Podcasts about akshay

Marine veteran Akshay Nanavati joins Marcus Aurelius Anderson to discuss how he turned PTSD, addiction, and a suicide attempt into a life defined by extreme self-mastery. He survived 17 days in total darkness and dragged a 420-pound sled 500 miles solo across Antarctica, losing fingers to frostbite along the way. They discuss method acting as a tool for identity construction, the value of choosing your suffering on purpose, the "apex moment" that defines who you become, and why stillness may be the most important discipline of all. Episode Highlights: 1:30 — Akshay describes surviving 100 days alone in polar regions and dragging a 420-pound sled 500 miles solo across Antarctica, calling it "the boldest Antarctic expedition of modern time." 15:08 — Every part of our identity is a construct rather than an inherent truth, which means we get to create ourselves instead of simply finding ourselves. 35:26 — Every worthy mission needs two whys: a selfish curiosity that drives you inward, and a duty to bring what you learn back to others. 40:39 — In his darkest moment dragging a stuck sled through Antarctic snow, a single quote turned his despair into what he calls his "apex moment," the instant of transcendence that defines who you become. Akshay Nanavati is a Marine combat veteran who overcame PTSD, addiction, and a near-suicide to become one of the most extreme human-performance explorers alive today. He has run multiple ultra-marathons, spent 17 days in complete darkness, survived 100 days alone in polar regions, and completed a 500-mile, 60-day solo trek across Antarctica dragging a 420-pound sled. He combines lived experience with neuroscience, psychology, and spirituality in his book Fearvana, which was endorsed and forwarded by the Dalai Lama. He is an international keynote speaker and mental performance coach who helps leaders and teams break through limits and perform at their peak. His next book, The Work Is the Win, releases in spring 2026. Learn more about the gift of Adversity and my mission to help my fellow humans create a better world by heading to www.marcusaureliusanderson.com. There you can take action by joining my ANV inner circle to get exclusive content and information.See omnystudio.com/listener for privacy information.

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Raja Yoga is the path of willpower — Patanjali's 8 limbs that lead from a restless mind to stillness. Akshay Bhat maps the whole way. What if real peace isn't found on a mountaintop, but in the stillness already inside you?This episode explores Raja Yoga, the king of yoga: the path of willpower that Patanjali lays out in his eight limbs (ashtanga). The guest, who has studied these teachings since childhood, walks through the whole journey in plain language.Raja Yoga isn't about escaping life. It starts with how we live (the yamas and niyamas), then works through the body and breath, slowly clearing the old patterns, the samskaras, that keep the mind restless.From there the conversation moves inward, deeper into Raja Yoga, through the limbs: asana as steady ease, pranayama as the art of watching the breath, and pratyahara, drawing the senses back from a noisy world. Everyday examples make it real: a turtle pulling in its limbs, the calm after a hard pose, why coffee at night keeps the mind racing.Then come the three most people blur together: dharana (focus), dhyana (meditation), and samadhi (absorption). You'll hear why most "meditation" is really only the first of these, and how deep sleep already gives us a taste of samadhi, a joy that comes from within rather than from anything outside.The episode closes on a simple, powerful idea: the highest practice in Raja Yoga may not be doing anything at all, but being fully present. If your mind feels like a restless lion, this is the path to taming it, and this conversation is your map.Continues the previous episode on the Yoga Sutras and the five kleshas.Episode Chapters:00:00:00 Introduction00:00:43 Recap: Kriyas & the 5 Kleshas00:02:38 What Is Raja Yoga?00:03:46 Ashtanga: The 8 Limbs (Not the Asana Series)00:05:21 Yamas & Niyamas: The Foundation00:06:08 Clearing the Samskaras00:07:56 Prakriti & Purusha: Energy vs Stillness00:12:15 Om / Pranava: Tapping Into Consciousness00:19:35 Asana: Steadiness & Ease00:23:13 When Effort Becomes Effortless00:28:59 Pranayama: Patanjali's Definition00:34:13 Pratyahara: Withdrawing the Senses00:38:46 The 3 Gunas & Diet00:46:23 Ramakrishna & Yoga Beyond Religion00:50:56 Dharana: One-Pointed Focus00:57:59 Dhyana: Becoming the Flower01:00:35 The Mind Tamer & Chitta Vritti Nirodha01:02:39 Samadhi: Deep Sleep & Inner Joy01:07:13 Surrender & Endless Bliss01:10:27 Presence: The Highest Teaching01:13:09 Recap & Closing MantraMentions & Resources:Michael Henri's Instagram: https://www.instagram.com/michaelyoga.pt/ Akshay Bhat's Instagram: https://www.instagram.com/akshaybhatyoga/The IN Movement Instagram: https://www.instagram/com/the_in_movement/Texts & philosophy: Yoga Sutras of Patanjali; Samkhya (Prakriti and Purusha)Teachers: Ramana Maharshi (Arunachala; years of silent meditation); Ramakrishna Paramahamsa (devotion beyond religion — the Kali story)Other paths referenced: Bhakti Yoga (devotion); Jnana Yoga (self-enquiry)Concepts: the eight limbs (ashtanga); chitta vritti nirodha; the three gunas (sattvic, rajasic, tamasic); pranava (Om); Ekadashi fasting; Vipassana; polyvagal theory (modern nervous-system parallel); the Patanjali invocation mantra (closing)

