser Malcolm Fleming spoke to Lisa Owen. 

Welcome to THE LEADERBOARD, featuring live-money contest talk proudly sponsored by TwinSpires, the official wagering provider of Churchill Downs, Inc. Each week, we'll give a recap of the biggest TS contest last Saturday, and preview this upcoming weekend's feature TS contest, along with leaderboard info. and contest plays / strategy from some of the smartest players in the game that are guaranteed to make you a better gambler.This week, we recap the 9/19 contest and preview the 9/26 $1k CD contest with KFC / BCBC seats on the line!_____________________________________________________________________________________________Subscribe to the excellent, informative and profitable "Power Picks" Tip Sheet! Please go to: https://www.patreon.com/hhhracingpodcastFantastic ABC P4 and P5 grids, along with Spot Plays and Price Plays provided that hit close to 35% in 2025 and an OVERALL ROI of $2.05 (national average is $1.60). Picks arrive via email every Sat. morning for that day's races. Purchase your Power Picks NOW and make 2026 and beyond your best handicapping years ever! RECEIVE A DISCOUNT IF YOU SUBSCRIBE YEARLY INSTEAD OF MONTHLY!!__________________________________________________________________________________________________Montage Info:Track: Brian Rian Rehan - DarkMusic provided by Brian Rian RehanFree Download / Stream: https://music.brianrianrehan.com/Dark_________________________________________________________________________________________________#horseracing #horseracingtips #gambling #fanduel #gradedstakes #adelphi #fanduel #nyra #breederscup #saratoga #twinspires #churchilldowns @fairgrounds ##oaklawnpark #travers #nhc #bcbc Keeneland Live RacingWoodbine Live RacingChurchill Downs Live RacingGulfstream Park Live RacingSaratoga Live RacingHaskell Live RacingLaurel Park Downs Live RacingMonmouth Park Live RacingSanta Anita Live RacingChurchill Downs Live RacingChurchill Downs at Aqueduct Live RacingAqueduct Live Racing

In this candid episode of the Wellness Pro Show, Cate Stillman sits down with Brenda Rigney — former COO of an $80M business turned company-of-one entrepreneur, founder of SKOOL Scale Camp, and one of the most successful summit hosts on the SKOOL platform — for a deep-dive conversation on how to build a genuinely location-independent business without losing revenue or engagement. Brenda walked away from a corporate role trending toward a $500K solo business to intentionally rebuild everything around a different question: What if my business revolved around my life instead of my life revolving around my business? The answer became SKOOL Scale Camp — a freemium community that has grown to over 13,000 members across two brands, generates $55K summits in 2 months, and runs entirely from wherever Brenda happens to be in the world (currently Northern France, previously Spain, next stop London). Cate mirrors the parallel arc from her own 25-year online business journey — from HD Conference calls in 2001, through the launch of her own summit in 2015, to running Yogahealer, Club Thrive, and Wellness Pro Academy on SKOOL today. Together, they unpack what has genuinely shifted for wellness pros and online entrepreneurs, and where the leverage now lives. Together, Cate and Brenda explore: The Summit-as-Traffic-Engine: How Brenda's June 2025 launch summit brought 950 people into her community — and how her October and November summits collectively brought in 9,000 members and $55K in revenue Why SKOOL Won This Round: The specific engineering choices, funding, and forum-first UX that make SKOOL the current gold standard for community engagement — and why underfunded LMS platforms quietly decay over time The Three Revenue Streams of a Freemium Community: Sponsored speaker slots ($150-$575), premium/VIP membership tiers, and standalone high-ticket coaching packages — and how they compound without adding complexity The 60% VIP Discount Play: How Brenda structured monthly premium at $49 vs. annual VIP with 60% savings — and why the math still works even when accounting for monthly churn Onboarding Over Courses: Why creating more content is the biggest waste of time for community owners in the age of AI — and what to build instead (challenges, leaderboard gamification, live sessions turned into micro-courses) The Leaderboard as Conversion Signal: How gamification isn't about competition — it's a diagnostic for identifying which members are actually ready to buy Free vs. Paid Community Design: Why giving away too much for free is the #1 reason freemium models fail — and the "2% of the cake" rule for what to put in free vs. paid tiers The AI + One Human Team: Brenda's actual team stack — one longtime creative director (10-15 hours a month for integration work) plus a Claude-powered content team, growth strategist, and AI-first workflows Why Small Doesn't Mean Slow: How a $9 offer sold to a warm community of 13,000 can generate $5,000 in a single day — and why volume is now a viable path alongside high-ticket for the right personality The Speaker Recruitment Framework: How Brenda gets 75+ speakers per summit by starting with 1-2 anchor speakers and letting the network snowball — plus her "must reach Level 5 in the community" contingency This episode is a practical, honest look at what actually works for solo wellness pros, coaches, and mid-career women entrepreneurs building sustainable businesses in the era of AI and community platforms — without burning out chasing scale. Notable Quote: "It used to be like, when I do a summit, I have to be at home with all my stuff — camera, lights, all this. Now I'm like, why am I here? I could be in Paris running a summit. I could be in London running a summit. That's where this whole business model came for me. Not from scarcity — from abundance. I want my business to revolve around my life." Connect with Brenda Rigney: Website: brendarigney.com Community: SKOOL Scale Camp (free to join on SKOOL) Connect with Cate Stillman: Website: wellnesspro.academy Podcast: Wellness Pro Show Books: Body Thrive, Master of You, Primal Habits, Uninflamed Referenced in this episode: SKOOL (community platform) Sam Ovens (SKOOL founder) Alex Hormozi (referenced) Claude AI (Brenda's primary AI content team) MailChimp, Stripe integrations Meta Ads for summit promotion If you're a wellness pro, coach, or mid-career entrepreneur wondering whether it's actually possible to build a real business that funds a location-independent life, this conversation is a working example — from two women who've done it, at different scales, with completely different offer stacks.

Welcome to THE LEADERBOARD, featuring live-money contest talk proudly sponsored by TwinSpires, the official wagering provider of Churchill Downs, Inc. Each week, we'll give a recap of the biggest TS contest last Saturday, and preview this upcoming weekend's feature TS contest, along with leaderboard info. and contest plays / strategy from some of the smartest players in the game that are guaranteed to make you a better gambler.This week, we recap the 9/12 contest and preview the 9/19 $1k CD contest with BCBC seats on the line!_____________________________________________________________________________________________Subscribe to the excellent, informative and profitable "Power Picks" Tip Sheet! Please go to: https://www.patreon.com/hhhracingpodcastFantastic ABC P4 and P5 grids, along with Spot Plays and Price Plays provided that hit close to 35% in 2025 and an OVERALL ROI of $2.05 (national average is $1.60). Picks arrive via email every Sat. morning for that day's races. Purchase your Power Picks NOW and make 2026 and beyond your best handicapping years ever! RECEIVE A DISCOUNT IF YOU SUBSCRIBE YEARLY INSTEAD OF MONTHLY!!__________________________________________________________________________________________________Montage Info:Track: Brian Rian Rehan - DarkMusic provided by Brian Rian RehanFree Download / Stream: https://music.brianrianrehan.com/Dark_________________________________________________________________________________________________#horseracing #horseracingtips #gambling #fanduel #gradedstakes #adelphi #fanduel #nyra #breederscup #saratoga #twinspires #churchilldowns @fairgrounds ##oaklawnpark #travers #nhc #bcbc Keeneland Live RacingWoodbine Live RacingChurchill Downs Live RacingGulfstream Park Live RacingSaratoga Live RacingHaskell Live RacingLaurel Park Downs Live RacingMonmouth Park Live RacingSanta Anita Live RacingChurchill Downs Live RacingChurchill Downs at Aqueduct Live RacingAqueduct Live Racing