Yes, that's right! Georgia Tech Athletic Director Ryan Alpert joins Jack and Akshay to talk about lessons from his first year at The Flats, revenue generation, the 100 points of improvements coming to Bobby Dodd Stadium, and the future of women's sports at Georgia Tech.Like the show? Drop a rating on your favorite platform and feel free to email us any time at fromtherumbleseat at gmail dot com with questions or topics you may want covered on the show.Hosts: Akshay Easwaran, Jack PurdyProduction: Jack PurdyMusic: Georgia Tech Marching Band, Georgia Tech Glee Club

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right.A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU now up >10x from Jan 2026. Less than two weeks after their July 9th launch, OpenAI said ChatGPT Work and Codex had reached 10M users combined (as we cover in the pod, Codex now powers ChatGPT Work, so all ChatGPT Work users are now users of the Codex harness, even if they aren't traditional engineers) — showing the early innings of what happens when you graduate from coding agents to knowledge work agents:We've been calling out how coding agents are “breaking containment” to do everything else this year to power every other part of knowledge work - and it started with the org chart, with a major reorg last month that amounted to two of Codex's most prominent leaders, Greg and Tibo, taking responsibility over product and ChatGPT specifically, completing a “Superapp” consolidation cycle first discussed in March.With these updates Codex is no longer just a coding tool. In June, OpenAI said knowledge workers already accounting for roughly 20% of Codex's user base and growing more than 3x as quickly as developers. A product dedicated for knowledge workers was being pulled out of the Codex team.However, knowledge work has a different set of problems and environments than coding. For decades, knowledge work has been scattered across different primitives like documents for writing, spreadsheets for analysis, slide decks for communication, and specialized applications for everything else. ChatGPT Work now enables users to work across every primitive with agents. Instead of opening an application and manually operating its features, the user can describe an outcome and collaborates with an agent that can assemble the tools, context, and artifact needed to reach it.From building no-code products at Airtable to leading Productivity Engineering at OpenAI, Akshay Nathan has spent much of his career trying to make the power of software accessible to people who do not write code. In this episode, Akshay joins swyx and Vibhu to unpack the launch of ChatGPT Work, why Codex unexpectedly took off among non-developers inside OpenAI, and the company's broader plan to bring useful agents from software engineers to knowledge workers and eventually everyone.We go deep on the shared agent harness behind Codex and ChatGPT Work, why OpenAI brought the experiences together without making them identical, and how persistent computers, artifacts, Sites, plugins, memory, and sub-agents are changing what people can delegate to AI. Akshay explains why some teams are replacing decks and spreadsheets with interactive websites, how agents can gather context across code, Slack, documents, and local files, and what OpenAI learned from personal-agent products like OpenClaw.Side note: also don't miss Abhihek's sandbox track keynote at AIE, which now powers a lot of the sandboxing for ChatGPT Work… and yes was also broken by an unreleased OpenAI model in the recent HuggingFace incident.Akshay also reflects on how AI is transforming product development itself: why more people will become generalists with a specialty, why ideas and taste become the bottlenecks when almost anyone can build, why LLMs still struggle to generate genuinely grounded new ideas, and why teams must distinguish increased motion from actual progress.We discuss:* Why Codex unexpectedly took off among non-developers inside OpenAI* Why employees felt like using Codex gave them a new superpower* The product insight that led OpenAI to build ChatGPT Work* Why Codex and ChatGPT Work share the same underlying agent harness* How their UX, Git visibility, artifacts, and sandboxing defaults differ* Why OpenAI merged its agent experiences instead of building separate products* How AI is blurring the boundaries between engineering, design, strategy, and operations* Why OpenAI wants the default model configuration to work for most users* When power users should use deeper reasoning, Ultra, or multi-agent modes* Artifacts, agentic spreadsheets, and creating high-fidelity work products* Why interactive Sites may replace decks and spreadsheets* The challenge of designing a simple interface for an agent that can build almost anything* Why users should retry tasks that models could not handle three or six months ago* How AI can gather context for performance reviews without replacing human judgment* The OpenAI automation that turns internal Slack and document activity into memes* What reaching ten million ChatGPT Work and Codex users means for the product* How OpenClaw inspired persistent environments, scheduled tasks, and personal agents* Using ChatGPT for financial planning, budgeting, workouts, meals, and household management* The design tradeoffs behind sub-agents and how much of their work users should see* ChatGPT memory, Chronicle, and long-term