Reuters findet zehn weitere Seiten, auf denen OpenAIs Agenten kommuniziert haben, Sam Altman zeigt sich intern offen für einen Slowdown, und ein Anthropic-Forscher kündigt mit der Begründung, die Branche spiele mit unserem Leben. David Sacks fordert daraufhin, den Anthropic-Börsengang zu stoppen. Anthropic selbst veröffentlicht ein Modell, das die Wirtschaft bis 2030 durchrechnet, und OpenAI holt Paul Christiano in den Stiftungsrat. Meta bringt Muse, einen Agenten, der Mails beantwortet und Flüge bucht, und nimmt dafür einer Rockband den Instagram-Account. Cognition und Harvey sammeln Milliarden ein, Andrew Tulloch verlässt Meta nach elf Monaten. DeepSeek liefert ein neues Effizienzmodell, während Anthropic und US-Behörden erklären, wie chinesische Labore Claude ausgelesen haben. Dazu: die DOJ-Prüfung des Groq-Deals, Microsofts 38 Gigawatt, SpaceX bremst, Grok empfiehlt die AfD, und Trump verspricht 5.000 Dollar. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Apple-Keynote (00:10:02) Siri Recap (00:18:53) iPhone Duo (00:24:54) OpenAIs Agenten (00:26:43) Altman und der Slowdown (00:27:56) Coxon kündigt (00:40:20) DeepMind-Maulkorb (00:41:21) Anthropics Wirtschaftsmodell (00:51:56) Christiano bei OpenAI (00:53:02) Meta Muse (01:00:55) ChatGPT Images 2.5 (01:02:06) Cognition (01:03:20) Harvey (01:04:42) Tulloch verlässt Meta (01:10:22) Kienle-Doku (01:11:13) DeepSeek V4.1 Flash (01:12:30) Destillation (01:15:38) Bitkom-Umfrage (01:15:58) DOJ prüft Groq-Deal (01:16:56) Leaderboard umgebaut (01:17:46) 200-Dollar-Accounts gestoppt (01:20:04) Microsoft 38 Gigawatt (01:20:43) SpaceX bremst (01:21:27) Grok und die AfD (01:24:14) Trumps Dividende Shownotes Apple verlangt 1.999 Dollar für das faltbare iPhone Duo - ft.com OpenAI-Agenten nutzten mindestens zehn weitere Seiten für unerlaubte Kommunikation - reuters.com OpenAI fragt den Kongress, ob ein Branchen-Slowdown überhaupt legal wäre - wired.com Anthropic-Forscher Jacob Coxon kündigt und warnt vor selbstverbessernder KI - wsj.com OpenAI räumt den Wiki-Vorfall ein und arbeitet an einem Melde-Rahmenwerk - techcrunch.com Ex-DeepMind-Sprecher: Forscher durften nicht über existenzielle Risiken sprechen - the-decoder.de Anthropic baut ein Modell für die wirtschaftlichen Folgen von KI - npr.org Paul Christiano geht in den OpenAI-Stiftungsrat - ft.com Meta-Aktie steigt nach Vorstellung des Muse-Agenten - marketwatch.com ChatGPT Images wird schneller und behält Gesichter über mehrere Bearbeitungen - siliconangle.com Cognition bei 48 Mrd. Bewertung, KI-Coding kein Winner-take-all-Markt - techcrunch.com Harvey erreicht 15,6 Mrd. Bewertung mit 550-Mio.-Runde - bloomberg.com Star-Forscher Andrew Tulloch verlässt Meta - wsj.com Skandal um Oldtimer: der tiefe Fall des Klaus Kienle (SWR Doku) - youtube.com DeepSeek V4.1 Flash senkt den Speicherbedarf für KI-Agenten - the-decoder.de Anthropic dokumentiert Destillationskampagnen von Alibaba, Moonshot und DeepSeek - techcrunch.com NSA, CISA und FBI warnen vor KI-Wissensabfluss nach China - heise.de Bitkom: KI aus China ist für die deutsche Wirtschaft kein Thema - bitkom.org Justizministerium prüft Nvidias 20-Mrd.-Lizenzdeal mit Groq - bloomberg.com Der Artificial-Analysis-Index wurde in einer Woche dreimal umgebaut - techtimes.com OpenAI pausiert den 200-Dollar-Pro-Plan wegen der Astra-Nachfrage - x.com Microsoft will 26 Gigawatt Rechenkapazität zubauen - bloomberg.com SpaceX baut sein Rechenzentrumsprogramm um und bremst die Expansion - theinformation.com Grok empfiehlt die AfD für die Berlin-Wahl - linkedin.com Trump verspricht jedem Erwachsenen 5.000 Dollar Dividende - ft.com

No movie review this week because Izzy can't even show up on time. With an empty chair to fill, Gibbs and Mox do the responsible thing and spend the opening of the episode talking shit about him while he's gone.Gibbs brings yet more stories from his ongoing battle with Los Angeles traffic, before the boys take a look at some of the latest changes to the world map and try to keep track of what the hell is happening around the globe.Mox also discovers one of the stranger ways to analyze the Counter-Strike community: a leaderboard tracking which players are dropping the most slurs. Izzy eventually arrives, but by then the movie review is a lost cause. So, bonus episode it is.Support us on Patreon!

Welcome to THE LEADERBOARD, featuring live-money contest talk proudly sponsored by TwinSpires, the official wagering provider of Churchill Downs, Inc. Each week, we'll give a recap of the biggest TS contest last Saturday, and preview this upcoming weekend's feature TS contest, along with leaderboard info. and contest plays / strategy from some of the smartest players in the game that are guaranteed to make you a better gambler.This week, we recap the 9/5 contest and preview the 9/12 $1k CD contest with BCBC, NHC, and cash on the line!!_____________________________________________________________________________________________Subscribe to the excellent, informative and profitable "Power Picks" Tip Sheet! Please go to: https://www.patreon.com/hhhracingpodcastFantastic ABC P4 and P5 grids, along with Spot Plays and Price Plays provided that hit close to 35% in 2025 and an OVERALL ROI of $2.05 (national average is $1.60). Picks arrive via email every Sat. morning for that day's races. Purchase your Power Picks NOW and make 2026 and beyond your best handicapping years ever! RECEIVE A DISCOUNT IF YOU SUBSCRIBE YEARLY INSTEAD OF MONTHLY!!__________________________________________________________________________________________________Montage Info:Track: Brian Rian Rehan - DarkMusic provided by Brian Rian RehanFree Download / Stream: https://music.brianrianrehan.com/Dark_________________________________________________________________________________________________#horseracing #horseracingtips #gambling #fanduel #gradedstakes #adelphi #fanduel #nyra #breederscup #saratoga #twinspires #churchilldowns @fairgrounds ##oaklawnpark #travers #nhc #bcbc Keeneland Live RacingWoodbine Live RacingChurchill Downs Live RacingGulfstream Park Live RacingSaratoga Live RacingHaskell Live RacingLaurel Park Downs Live RacingMonmouth Park Live RacingSanta Anita Live RacingChurchill Downs Live RacingChurchill Downs at Aqueduct Live RacingAqueduct Live Racing

It's last chance qualifying weekend for 2026 DEKA World Championships and this week's episode has all the info you need to know including: Understanding the leaderboard and where you need to be in order to get an invite to world championshipsAdvice for how to make the most of your race weekend and achieve the results you wantMy thoughts on when to get a coach or when it is time to change coachesTo work with me via online personal training click here. Follow me on Instagram and Facebook!

Comment utiliser le jeu pour former les professionnels de santé sans perdre de vue les objectifs pédagogiques ?Dans l'épisode 21 de Sim Moove, Fouad Marhar reçoit Garry Laudren, psychologue social, infirmier anesthésiste, ingénieur ludopédagogique, formateur et coordinateur paramédical de la recherche.La ludopédagogie ne consiste pas simplement à rendre une formation plus amusante. Elle utilise les mécanismes du jeu pour favoriser l'engagement, la coopération, la prise de décision et l'apprentissage actif.Encore faut-il partir de l'objectif pédagogique plutôt que du jeu que l'on aimerait utiliser. Un escape game spectaculaire, rempli de cadenas, d'énigmes et de lumière noire peut être très divertissant… sans nécessairement produire l'apprentissage recherché.L'épisode aborde notamment :• la définition de la ludopédagogie en santé ;• les différences entre jeu pédagogique, serious game, gamification et simulation ;• la place du plaisir, des émotions et de la motivation dans l'apprentissage ;• la conception d'un escape game pédagogique ;• l'utilisation du jeu pour développer la communication et le travail en équipe ;• le choix de mécaniques de jeu adaptées aux objectifs de formation ;• les erreurs fréquentes lors de la conception d'une activité ludopédagogique ;• l'importance du briefing et du débriefing ;• l'évaluation scientifique des dispositifs fondés sur le jeu ;• la manière de tester et d'améliorer une activité avant son déploiement.Garry Laudren revient également sur la conception d'un escape game destiné aux équipes de médecine d'urgence. Cette démarche repose sur plusieurs étapes : constituer une équipe de conception, déterminer les objectifs pédagogiques, transformer ces objectifs en mécaniques de jeu, identifier les ressources nécessaires, construire le briefing et le débriefing, puis tester le dispositif.Le jeu ne remplace donc ni l'ingénierie pédagogique ni la simulation. Il constitue une modalité supplémentaire permettant de créer un environnement dans lequel les participants peuvent explorer, collaborer, se tromper et recevoir un retour sur leurs actions.Le jeu peut réunir ces conditions, à condition que sa conception reste alignée avec l'apprentissage attendu.Une activité ludique réussie n'est pas celle qui fait seulement dire aux participants : « C'était vraiment sympa. » C'est celle qui leur permet aussi de comprendre ce qu'ils ont appris et comment ils pourront le réutiliser dans leur pratique.Un épisode destiné aux formateurs en simulation, professionnels de santé, ingénieurs pédagogiques et responsables de centres qui souhaitent intégrer le jeu, la gamification ou les escape games dans leurs formations.Sim Moove est un podcast consacré à celles et ceux qui font vivre la simulation en santé.Une émission animée par Fouad Marhar.P.S. Cadeau de notre invité, de la lecture, des refsBrougère, G. (2005). Jouer / Apprendre. Paris: Économica.Caillois, R. (1958). Les jeux et les hommes. Gallimard.Goffman, E., & Joseph, I. (2009). Les cadres de l'expérience. Paris: de Minuit.Henriot, J. (1989). Sous couleur de jouer : La métaphore ludique. Paris: J. Corti.Laudren, G., & Niggel, A. (2024). Ludopédagogie en santé. VuibertLe Breton, R. (2018). Design narratif : Scénario et expérience de jeu. Sauvé, L., & Kaufman, D. (Éd.). (2010). Jeux et simulations en éducatifs : Études de cas et leçons apprises. Québec, Québec: Presses de l'Université du Québec.Nous y ajoutons volontierIngrassia, P.L., Franc, J.M. & Carenzo, L. A novel simulation competition format as an effective instructional tool in post-graduate medical education. Adv Simul  2018Actionable Gamification: Beyond Points, Badges and Leaderboards, Yu-kai Chou

AI could be bigger than electricity.Anastasios Angelopoulos is seeing that shift firsthand, with Arena ranking 500+ models and tracking roughly 10 new releases every week.On Grit, he explains why there may never be one dominant AI model and why the API layer may be less sticky than people think.Guest: Anastasios Angelopoulos, Co-Founder and CEO of ArenaConnect with Anastasios AngelopoulosXLinkedIn Connect with MamoonXLinkedInConnect with Joubin:XLinkedInEmail: grit@kleinerperkins.comFollow Grit: LinkedInX​Learn more about Kleiner Perkins

Mark Grote and Gabe Ramirez discussed a variety of sports topics in the 5 On It segment.

In this episode we're ranking the staples of sidekick. Now, don't go to sleep on this, because these staples are what makes "sidekick" be able to be your full presentation software. It's no longer another software's little brother, this is able to function as your entire church software for an entire youth ministry program, and I'm giving you the honest breakdown! Welcome everybody, to the Hybrid Ministry Show SEASONAL SOCIAL MEDIA: https://www.patreon.com/collection/1470781?view=expanded SIDEKICK ACCESS: https://www.sidekick.tv SHOW NOTES Shownotes & Transcripts https://www.hybridministry.xyz/217 [FREE] HYBRID STRATEGY GUIDE https://www.patreon.com/posts/complete-guide-142500019?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link

Welcome to THE LEADERBOARD, featuring live-money contest talk proudly sponsored by TwinSpires, the official wagering provider of Churchill Downs, Inc. Each week, we'll give a recap of the biggest TS contest last Saturday, and preview this upcoming weekend's feature TS contest, along with leaderboard info. and contest plays / strategy from some of the smartest players in the game that are guaranteed to make you a better gambler.This week, we recap the 8/29 SSBC contest and preview the 9/5 $2500 SSBC "King of the Turf" contest with BCBC, NHC, and cash on the line!!_____________________________________________________________________________________________Subscribe to the excellent, informative and profitable "Power Picks" Tip Sheet! Please go to: https://www.patreon.com/hhhracingpodcastFantastic ABC P4 and P5 grids, along with Spot Plays and Price Plays provided that hit close to 35% in 2025 and an OVERALL ROI of $2.05 (national average is $1.60). Picks arrive via email every Sat. morning for that day's races. Purchase your Power Picks NOW and make 2026 and beyond your best handicapping years ever! RECEIVE A DISCOUNT IF YOU SUBSCRIBE YEARLY INSTEAD OF MONTHLY!!__________________________________________________________________________________________________Montage Info:Track: Brian Rian Rehan - DarkMusic provided by Brian Rian RehanFree Download / Stream: https://music.brianrianrehan.com/Dark_________________________________________________________________________________________________#horseracing #horseracingtips #gambling #fanduel #gradedstakes #adelphi #fanduel #nyra #breederscup #saratoga #twinspires #churchilldowns @fairgrounds ##oaklawnpark #travers #nhc #bcbc Keeneland Live RacingWoodbine Live RacingChurchill Downs Live RacingGulfstream Park Live RacingSaratoga Live RacingHaskell Live RacingLaurel Park Downs Live RacingMonmouth Park Live RacingSanta Anita Live RacingChurchill Downs Live RacingChurchill Downs at Aqueduct Live RacingAqueduct Live Racing

AGENDA:  00:00 NVIDIA Launches a Three-Deal Blitz Across the AI Stack 04:31 NVIDIA's $12BN Poolside Deal Exposes Frontier AI's Capital Wall 15:39 NVIDIA Moves to Back Mercor at $20BN and Perplexity at $30BN 26:55 OpenAI Confirms 2027 IPO as Anthropic Seizes the Lead 40:42 Hugging Face Draws $13BN Takeover Interest as Open Models Boom 44:56 Citadel Cashes Out 80% of Its Leopold Aschenbrenner AI Trade 51:51 AI Boom Is "Less Than One-Third Over"—But Token Addiction Has a Price 01:04:07 Stripe Reaccelerates to 41% as AI Reshapes Software's Leaderboard 01:07:45 Instinct Security Scare Exposes Why AI Agents Still Cannot Be Trusted 01:23:55 VCs Name AI's Biggest Bubbles: Support, Defense, Humanoids and Roll-Ups  