context* Why AI may make more people generalists with deep specialties* Why ideas and taste become more important when almost anyone can build* Why LLMs still struggle with the instruction “bring me new ideas”* Measuring productivity through quality at-bats instead of commits, tokens, or pull requests* The critical difference between AI-generated motion and meaningful progressAkshay Nathan* LinkedIn: https://www.linkedin.com/in/akshaynathan/* X: https://x.com/akshaynathan_Timestamps00:00:00 Introduction and Bringing the Power of Code to Everyone00:01:33 Joining OpenAI and Preserving a Startup Culture00:02:40 What OpenAI Learned from Enterprise AI Adoption00:05:28 Why OpenAI Built ChatGPT Work00:07:17 Codex vs. ChatGPT Work and the Shared Agent Harness00:12:07 Why OpenAI Merged Its Agent Experiences00:16:24 Models, Reasoning Levels, and Choosing the Right Default00:20:26 Artifacts, Agentic Spreadsheets, and Model–Product Collaboration00:24:22 Why Sites Could Replace Decks and Spreadsheets00:30:08 Designing an Agent That Can Build Almost Anything00:34:28 From Developer Agents to Knowledge Work—and Everyone00:36:07 Power-User Advice and AI-Assisted Performance Reviews00:40:41 OpenAI's Internal AI Memes and the Ten-Million-User Launch00:44:39 OpenClaw, Personal Agents, and ChatGPT as an Operating System00:50:24 Sub-Agents, Ultra Mode, and How Much Control Users Need00:54:39 ChatGPT Memory, Personalization, and Chronicle01:00:19 How AI Is Reshaping Product Development and Tech Roles01:03:15 Ideas, Taste, and Why LLMs Struggle to Generate New Ideas01:04:42 Measuring Productivity, Quality At-Bats, and Motion vs. ProgressTranscriptIntroduction: Akshay Nathan, ChatGPT Work, and the No-Code ArcSwyx [00:00:00]: We're here in the studio with Akshay from OpenAI. Welcome.Akshay Nathan [00:00:07]: Thank you.Swyx [00:00:08]: And with our trusty co-host, Vibhu. So you recently launched ChatGPT Work. You lead Core Product Engineering. It's been a long journey, into all this. I find it very interesting that you started with no code or low code, with Walrus and Airtable. And to some extent, ChatGPT Work is like the super app of super apps of, well, here is the ultimate no code. You just write a prompt.Akshay Nathan [00:00:32]: Yeah. It's funny how things come, full circle. I think for a long time in my career, I started my career working consumer fintech, but then after that, like, there's this hypothesis that, the things that we were able to do with code, like, as engineers, like, if we could bring that to many more people in a more, accessible way, then that would be truly magical. We were working on a startup. It's funny, like, before LLMs, before vision LLMs, on how to do automated testing with AI. It was just kinda jank, back then, but doing what we can, and then worked at Airtable for a while on the same thesis that, like, if we can bring a database or the primitives behind a database to people, that'd be really useful to them. But once LLMs came onto the scene, it became clear that, this was the missing piece, like, the missing technology required to, like, bring the magic of code to everyone without them having to know what's going on underneath the hood. And so, like, I think this launch and a lot of the stuff that we've been up to is, like, the manifestation of that.From Walrus and Airtable to OpenAIVibhu [00:01:33]: How was stuff when you joined? So you joined OpenAI 2023. Now we've got, so much more stuff, so ChatGPT, Codex app, ChatGPT Work. Have things changed?Joining OpenAI and What Hasn't ChangedAkshay Nathan [00:01:44]: I think the more interesting thing is how things haven't changed. Like, one, I joined I remember when I joined, it was, like, five hundred people. One thing I was worried about was, like, I was looking for something, more early stage and, like, was it gonna feel startup enough? And I joined, and I was like, “This feels even more startup-y than I could ever imagine.” And, like, that really hasn't changed even till now. I think the, like, level of, like, bottoms-up ambition and, like, the ability of anyone to, like, do anything or have an idea and ship it is really cool. But on the, like, mission side, I think what was really compelling to me is this mission of, bringing frontier intelligence to everyone. Like, building AGI and then bringing it to everyone. And, I think acknowledging back then that, like, that vision is gonna, not be a linear progression. Like, we're probably gonna, like, try different products and have different things that succeed and don't. But the vision has stayed the same, and the mission has stayed the same, and we're starting to see the pieces, fall together, and that's really cool.Enterprise Lessons: No One-Size-Fits-All AISwyx [00:02:40]: You worked on Enterprise. What A lot of people never touch ChatGPT Enterprise. What is something that you learned from there that you're bringing into your work now?Akshay Nathan [00:02:52]: I think how there's no one-size-fits-all solution in Enterprise. I remember in the early days of ChatGPT Enterprise, like, when we talked to customers and, like, everyone. That was, like, when I think it was a year after ChatGPT was released, and everyone was so excited to bring, AI into their enterprise. And, there were all these teams being stood up. It was, like, the AI deployment team with, like, these enormous budgets. And if you asked anyone, like, what were they excited about? Like, what were they excited about solving? Like, at