I tried every sidekick feature, and I'm giving you the honest low-down. Each week we'll be ranking and ultimately crowning a favorite from 4 categories, and this week the category is: “Returning Legends.” Welcome everybody, to the Hybrid Ministry Show SEASONAL SOCIAL MEDIA: https://www.patreon.com/collection/1470781?view=expanded SIDEKICK ACCESS: https://www.sidekick.tv SHOW NOTES Shownotes & Transcripts https://www.hybridministry.xyz/216 [FREE] HYBRID STRATEGY GUIDE https://www.patreon.com/posts/complete-guide-142500019?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link

Hour 3 of The Mark Reardon Show begins with Duane Patterson, with HotAir.com and Host of Duane's World Podcast, who joins the show to discuss the Lindsay Clancy murder trial, as well as all things political. Frank Miele, Retired Editor of The Daily Inter Lake in Montana and Columnist for Real Clear Politics, joins the show to discuss his latest piece that it headlined "Mr. President, Sometimes Silence is Golden." We round out the show with Dan Reardon, KMOX Golf Correspondent, who joins the show to discuss the leaderboard at the 2026 Tour Championship in Atlanta. We finish with the Audio Cut of the Day!

Rolf Pfeiffer, experienced business leader, board chair, executive coach and PhD candidate, explores how leaders can exercise judgement when every available choice has a downside. Drawing on leadership experience, research, and art, he examines why we search for certainty, how to navigate genuine trade-offs, when to stop analysing and start acting, and why awareness and reflection can matter as much as experience. The key takeaway: effective leadership under uncertainty may depend less on finding the perfect choice and more on knowing what can be analysed, what requires judgement, and when we know enough to act.This conversation is the fourth episode of the nine-part series Beyond the Old Playbook, featured in the Exploring Leaders Podcast by Digoshen.Welcome to also read the related blogpost: When There Is No Perfect Choice 

Welcome to THE LEADERBOARD, featuring live-money contest talk proudly sponsored by TwinSpires, the official wagering provider of Churchill Downs, Inc. Each week, we'll give a recap of the biggest TS contest last Saturday, and preview this upcoming weekend's feature TS contest, along with leaderboard info. and contest plays / strategy from some of the smartest players in the game that are guaranteed to make you a better gambler.This week, we recap the 8/22 contest and preview the 8/29 $3500 SSBC with NHC, BCBC, and KDBC seats on the line with BIG CASH PRIZES!_____________________________________________________________________________________________Subscribe to the excellent, informative and profitable "Power Picks" Tip Sheet! Please go to: https://www.patreon.com/hhhracingpodcastFantastic ABC P4 and P5 grids, along with Spot Plays and Price Plays provided that hit close to 35% in 2025 and an OVERALL ROI of $2.05 (national average is $1.60). Picks arrive via email every Sat. morning for that day's races. Purchase your Power Picks NOW and make 2026 and beyond your best handicapping years ever! RECEIVE A DISCOUNT IF YOU SUBSCRIBE YEARLY INSTEAD OF MONTHLY!!__________________________________________________________________________________________________Montage Info:Track: Brian Rian Rehan - DarkMusic provided by Brian Rian RehanFree Download / Stream: https://music.brianrianrehan.com/Dark_________________________________________________________________________________________________#horseracing #horseracingtips #gambling #fanduel #gradedstakes #adelphi #fanduel #nyra #breederscup #saratoga #twinspires #churchilldowns @fairgrounds ##oaklawnpark #travers #nhc #bcbc Keeneland Live RacingWoodbine Live RacingChurchill Downs Live RacingGulfstream Park Live RacingSaratoga Live RacingHaskell Live RacingLaurel Park Downs Live RacingMonmouth Park Live RacingSanta Anita Live RacingChurchill Downs Live RacingChurchill Downs at Aqueduct Live RacingAqueduct Live Racing

Recently funded and aiming for sustainable retention? Intro chat (no sales pitch): professorgame.com/chat Episode Summary Travis Clapp, co-founder and CEO of Coursebox AI, joins Rob to explain how AI is reshaping course creation and delivery for a platform used in 180 countries with over 300,000 courses built on it. He walks through Coursebox's "Break My Brain" feature, an AI mode built for personalized, adversarial learning rather than points and leaderboards, and explains why the platform now generates in 10 minutes what used to take him days to compile by hand. Travis also shares two gamification experiments gone wrong, an overbuilt golf training module and a crossword in an endangered Aboriginal language, and where he draws the line between fun and function. Listeners come away with a clearer read on why surface-level game mechanics rarely move the needle, and what deep personalization through AI looks like in practice. About the Host Rob Alvarez is Head of Engagement Strategy, Europe at The Octalysis Group (TOG), a leading gamification and behavioral design consultancy. A globally recognized gamification strategist and TEDx speaker, he founded and hosts Professor Game, the #1 gamification podcast, and has interviewed hundreds of global experts. He designs evidence-based engagement systems that drive motivation, loyalty, and results, and teaches LEGO® SERIOUS PLAY® and gamification at top institutions including IE Business School, EFMD, and EBS University across Europe, the Americas, and Asia. Key Takeaways Coursebox AI now generates the five-document compliance package Travis used to build by hand for RTOs in about 10 minutes, work that once took him days per client. Coursebox's "Break My Brain" feature lets a learner, or Travis himself testing it on his own sales calls, get challenged and questioned by AI instead of clicking through a linear course, engaging Core Drive 3 (Empowerment of Creativity & Feedback) and Core Drive 4 (Ownership & Possession). Travis's own team told him not to talk about leaderboards, points, certificates, or badges going into this episode, because platform-level leaderboards rarely produce deep engagement on their own, just a carrot on a stick. A German trucking client turned Coursebox training into a fully hands-free, podcast-style experience so drivers could complete quizzes and assignments by voice while on the road. Coursebox is used across 180 countries, has generated over 300,000 courses, and one flagship edX MOOC built on the platform reached more than 20,000 learners. An early gamified golf training module Travis built in 2011 nailed the learner experience but got flagged internally as the most expensive, overpriced piece of work the company had shipped, a reminder that engagement design still has to answer to budget. Topics Covered 0:00 — Opening hook: "don't talk about leaderboards" 1:18 — Travis Clapp's path to Coursebox AI 2:42 — New fatherhood and running a global startup from Australia 6:03 — Favorite fail: an over-engineered golf training module 9:03 — A crossword in an endangered language, gamification taken too far 10:57 — Why leaderboards and points rarely drive real engagement 12:57 — "Break My Brain": AI's personalized deep-learning mode 16:24 — Killing the step-by-step method for open, prompt-based design 18:02 — Tesla's Grok, Porsche, and voice-driven learning everywhere 20:55 — German truck drivers turning training into a podcast 21:41 — AI risk, specialization, and what never depreciates 27:20 — Book picks, favorite game, and where to find Coursebox AI Recently funded and aiming for sustainable retention? Intro chat (no sales pitch): professorgame.com/chat About Travis Clapp Travis Clapp is the co-founder and CEO of Coursebox AI, an AI course creation and training delivery platform used across 180 countries with over 300,000 courses created on the platform. He spent 15 years as an instructional designer before building Coursebox, working with companies like Johnson & Johnson, Electrolux, Michael Hill, and SA Health. At Open Colleges, he built the five-document compliance packages by hand that every RTO needs; Coursebox now generates the same packages in 10 minutes. One of his courses reached over 20,000 learners as a flagship edX MOOC. He knows what good learning takes because he spent years doing it the slow way. Before Coursebox, he founded and ran a social-based LMS for seven years, which became the foundation for what Coursebox AI is today. Four years ago he launched Coursebox AI, not to automate course creation, but to get to the part that matters: delivery. The AI tutor, the grading, the 24/7 coaching, the outcomes. Course creation, in his words, is about 1% of what the platform does. Travis still checks customer support messages at 4am. Find Travis Clapp Online Website: coursebox.ai LinkedIn (Travis): linkedin.com/in/travisclapp LinkedIn (Coursebox AI): linkedin.com/company/courseboxai Instagram: instagram.com/coursebox.ai TikTok: tiktok.com/@coursebox.ai Facebook: facebook.com/courseboxai X/Twitter: x.com/Coursebox_ai YouTube: youtube.com/@CourseboxAI Mentioned in This Episode Some links below are affiliate links. As an Amazon Associate, I earn from qualifying purchases. TOG / P&G gamification case study The Octalysis Framework Book: I, Robot by Isaac Asimov Book: The Millionaire Mind by Thomas J. Stanley Book: The Expectant Father by Armin A. Brott & Jennifer Ash Rudick Favorite game: SimCity 2000 (1993) Free Resources and Get in Touch Core Drives in the Wild: Professor Game Free Guide Get Daily Value on Your Email Let's chat about your gamification project YouTube LinkedIn Instagram Facebook Start Your Community on Skool for Free Ask a question