first, you'd get, like, kinda like the baseline answers of, like, “Yeah, we have all this context and data and all this stuff.” But then if you ask them, like, “What was, like, a discrete use case that, like, they want AI to enable in their workplace?” You get such a different, like, variance, like, explosion of, different types of answers. And it's interesting, like, you using, like, these models and these products, you have this box, and you can say anything to it, which is the magic. But it'on the flip side, it also means that, like, you don't know what to do with it. And in Enterprise, I think a big part of that is, like, meeting the users where they are, like, what use case were they trying to solve, and then teaching them how they can use AI to, like, gain leverage there.Swyx [00:03:56]: Do you meaningfully differentiate that from forward-deployed engineering?Akshay Nathan [00:04:01]: I think there is the go-to-market side of it and then there is the product side of it. I think you need someone on the product side. And I think, like, however good we get at FDE motion, like, I think at the end of the day, if we have a user who's, like, looking at their computer or looking at their phone, like, it's our job in the product to, like, be enabling them and showing them where to go. So we're really excited about that.Vibhu [00:04:24]: Do you think there's been changes, over the past three years of adoption? So there have been, step function changes. You have reasoning models and whatnot. Is there still the same problems of Enterprise has black box, don't know what to do with it, or have things changed?Adoption, Agents, and the Next 10x MarketAkshay Nathan [00:04:39]: We're seeing now that, like, there's this huge uptake, right? Everyone is extremely excited about it. It feels like, many people are, millions, hundreds of millions of people are using ChatGPT. They understand, like, how generally to work with AI. But then, like, every time, like, a new capability gets unlocked, so now, like, we're seeing with agents, like, there is probably a contingent of, like, early adopters still who, truly get it, who are like, “ we you can do anything. You just have to make sure the right context is there, it's connected to the right tools, and that you are supervising it, but, like, anything is possible.” But then there's, like, this, like, 10x or 100x bigger market where, like, they don't yet get that, or they don't yet see that. And so I think that's the next stage here. So to answer your question, like, I think the adoption is there and growing fast, but I think the opportunity is, like, far bigger than that. That's where we wanna play, especially with ChatGPT Work.ChatGPT Work, Codex, and the Super App MergeSwyx [00:05:27]: Yeah. well, let's, let's skip ahead to ChatGPT Work. only, like, a month ago or so, announced. what was the decision process that led into it? there was this, overall merging of the super app. Is that what we're officially calling it? you deprecated the browser as well. Just, summarize your last, like, couple months of working on this thing.Akshay Nathan [00:05:50]: Yeah. It feels like forever now, but it's only been a few months. I think maybe the one, impetus that, like- Is most salient is when we release Codex, or even internally had Codex, like, it was really surprising to us, I think we recently put out some stats on this, that there was this, like, real inflection of, like, adoption among non-developers at OpenAI. And, I, through this product development process, like, would go to, like, these UXR sessions to talk to people internally. And the thing that stuck out to me is, like, one, like, you go talk to, like, strategic finance or marketing or whatever, and they're all using Codex for, their use cases. That part's cool, but the thing that really stuck out to me is how proud people were that they were using Codex. Like, how, likeSwyx [00:06:34]: It's like, “I'm not supposed to be using it, but I am.”Akshay Nathan [00:06:36]: It was that. It was, like, that they were, early to this, like, new thing, but it was also this thing of, like, they felt like they had a superpower, right? And, what we recognized then is that, like, the power of Codex, the power of agents, like, we already had this massive distribution base of people who have, come to know and love ChatGPT. Like, how do we show that to them? Like, how do we bring it to them? Which is, like, a hard product problem, and it's, like, a tricky thing, right? There's many ways you can go about it. And so that's what we called the Merge and the Super App over time, and ultimately launched it in ChatGPT Work, is how do we do that? But it came from that initial realization that, like, the power was not only for developers, like, much earlier than probably even we thought. Like, it could be extended to everyone.Swyx [00:07:17]: How do you see the products differently? So, like, who is it for, right? So Codex started out even CLI, then app. Now there's a merge of ChatGPT Codex and ChatGPT Work, so is it the opening for the average user, for enterprise, for work? How do you position it?Akshay Nathan [00:07:36]: I think we want to get it to position it for if you're doing work-related things, for lack of a better word, right?Who ChatGPT Work Is ForAkshay Nathan [00:07:42]: I think productivity is what, like, the pillar that I support. Like, that's the name of the team. And the reason for that, the reason we call it productivity