Register for our free masterclass on the tools you need to level up your points gamehttps://webinar.geobreezetravel.com/?utm_source=youtube Timestamps:00:00 Why Basic Economy Loses00:10 Meet AJ and Junova01:47 AJ's Points Origin Story03:55 How Junova Was Built05:10 Which Airlines Qualify06:11 Cash vs Miles Tracking06:40 Founder Background Wonolo07:34 Price Drop Data Insights11:25 Timing and United Trends13:32 How to Submit Flights13:52 Dashboard Demo Walkthrough20:31 Fees and Business Model21:33 Booking Strategy Tips24:40 Leaderboards and Privacy29:06 How to Sign Up and Contact30:01 Wrap Up and ThanksYou can find Julia at: ➤ Instagram: https://www.instagram.com/geobreezetravel/ ➤ Credit card links: https://www.geobreezetravel.com/cards You can find AJ and Junova at:➤ Website: https://www.junova.ai/➤ LinkedIn: https://www.linkedin.com/company/junova-ai/➤ AJ's LinkedIn: https://www.linkedin.com/in/ajbrustein/➤ Sign-up code: BREEZE for $25 in Junova creditsOpinions expressed here are the author's alone, not those of any bank, credit card issuer, hotel, airline, or other entity. This content has not been reviewed, approved or otherwise endorsed by any of the entities included within the post. The content of this video is accurate as of the posting date. Some of the offers mentioned may no longer be available.

FAR.AI co-founder and CEO Adam Gleave joins Nathan to discuss FAR.AI's AI Security Leaderboard, the first systematic head-to-head evaluation of the misuse safeguards frontier developers actually ship. The findings expose a major measurement gap: while Claude Fable 5 and GPT-5.6 Sol withstood FAR.AI's suite, Grok 4.5 and Gemini 3.1 Pro yielded hundreds of universal jailbreaks at low cost. Adam explains why many effective attacks look more like social engineering than advanced ML, why “jailbreak tax” should not be relied on for safety, and how FAR.AI scores whether a model is genuinely helping an attacker. The episode's stakes are whether AI developers can measure and harden real deployed defenses before threat actors make routine use of increasingly capable systems. - FAR.AI AI Security Leaderboard: http://leaderboard.far.ai/ - People can e-mail owsa@far.ai if they're interested in the open-weight safety accelerator grantmaking program. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/is-offense-or-defense-dominant-far-ai-s-adam-gleave-on-the-ai-security-leaderboard/ Sponsor: Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr CHAPTERS: (00:00) About the Episode (03:22) AI security leaderboard (07:56) Universal jailbreaks explained (16:26) Finding social jailbreaks (Part 1) (16:31) Sponsor: Claude (18:01) Finding social jailbreaks (Part 2) (30:48) Layered safeguard defenses (42:25) Uneven frontier safeguards (51:10) Sharing safety standards (01:00:30) Offense versus defense (01:08:50) Open-weight model safety (01:17:25) Control failure warnings (01:30:05) Coordination and risk (01:39:24) Episode Outro (01:42:52) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

This show has been flagged as Clean by the host. In our sample game we look at playing as Austria and aiming for a Diplomatic Victory. And our focus is on puppeting City-States, but I misunderstood and instead of making a Diplomatic Victory easier, it makes it harder. I still managed to get my Diplomatic Victory, but a Science or Domination Victory would definitely have been easier in this scenario. Playing Civilization V, Part 14 Now I am at turn 340, I just puppeted another City-State, and I have one more on the way. I have sent a large number of military units, both land and sea, to the City-States that are on Japan's border. If he tries anything now he will likely regret it. Now I am starting to build things I had not bothered with before, like Granaries and Amphitheaters. I got a couple of Great Engineers, and used them to rush build Wonders. I am nearly finished puppeting all of the City-States, and my Happiness and Income are both quite healthy. I am in such good shape I started to build the World's Fair, which I initally proposed then ignored. At this point I only have one more City-State to puppet, then I will have puppeted every City-State in the game. So it is time to put my large income to use in other ways by giving gifts to the other players. I may want to get a few more votes on my side to get over the top in the World Leader vote when it happens. On turn 357 I completed the puppeting of all of the City-States in the game. Meanwhile, I am building up my Science and building Wonders as they become available. I didn't build any in the early game because I had other priorities, but now I have a strong military, high income, and no other pressing needs. My score on the Leader Board is now double that of my nearest competitor which is still Japan. And their denunciation me of just expired with them taking no action. I used a Great Engineer to rush build the Porcelain Tower, earning me another Great Scientist, which I then used to build another Academy. At this point it is mostly a slog to the finish. Since I was so dominant and so wealthy I could afford to pursue a couple of other options just in case. One was a Science victory, which looked like a possibility, though it would be close. I had to be very focused in my Science Research. The other option was a Culture victory, and I had dominated two other empires culturally without half trying, and I was generating Great Artists, Great Musicians, and Great Writers pretty rapidly. So I built Museums, then Archeologists, and grabbed every artifact I find to stuff into the Museums. But the final Victory came when I researched Globalization. This tech allows you to get an extra vote in a World Council for every Spy you send to another empire's capital and designate as an Ambassador. I immediately sent my spies out (they had previously been in my cities doing counter-espionage since I had a tech lead). And a few turns later a vote for World Leader came up and I won. This was my first time using Maria Theresa of Austria as my leader, and it was fun, but in the end puppeting all of the City-Staters actually made it harder to win a Diplomatic victory. In other games I have played, every City-State that was an ally was an extra vote in the World Council, and I assumed that making them puppets would mean I would get that many votes. But that didn't happen. Of course, if I had read more carefully in the Civilization Wiki I would have realized this, because it says there very clearly that Austria is one of the worst Empires to pick if you are going for a Diplomatic victory. So the fact that I managed it anyway is nice. I think I actually could have done a Science victory as I had my Spaceship half-built when I won the Diplomatic Victory. But I hope this analysis of how I actually played this game will be helpful to someone else. Links https://www.palain.com/gaming/civilization-v/playing-civilization-v-part-14/ Provide feedback on this episode.