and not, like, enterprise or, like, work or something like that, is because there's also personal productivity, right? And, like, I think ChatGPT Work is I've seen people do things in their personal lives that you wouldn't classify as, like, work technically, but, like, these agents are, super capable for. Like, one recent example that someone posted about, on our Slack is, like, someone had, like, a missed package, like they didn't receive it, and then they got, like, the picture of it, from Amazon or whoever the courier was, and they, like, asked ChatGPT Work to, like, find out where that package is. And, like, the agent, is extremely tenacious and, like, took the image and, like, looked at a bunch of, like, listings around their neighborhood and figured out exactly the apartment complex in which the package was, like, gave them some information. And so, like, I think there's all these things that, like, you, work-related or productivity-related things, I think that's what we want the product to be. You asked about Codex. I think we think Codex is, a durable brand, but we have a principle that, like, the user we don't want a user to get stuck in a tab or an experience where they don't get the power of the product. And so, like, everything that you can do, in the Codex portion of the product on desktop, you can do in ChatGPT Work and vice versa. But we made some opinionated product decisions on, like, how much of the Git state, if you're in a Git repo, do we wanna expose to the end user? Or how much do we wanna make the experience of seeing the agents thinking, like, diff forward so that you get exposed to the diffs out of the box. And then, like, on the safety side, like, how do we wanna think about, like, sandboxing and making sure that we have the right defaults in one state versus the other? So, there's, like, some opinions that go behind that, but we do want We don't want the user to need to choose which experience they're in.Swyx [00:09:26]: That is a good goal for AGI, right? Like, people don't want, like, to hide to choose what version of AGI they want. They just want the AGI to decide for them. can I get an answer or, like It's not super clear to me. Is the Codex harness and the ChatGPT Work harness the same? Is it just UI affordances, or are there prompt level or even deeper differences?Shared Harness, Different UX: Codex vs. WorkAkshay Nathan [00:09:49]: So the harness is the same. The harness is shared. on In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plug-ins or computer use or artifacts. You get that power regardless of which experience you're in. On the UX side, there's opinionated takes that we have when you're in Codex mode, what the UX should be how the UX should behave, and some stuff around the sandbox like I mentioned, but the underlying harness and capabilities should be the same.Swyx [00:10:16]: I'm just kinda curious. Maybe we can, -- Is there a query that we can run that would look different in the two modes?Akshay Nathan [00:10:23]: Yeah. I tried to create, like ask it to create, like, a retirement calculator spreadsheet or something, in both modes. And then in Codex mode, you might have to be in a repo for this, but you'll see, like, the diffs of, like, the sheet that it's creating and stuff like that, and the file edits. But in Work you won't be able to see that.Swyx [00:10:42]: I think that's, that's super clear. And then also the other thing I wanted to dive into was your, the productivity team. what else is there? first of all, what are the top-level teams other than productivity? Isn't productivity everything?Productivity Teams and Core ChatAkshay Nathan [00:10:55]: SoSwyx [00:10:55]: Science?Akshay Nathan [00:10:55]: We have a team focused on ChatGPT. Like, the core chat experience, for consumer, which is like, not, I think all productivity. Like, there'People are using ChatGPT every day for search to, figure out how to write messages to loved ones, to think about, how to, like, learn a new topic, et cetera. And so there's so much more inside to create images. And there's so much more in chat that, the hundreds of millions of users are using that warrants, like, a very dedicated effort. And there's teams focused on enterprise and infrastructure and API and stuff like that, so.Swyx [00:11:33]: I will bring it up.Retirement Calculator Demo and Git-First UXSwyx [00:11:34]: Yeah. So I have them both running. This is ChatGPT Work. There's a Codex version here. I picked “Five Little Ducks” song, so this will take a while.Akshay Nathan [00:11:43]: Huh.Swyx [00:11:43]: I think we'll just keep it in the background and, as they finish, we'll look into some of the differences.Akshay Nathan [00:11:48]: Yeah. But immediately, I think if you flip back to the Codex version you'll see that,Swyx [00:11:53]: That it assumesAkshay Nathan [00:11:54]: Like theSwyx [00:11:54]: It assumes Git. Yeah. Yeah.Akshay Nathan [00:11:56]: The, like, dynamic island assumes that you're in a Git repo. And you might miss some stuff because some of it is, like, in the actual chain of thought with those changes and how we display that, but yeah.Swyx [00:12:07]: Is there an unintuitive like, is there a thing that you wanted to ship and then you got feedback, and you were like, “No, let's not do it?” Like, what's the thinking behind that?Why Merge the ExperiencesAkshay Nathan [00:12:14]: In, ChatGPT Work?Akshay Nathan [00:12:17]: I think one direction we could have gone with this