Sam Burns (-10) leads the 2026 Open Championship by two going into Sunday. Ryan Fox (-8) and Si Woo Kim (-8) sit two back. Join us as we break down all the action: Down the Leaderboard, Lingering/Loitering, Rory's comments on Bryson, news and notes, and much more. Presented by Titleist. Support our sponsors: Titleist - and the entire GTS Metalwoods line! High Noon - Sun's Up! Rhoback - code NLU for 20% off at https://www.rhoback.com Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf Learn more about your ad choices. Visit megaphone.fm/adchoices

Not so fast! Bryson's penalty controversy and more! Lucas Herbert (-8) and Sam Burns (-5) both post 62s, but that wasn't the biggest story of the day. Bryson DeChambeau was assessed a two-stroke penalty after his round, dropping from solo second to T5. And his third-round status is in question. We break it all down and react live. Plus, we discuss Cameron Young (-6), Scottie Scheffler (-4), Tommy Fleetwood (-4), and Jon Rahm (-4). Down the Leaderboard, news and notes, and much more. Presented by Titleist. Support our sponsors: Titleist - the #1 ball in Golf! High Noon - Sun's Up! Whoop - https://join.whoop.com/nlu Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf Learn more about your ad choices. Visit megaphone.fm/adchoices

The Detective Jackson Suber (-5) leads by one over Sungjae Im and Dan Brown after the first day at Royal Birkdale. Join us as we break down all the action from the 2026 Open Championship, including Down the Leaderboard, news and notes, and much more. Presented by Titleist. Support our sponsors: FootJoy - the #1 shoe in Golf! High Noon - Sun's Up! Golf Pride - 20% off with NLU20 at https://golfpride.com AT&T - Connection Changes Everything Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf Learn more about your ad choices. Visit megaphone.fm/adchoices

(00:00-16:07) Mt. Rushmore of Sabby Carpenter songs. She's a tiny little thing. Leaderboard update at The Open. Martin's Argentina nugget. Peppering Jackson with audio kisses. The ESPN UK dais talking about England's loss. Argentina sure has a nice flag.(16:15-38:52) Former Cardinal, John Rodriguez joins the show. The origin of the nickname Tony Larussa gave him. Joining the Cardinals in 05. He can still hit at age 48. Putting his names on his cleats. Facing the Astros in Houston in 05 and the Pujols homerun off Lidge. J-Rod had the last RBI at Busch Stadium 2. Tim absolutely hates the Crawford Boxes in Houston.(39:02-54:18) Audio of Derrick Gould on BK & Ferrario talking about a Jordan Walker extension and what it might cost. Doug's handing out Slurpees. Breaking down a potential Walker extension.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Martin likes to toe the line. Papers is back and feeling himself. Friend of the show Michael McGreevy scheduled to join us at 8. Johnny Load will check in with us at 8:30. Why do you hate the ESPYs? The audience is on notice. Doug says England and Argentina is the lede. Did England park the bus too soon?Don't cry for me Argentina. Biebs performing at the World Cup Final. Alex Smalley on top of the leaderboard at The Open. Firm and dry. The envy complex. Brandon Walker is a real burr in the saddle of Cardinal fans. A belly button ring on the city. Jackson had his belly button ring removed. Chairman would trade everything except his dog for Sabrina Carpenter. Come on down to Busch Stadium, you won't get thrown up on. Ranking MLB stadiums.Rush Rush. Favorite Keanu Reeves films. What's the latest with Movie Boi? The Odyssey is woke. Martin's doing a video for the 2Fox at Rich Gould's pool.Mt. Rushmore of Sabby Carpenter songs. She's a tiny little thing. Leaderboard update at The Open. Martin's Argentina nugget. Peppering Jackson with audio kisses. The ESPN UK dais talking about England's loss. Argentina sure has a nice flag.Former Cardinal, John Rodriguez joins the show. The origin of the nickname Tony Larussa gave him. Joining the Cardinals in 05. He can still hit at age 48. Putting his names on his cleats. Facing the Astros in Houston in 05 and the Pujols homerun off Lidge. J-Rod had the last RBI at Busch Stadium 2. Tim absolutely hates the Crawford Boxes in Houston.Audio of Derrick Gould on BK & Ferrario talking about a Jordan Walker extension and what it might cost. Doug's handing out Slurpees. Breaking down a potential Walker extension.It finally happened. Tim walked in on someone in the unlocked bathroom. Brad Thompson joins the show and we kick off the conversation with a discussion on bathroom locks. Once we settle that, we discuss Jordan Walker at the HR Derby and his emergence from a national standpoint. Brad gives us his perspective on Jordan Walker's long-term future in St. Louis. What has he heard about some of the young guys in the system making their way up? Brad's heading to the San Diego zoo.E-Mail of the DayDaniel Brown and Sungjae Im are your leaders at The Open. Are we talking about Alex Smalley or Aaron Rai. Lady Byng. You ever play catch in bed? Pitchbacks. Pick the switch, the belt, or the wrench. Cardinal fantasy camp. Holding hands with The Wizard.It's time for Market Moves. The price to take pictures with some athletes at Fanatics Fest. The incel bat signal. Who's the most famous person you have a picture with? Little Bill. Fupas per capita. Heart attack grill.The Tim & Ozzie picture is now up on Instagram. A bearclaw claw machine. Doug likes a stollen.And the winner of the EMOTD is...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Charlie Hulme and Smylie Kaufman break down Round 1 of the 154th Open Championship at Royal Birkdale, where Jackson Suber leads at 5-under and Englishman Daniel Brown sits T2 at 4-under. Smylie, who walked all day with the Cam Young–Ludvig Åberg–Wyndham Clark group, dives into how the course shifted from a calm, receptive morning to tough northwest crosswinds in the afternoon, and compares the end-of-day green conditions to Poa annua.Plus: the variety and firmness of Birkdale's turf on display through Tommy Fleetwood, Jordan Spieth, Jon Rahm and Rory McIlroy's approach shots, a parallel between Rory and Bryson DeChambeau's rough putting days, Cam Young's near-63 that got away, why the course rewards precision but still leaves room for aggressive drivers, Scottie Scheffler's 93%-fairways 2-under start, Bryson's driver edge in the firm conditions, and the guys' cut line and 36-hole leader predictions.Don't forget to like, comment, subscribe, and follow us on socials @thesmylieshow!Chapters0:00 Round 1 wrap: Jackson Suber leads, Daniel Brown T21:21 Smylie's flushed wedge on No. 72:52 Morning calm to afternoon crosswinds: how Birkdale played5:34 Course variety and firm turf 7:51 Morning vs. afternoon scoring — Cam Young9:24 Who the course favors: precision, aggression, and spinny fescue11:47 Scottie Scheffler's 93% fairways and 2-under start13:26 Bryson's driver advantage and conditions in his favor14:31 Bryson's approach game: the real test comes Friday afternoon15:21 Preview picks recap, cut line and leader predictions#theopen #golf #smylieshow #royalbirkdale

Welcome to episode 388 of the Chasing Daylight Podcast! In this episode, the guys cover a lot of ground, from the scorching Vegas heat to the final major of 2026. Garsen Grips Giveaway: We are giving away the final major release of 2026, the 1 of 100 "Leaderboard" grip! Pro Golf Recap: Recapping Tom Kim's Scottish Open win, Haeran Ryu's Evian Championship victory, and Scotty Scheffler ending his made-cut streak. Las Vegas Golf Course Updates: Discussing the renovations and new Bermuda grass at Revere Golf Club's Lexington course. Lost Vegas Courses: Mourning local closures and ranking lost Vegas courses like Desert Pines, Royal Links, and Silverstone. The Open Championship: Odds, predictions, and picks for the 145th Open Championship at Royal Birkdale. YouTube Golf Critique: A candid discussion on the pacing and constant talking in modern YouTube golf productions, specifically reviewing the YGT event at Purcell Farms. Upcoming Interviews: Teasing our chat with Exchange Golf regarding their modular putter shafts and an upcoming interview with Harry Arnett from Municipal. Make sure you are following the show on Apple Podcastshttps://podcasts.apple.com/us/podcast/the-chasing-daylight-podcast/id1464725572Special thanks to our show sponsor:Garsen Grips - https://garsengolf.comAnd also our show supporters:Gretsch Golf Academy - https://gretschgolf.com/Las Vegas Golf Superstore - https://www.worldwidegolfshops.com/Rohrs Golf Co - https://rohrsgolf.com/CDP Socials:https://www.instagram.com/chasingdaylightpodcast/https://x.com/CDPGolfShowhttps://www.facebook.com/chasingdaylightpodcasthttps://www.tiktok.com/@chasingdaylightpodcastJoe's HittinGreens Channel on Whatnot:https://www.whatnot.com/s/Cdk2ZpkuJeremy's New Golf Brand:https://www.damngoodputter.com/Follow the Chasing Daylight Crew:Mathew Wangrycht: https://www.instagram.com/1440golf/Joe Keith: https://www.instagram.com/hittingreens/Jeremy Martin: https://www.instagram.com/damngoodputterDan Hodges: https://www.instagram.com/bogey_free_62/Support the show

Links: Why Amazon Has Dropped its Internal AI Usage Leaderboard   Be sure to follow us on our social media accounts on: LinkedIn: https://www.linkedin.com/company/the-audit-podcast Instagram: https://www.instagram.com/theauditpodcast TikTok: https://www.tiktok.com/@theauditpodcast?lang=en   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.

We have movement!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Show Notes: Shankar Ananth shares his background, mentioning his nine years of consulting experience, highlighting his experience at McKinsey and Bain, and his role  in building the new app, Micro-Casing.  Bridging the Gap in Case Interview Preparation Shankar explains the gap in case interview preparation methods, which led him to create Micro-Casing. He also mentions his eight years of experience as a case coach and the usefulness of the app for students. He discusses the target audience of the app, which includes consulting candidates and those looking to improve their consulting thinking. Micro-Casing - Your Case Partner Reimagined Shankar explains the homepage of the app, where users can log in through Google or Apple.  Quick start guide The app is designed as a decision-making tool with a multi-choice game-like interface to mimic case interviews.  Categories Users can choose from various categories like market entry, growth strategy, profitability, market size, or M&A.  Avoiding AI Hallucinations Shankar explains the gameplay, where users can pick a category, race the clock, and solve timed cases with two attempts. The app includes a feature where incorrect answers lead to rabbit holes, similar to real-life case interviews. The scoring system involves penalties for viewing hints and entering rabbit holes. Shankar highlights the app's manual case creation process to avoid AI hallucinations, ensuring the cases are accurate. Mock Case Interviews Demonstration The app's growth strategy category is described, showing the available cases and their status (completed or not started). Coaches Shankar explains the optional feature of selecting a sidekick or coach, which provides tips during the case.  Growth Dilemma They start a case called "ShopSphere's Growth Dilemma," where a case prompt is read and  the process of solving the problem begins.  Case Profitability The Summary Page Shankar explains the summary page, which shows the case details, difficulty, pass score, and performance metrics.  Case results and performance review The summary page includes a growth category readiness score and an overall readiness score, indicating progress and areas for improvement. He explores the view of all hints feature, which provides detailed feedback on each question. The Quality Control System Shankar discusses the process of creating and validating cases, involving AI-driven reviews and manual checks by experienced case coaches. The app currently has over 60 cases across various categories, ensuring rigorous quality control. Shankar mentions the potential for users to disagree with answers, which will be tracked for future improvements. The app aims to provide a comprehensive and accurate case preparation experience. The Leaderboard Feature Will and Shankar discuss the leaderboard feature, which allows users to compare their progress with others. The leaderboard is based on overall category readiness and overall readiness scores, calculated using various metrics. Shankar explains the option for colleges and consulting clubs to create their own leaderboards and case competitions within the app. The app supports private quizzing clubs, allowing organizations to upload and co-create cases for exclusive use. Shankar shares his experience as a case coach, starting from word-of-mouth referrals and eventually joining platforms to offer his services. Case Practice  for Consultants He highlights the importance of case practice for consulting candidates, noting that it can take months to prepare. Shankar offers listeners of the podcast two months of free access to the entire app, providing an opportunity to try it out. Timestamps: 03:07: Overview of Micro-Casing App 06:29: Gameplay and Scoring Mechanism  10:03: Detailed Walkthrough of the App 13:54: Evaluation and Feedback 16:59: Creation and Validation of Cases  20:14: Leaderboard and Customization Features Links: iOS: https://apps.apple.com/us/app/micro-casing/id6754453873 Android: https://play.google.com/store/apps/details?id=com.microcasing.dev&pcampaignid=web_share Special link / discount code for the general audience for a free 2 months:  iOS: https://apps.apple.com/redeem?ctx=offercodes&id=6754453873&code=2MOTS   Android:Use the code 'Umbrex' at checkout, not within the app  Special link / discount code for participants in the Umbrex Consulting Fellowship for a free 3 months:  iOS: https://apps.apple.com/redeem?ctx=offercodes&id=6754453873&code=UMB200  Android:Use the code 'UmbrexCore' at checkout, not within the app  This episode on Umbrex: https://umbrex.com/unleashed/episode-654-shankar-ananth-micro-casing-a-gamified-way-to-practice-case-interviews/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

Did the Sorare community panic too soon about Rare cards in Sorare 27?

July 6, 2026 BuildWitt Kids, Leaderboards, and Budget (Building BuildWitt 60) BuildWitt Update #60 – DT 458 Aaron recaps the wins and lessons learned at BuildWitt this week. Learn more about attending the 2026 Ariat Dirt World Summit by visiting https://events.dirtworld.com/event/summit-2026/summary Want to better train and develop your teams? Check out BuildWitt Improve! https://buildwitt.com/product Questions or feedback? Email us at dirttalk@buildwitt.com! Learn more about your ad choices. Visit megaphone.fm/adchoices

Your best affiliate prospects are usually hiding in plain sight... on other people's leaderboards. In this episode, I'm breaking down how to recruit affiliates from competitor leaderboards, including exactly where to find the lists, how to choose the right prospects, and how to reach out in a way that starts real relationships instead of sounding like a spammy pitch. Links Mentioned in this Episode Your Affiliate Launch Coach  

The startup, which runs a popular free AI leaderboard, launched its commercial service just last September. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI-driven automation of cognitive labour is not merely another technological transition but a structural discontinuity that will end, sooner or later, the central role of wages in how society operates. This discontinuity can be called “The End of Postwar Capitalism”. That's the conclusion of a tightly argued set of essays, “The Discontinuity Thesis”, written by our guest in this episode, Ben Luong.The essays look at a range of arguments that all try to make the case that wages paid for cognitive labour will remain significant for the majority of people, so that capitalism can continue in place, even with AI having greatly expanded capabilities. According to Ben, each of these arguments fail. These back-and-forth debates are what we explore in this episode.Selected follow-ups:"The Discontinuity Thesis: A Sequence of Seven Essays on Why Postwar Capitalism Ends" by Ben Luong"Mark Zuckerberg just declared war on the entire advertising industry" - The Verge"P versus NP problem" - Wikipedia"KPMG Pulls AI Report After Hallucinated Claims About Major Organisations" - AI Insider "GDPval-AA v2 Leaderboard" - Artificial Analysis"OSWorld: 369 real computer tasks across Windows, macOS, and Ubuntu requiring GUI interaction... Much harder than web-only benchmarks""Sorites paradox" - Wikipedia"Young people not in education, employment or training (NEET), UK: May 2026" - Office of National Statistics"Five Years" - Song by David Bowie"How ZEISS and ASML Enable the Modern Chip Industry" - Rob Hoeijmakers"Mistral AI's $830 Million Debt Financing: Inside the European Bet on 13,800 Nvidia GPUs and a Paris AI Data Center" - Marcus Chen"Colossus (data center)" - Wikipedia"Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence" - Stanford Digital Economy Lab"Appendix I: What Would Refute the Thesis" - by Ben Luong"The Cope Index: Tracking who's coping hardest about the end of work" - by Ben Luong"The AI Alignment Problem" - from "The Singularity Principles"Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain DeclarationC-Suite PerspectivesElevate how you lead with insight from today's most influential executives.Listen on: Apple Podcasts Spotify