is, like, keeping the experiences, like, completely separate. So it's like, whySwyx [00:12:22]: Different apps.Akshay Nathan [00:12:23]: Exactly, like different apps or even in the same app, like different, completely different experiences. Like, why merge it all? Like, what is. Codex, people love. Like, why bring these products together? And I think the intuition here is that, like, all of our jobs are, like, changing dramatically with AI. Like, for, like, every few months, like, I feel like I wake up, and I'm, like, doing a completely different thing than I was doing a few months ago. And my hypothesis here is that, or I should say our hypothesis is that, like, part of what we're, we're building, this technology is giving people leverage. Like, the things, maybe it's the more mundane parts of your job or parts that, like, if you were able to automate, you'd be able to share more ideas faster or whatever, like, you're able to do now. And because of that, like, that might blur the lines between someone who's, like, only writing code or creating strategy docs or, planning events or, helping with marketing or doing podcasts or whatever, right? And so, like, these things are gonna get blurred over time. And so, like, trying to draw a hard boundary based on, like, the who you are is gonna be, is gonna be tough. And, like, we should enable users to choose, but we shouldn't box them in. And so a lot of the work that went in here, like, keeping the primitives the same, like for example, plugins are, like, unified across, this product and ChatGPT and the cloud, was because of that. It's this thesis that, like, eventually things are gonna come together and we don't wanna be Like, we wanna be prescriptive about when to be in either experience, but we don't want to box anyone in.Swyx [00:13:45]: I wonder if there's users who are very tuned to the old ChatGPT harness that is effectively now replaced by the Codex harness. I can't imagine what that was, but maybe they're more the more conversational side. Can you compare and contrast the two harnesses? ‘Cause only you've seen it.Akshay Nathan [00:14:02]: Yeah. I think ChatGPT, the existing harness, like, still exists today. Like, it exists in this app,Harness Engineering: ChatGPT vs. CodexSwyx [00:14:08]: The classic, right?Akshay Nathan [00:14:09]: TheVibhu [00:14:09]: You just start a new chat, and you don't go under Work, right?Akshay Nathan [00:14:13]: Yeah. If you startVibhu [00:14:13]: SoAkshay Nathan [00:14:14]: A new chat and go to chat, then you're, you're talking to ChatGPT with the instant model.Vibhu [00:14:16]: Oh, we can technically do another. But on instant.Swyx [00:14:21]: Yeah. So this one's not gonna code or it's gonna be in line. It's on a in line in a sandbox.Akshay Nathan [00:14:26]: It'llVibhu [00:14:27]: Oh, that's coolAkshay Nathan [00:14:27]: We try to push you to go to Work if you're creating a spreadsheet. Yeah, but this isSwyx [00:14:30]: And this is a router decision? Sorry. Is it a router decision?Akshay Nathan [00:14:34]: This is the decision that, the model is making, and then, like it sees that you're able to. or you're trying to do something that would be better served in Work mode. But I think your question was like, what are the advantages of, like, the chat, like ChatGPT chat harness?Swyx [00:14:48]: It's more broadly, like, I wanna, do an oral history of harness engineering. Right? the ChatGPT harness lasted us from, let's call it the ‘01 era, until now, and now it's being replaced by the Codex harness effectively. And they're, they're overlapping somewhat, but I'm curious what changed if there is.Akshay Nathan [00:15:10]: My perspective on this is, like, there's, there's, there's there's like a constant process of, like, divergence, convergence, divergence, convergence. And in chat, like, many of the use cases I was talking about before, like, search or learning, I think we're, we're really optimizing for latency and optimizing for personality and, like, different things that, over time, like the product The reason people love ChatGPT is because we've been optimizing for those things and working on them for so long. Codex, what we learned was that, like, if you give the agent access to this infinitely flexible environment as a computer, it can do really powerful things. And so when we think about, like, okay, well, for knowledge work, like, what is which mode should we choose? It was like it felt more natural to us to bring that to this, like, computer environment and, maybe abstract some of the details of this computer away from users who might not be used to that, but, like, give them that same power. But ultimately, I think that we want the power in all places, right? We wanna meet people where they are. So I'm sure there'll be work down the road in order to get things to be, equivalently capable in all scenarios. But it's just a question of, like, what we've been focusing on the product on historically and what we're focusing on now.Models, Defaults, and the Reasoning SliderVibhu [00:16:24]: I think alongside that, outside of just harness and when to use Codex, ChatGPT, or Work, there's also the new models you've released, right? any guidance there? So people love to min-max what to use, like only use Terra on high reasoning versus, for this, you wanna use Sol here, ignore all theseAkshay Nathan [00:16:44]: There's 32 options.Vibhu [00:16:46]: But, that being said, for people that are expanding, so, productivity