Are we locking in for Sorare 27? In today's episode of SorareAndrews, we're breaking down our game plans for the upcoming season and deciding exactly how we're going to attack the new landscape.The game is changing, and we need to adapt. We're weighing the pros and cons of the major gameplay tiers and mapping out our budget and focus.What we're covering today:• Arcade vs. Pro vs. Arena: Where is the real value? (Breaking down the shifts from Set, Hot Streaks, and Leaderboards).• League Selection: Which leagues offer the best ROI and utility for our gallery this year?• Our Buying/Selling Strategy: How we are prepping our gallery right now.Are you playing Sorare 27? What's your main focus this season? Let us know your strategy in the comments!Support the content by joining the Laird Social Club on Patreon: https://patreon.com/andrewmlaird⚽️ Become a Sorare manager today: https://sorare.pxf.io/WyLBnZ

Presenting Sponsor Thirdzy!  https://thirdzy.com/JAZZYPromotion Code for 15% off: JAZZYSupport Carolyne with the purchase of your CrossFit Games Tickets, Use Code cfgprevost10 at checkoutEveryday we take a break from the busy work day to catch our breath, hang out with friends and talk about the world of Sports, Entertainment and specifically CrossFit. Today we talk about Dumb decisions we make when we are young, the Leaderboard shake-up in Online Semifinals, What is Bumble BFF and Gilette is Briliant at marketing.

This week's episode continues the ETERNAL SCORECARD series with the focus on "The Leaderboard." Pastor Scott touches on the concept of the leaderboard in the church, how it influences our spiritual lives, and how the grace of Christ covers us all.

Wyndham Clark is a two-time U.S. Open champion.Smylie Kaufman and Charlie Hulme recap the final round from Shinnecock Hills, where Clark survived a chaotic Sunday, a charging Sam Burns, a final pairing with Scottie Scheffler, and a hostile New York crowd to claim his second major championship.Smylie was inside the ropes with the final group all day and breaks down the shots that decided the championship: Scottie's slow start, Wyndham's short-game saves, the massive birdie at 16, Sam Burns' near-misses on 17 and 18, and how Shinnecock Hills played across four demanding rounds.The guys also debate the course setup, fan behavior toward Wyndham Clark, what this win means for his legacy, the leaderboard names who made a jump, and Rory McIlroy skipping the Travelers.CHAPTERS00:00 Welcome from Shinnecock01:55 Smylie inside the final group06:09 Scottie's Sunday start10:47 Wyndham's early battle13:18 The key moment at No. 519:00 Wyndham and Scottie at 1020:40 Why No. 11 is elite23:27 Sam Burns makes his charge27:46 Wyndham's huge break at 1629:07 Did Shinnecock get the setup right?36:03 Fan treatment of Wyndham Clark50:01 Leaderboard quick hitters57:11 Rory skips Travelers01:03:40 Final thoughts from U.S. Open week#golf #usopen #wyndhamclark #golfrecap #smylieshow 

Wyndham Clark (-7) leads the 2026 U.S. Open by four shots over Matt Fitzpatrick, Xander Schauffele, Sam Stevens, and Young Tom Kim. Collin Morikawa (-2) fired the round of the day and sits solo sixth. Harry Higgs (-1) joins the show to discuss travel logistics and his round as he sits T7 alongside Justin Thomas, Sam Burns, and Sahith Theegala. Join us as we break down all the action from Shinnecock Hills Golf Club: On the Ground with Neil, Down the Leaderboard, HFBITFB, the day's biggest movers, notable missed cuts, news and notes, and much more. Presented by Titleist. Support our sponsors: Titleist - the #1 ball in Golf! High Noon - Sun's Up! Travelers Championship Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf The NLU email newsletter: bi-monthly updates on all things NLU: https://newsletter.nolayingup.com/subscribe Join The No Laying Up Nest: https://nolayingup.com/join Learn more about your ad choices. Visit megaphone.fm/adchoices

Wyndham Clark (-6) opened a four-shot lead before play was suspended due to darkness. Seven players sit T2 at -2, including Matt Fitzpatrick, Dustin Johnson, Gary Woodland, and Jon Rahm. Rory McIlroy, Ludvig Åberg, and Bryson DeChambeau are among the notable names at -1. Join us as we break down all the action from the U.S. Open at Shinnecock Hills Golf Club, including Down the Leaderboard, fog/wind/weather discussion, news and notes, and much more. Plus, Zac Blair (T29) joins the show to discuss his round and his expectations for the week. Presented by Titleist. Support our sponsors: Titleist - the #1 ball in Golf! High Noon - Sun's Up! Golf Pride - 20% off with NLU20 at https://golfpride.com Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf The NLU email newsletter: bi-monthly updates on all things NLU: https://newsletter.nolayingup.com/subscribe Join The No Laying Up Nest: https://nolayingup.com/join Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to another episode of Bubba (@bdentrek) and the Bloom (@RyanBHQ). On BATB 356, it's a BloomBoard Tuesday. The guys will go over the LIVE pitching leaderboards. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Presenting Sponsor Thirdzy!  https://thirdzy.com/JAZZYPromotion Code for 15% off: JAZZYSupport Carolyne with the purchase of your CrossFit Games Tickets, Use Code cfgprevost10 at checkoutEveryday we take a break from the busy work day to catch our breath, hang out with friends and talk about the world of Sports, Entertainment and specifically CrossFit. Today we talk about the Teams unofficial Leaderboard, Individual Semifinals workouts, Sanctions for cheating and more Pizza Talk

What a day for Cameron Young (-11)! He shoots a third round 65 to rocket up the leaderboard and tie Rory McIlroy (-11) at the top. Sam Burns (-10) sits in solo third, Shane Lowry (-9) in fourth, and Jason Day (-8) and Justin Rose (-8) rounding out the Top 5. We break it all down and get you set up for an epic Masters Sunday: Stories of the Day, Down the Leaderboard, HFBITFB, on-site observations with Soly & Neil, and a whole bunch more! Presented by Titleist. Titleist - #1 Ball in Golf High Noon - Sun's Up! Rhoback - code NLU for 20% off at https://www.rhoback.com Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf The NLU email newsletter: bi-monthly updates on all things NLU: https://newsletter.nolayingup.com/subscribe Join The No Laying Up Nest: https://nolayingup.com/join Learn more about your ad choices. Visit megaphone.fm/adchoices

What a day for Rory McIlroy (-12). He jumps out to a six-shot lead over Sam Burns (-6) and P. Reed (-6) while Shane Lowry (-5), Tommy Fleetwood (-5), and Justin Rose (-5) sit at T4. We walk you through all of the day's action: Stories of the Day, Down the Leaderboard, Big's Top 10, on-site observations with Soly & Neil, news & notes, and a whole bunch more! Presented by Titleist. Titleist - #1 Ball in Golf High Noon - Sun's Up! Arccos - NLU15 for 15% off at https://www.arccosgolf.com/ Looking to travel this year, check out East Sands Golf Co.: https://www.eastsandsgolf.co/nlu Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf The NLU email newsletter: bi-monthly updates on all things NLU: https://newsletter.nolayingup.com/subscribe Join The No Laying Up Nest: https://nolayingup.com/join Learn more about your ad choices. Visit megaphone.fm/adchoices