trying stuff for work that don't have the breakdown of what all this is what's, what's the advice, right?Akshay Nathan [00:16:59]: Well, I think before the advice, like the first thing is, like, none of this would be possible without these models. Like, the, I think you asked earlier, like, what was, like, the inspiration for work and, like, early on, like I mentioned, like, what we were seeing with Codex, but that was also because the models were getting infinitely more capable. That's happening again. I think it's like another step function jump now. And to answer the question on advice, like we want this default to be the best possible. Like, we wanna be opinionated about the default, and so we've we've chosen a default that we think is gonna be the best for everyone. And, we have for power users options under the hood. We could One could argue that there might be too many right now, and we're, working on simplifying it. But you can extend, the reasoning level, and you can change between the different model classes if you need to, but the default should be the best for most use cases. So my advice to most people would be to stick to that. And then, if you reach a situation in which you think that you could, you wanna try, a different configuration, if you're not seeing either the efficiency on the cost side or the quality on the intelligence side, then you can change the defaults and see if you can get something better. But we think that the default should be good enough.Swyx [00:18:09]: I have, I'm just gonna run something by you since you have way more experience than me. I've recently been doing Sol Lite but with goal, with the idea that the goal augments the reasoning effort, but with more terminations and turns.Swyx [00:18:24]: Is that a good way to think about it as opposed to Sol Ultra or Sol, Extra High?Akshay Nathan [00:18:29]: Yeah. It's hard to say becauseSwyx [00:18:31]: Yeah. It's like an interaction effect.Akshay Nathan [00:18:33]: exactly. It's like there's a preference on, for you as an individual, like how do you like to collaborate with the models? Like how many of those like terminations, as you call them, do you want where, you can steer or make sure that it's doing the right thing?Akshay Nathan [00:18:46]: I think generally people should try whatever works for them. I think that like using Ultra or the like multi-agent setups are best for like when you have like tasks that are either incredibly complicated, like open explorations or very paralyzable. I think even for tasks using goal, I think is best for tasks that you'll be able to make consistent progress in a way that's verifiable over time. But I think for most tasks, they don't fall into either of those buckets. And so like at least when they're starting, and so that's why I think the best first step is like trying it with the default configuration and then seeing like where you wanna go from there.Swyx [00:19:29]: Right. You guys worked on a slider, which is super helpful for reducing the amount of panic.Vibhu [00:19:36]: It's nice on mobile at least. There's a nice slider there.Swyx [00:19:38]: It's nicer.Vibhu [00:19:39]: I haven't tried it.Swyx [00:19:40]: So you have the advanced view there, but if you click advanced view. Yeah.Vibhu [00:19:44]: Ooh, it's just a nice slider. Yeah.Swyx [00:19:46]: Very pretty, very colorful.Akshay Nathan [00:19:48]: Yeah. The idea was here was like reduce it to like one dimension even though there's multiple dimensions, right? Try to project it onto a single dimension for the user. Like, something from that represents like, speed and efficiency on one side and then like quality and thoroughness on the other side.Artifacts, Spreadsheets, and the Work LaunchSwyx [00:20:04]: I am just puzzled that it uses Sol so much, like the lowerVibhu [00:20:07]: NoSwyx [00:20:07]: Grounds I would've usedVibhu [00:20:08]: I think the slider, if I'm not mistaken, isSwyx [00:20:09]: Terra.Vibhu [00:20:10]: Oh, it is.Swyx [00:20:11]: Yeah. See? So they preset Terra to only be the light one. But like I think a lot of people would more people should use Terra. One, because Sol keeps running out of capacity.Vibhu [00:20:22]: I'm the reason. Here's ten minutes of ourSwyx [00:20:24]: There you goVibhu [00:20:25]: Retirement calculator.Swyx [00:20:26]: Oh, that's the Excel thing working for you.Vibhu [00:20:28]: This is,Swyx [00:20:28]: Oh my God. Look at thatVibhu [00:20:28]: This is work, and then Codex is still cooking, so we'll get back into it. I think it'll be interesting to see the thought process, the reasoning, and also, this is eight minutes on work. Codex is still cooking.Swyx [00:20:41]: Yeah. And by the way, so I've, do Gabriel Chua? He's part of the OpenAI Singapore team. He showed me this, and I was like pretty shocked that this looks like Excel. It edits Excel files. You never paid an Excel license, right? Like, but somehow this is like workable and it's agentic Excel.Akshay Nathan [00:21:01]: Yeah. one of the big like pushes that we made for this launch was like artifacts, right?Akshay Nathan [00:21:05]: Like both on the model side, like I think if you compare this with GPT-5.5 and GPT-5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of these artifacts and then also on the product side.Vibhu [00:21:16]: The UX side is also crazy, like hosted sites and whatnot. No longer needing to host your own little webpage, like itSwyx [00:21:23]: Oh, I have a story about that. I can do, a separate thing. I'll need to take the visuals here, but we-we'll, we'll cut to that later. Was there co-training, because you were moving making this big move and you launched GPT-5.6 on the same day as ChatGPT Work? Was there influence between the model training teams and the harness teams, or did they did the launch dates just happen to line up the same day?Akshay Nathan [00:21:46]: I think the we collaborate heavily with the research teams, and I think that's like one of the most magical parts of the job, like the most fun parts of the job. But yeah, just using artifacts as an example. Like, a lot of what you're seeing, like underneath the hood, there's a lot of work that went into making sure that like, we had the right infra to be able to train the models to get better at this. And then on the product side, like had the right experience for users to be able to collaborate with the model on an artifact like this. In fact, like this whole viewer, like the intuition here is that like, it's not necessarily that you wouldn't need an Excel license. This is stage one, right? Like, this is probably not what you meant when you're like making a retirement calculator.Vibhu [00:22:24]: Yeah, you can iterate very easily. Yeah.Akshay Nathan [00:22:24]: You wanna iterate and like when you're seeing it, and if this thing is high fidelity to like what you would see in or what your coworkers would see if you were to send this to Sean, like that I think makes it so easier and makes you trust the product in terms of iteration.Vibhu [00:22:39]: When you say coworkers would see, do you see a multiplayer, multi-team collaboration with artifacts? Any things you guys think about that?Multiplayer Artifacts and CollaborationSwyx [00:22:46]: You can already share it, right?Akshay Nathan [00:22:48]: Yeah. It's inter It's something that, we're actively thinking about. one thing that, we've noticed internally without talking too much about the roadmap is that like there's many times when someone will ping me about something, and I will ask ChatGPT Work the question, and then I'll ping them back the answer.Akshay Nathan [00:23:04]: And then I'll be thinking likeVibhu [00:23:04]: Like the simplest would be, the three of us are just all on one hosted.Akshay Nathan [00:23:07]: Exactly. And I'll think about like was I required in this loop or and then maybe it was, rephrase like what they were asking or pulled from certain context or whatever. But like, when I gave them back the answer, that process was also lossy, right? Like I gave them just like my interpretation of what ChatGPT Work cooked up. But like underneath the hood, there's so much context like in the rollout and stuff that could be interesting.Vibhu [00:23:28]: Yeah, it'sSwyx [00:23:28]: So like the answer was preemptively respond to every inbound request?Akshay Nathan [00:23:33]: No, it was just like literally like this is what I do sometimes as my job.Swyx [00:23:36]: I know you copy-paste and then you're just a message forwarding serviceAkshay Nathan [00:23:39]: Yeah. Yeah, exactlySwyx [00:23:39]: From AI to AI.Vibhu [00:23:40]: But I think it's interesting, right? It helps people understand the capability of what you can ask and delegate that oftentimes people don't realize until they try or someone shows you, and then you're like, “Oh, okay. Okay, I see.”Swyx [00:23:52]: I think it's als there's also like a, light security issue, where like you're the permissions layer. Like yes, I could query everything that you query, and I could get an automated response, but maybe I'm not supposed to see it. And that there's no way I would know because I'm not supposed to know what I don't know.Akshay Nathan [00:24:07]: Especially as like, with ChatGPT Work, we're, we're asking you to connect your plug-ins and, it's pulling from your local files and stuff like that. Like the amount of context that the agent has access to is like- Deeply personal and like that's something I think we need to preserve, so that'll be definitely a challenge.Swyx [00:24:22]: There's Excel, there's PowerPoint, there's Docs, the, grand trio of work. What other formats of work do you think about? like you worked on Airtable. Is there a future where there's like OpenAI Airtable? Like what does that look like if you ever ended up doing it?Akshay Nathan [00:24:41]: It's a really good question. I think,Formats of Work: Sites as Knowledge ArtifactsAkshay Nathan [00:24:43]: one that you didn't bring up was Sites, and I think that wasSwyx [00:24:46]: SitesAkshay Nathan [00:24:46]: A core part of this launch. There's one side of Sites that I think people commonly talk about, especially on Twitter and stuff or X, of like, this like prototyping tool. And like we saw that happen with this launch even. The model slider that you guys were referencing earlier, like that was developed almost fully in a Site. Like, the collaboration between design and engineering and product on that was like on a site where we play with, the affordance and figure out how it feels and all of that. But the other aspect that I think is a little bit less talked about is like Sites as like an artifact for knowledge work. I was talking to someone the other day who's on like our corporate finance team, and like we were mentioning how like now when they have these reports that they're, they're working on as a team month to month, historically those things were in slide decks and in spreadsheets, and now they're just in Sites. And like Sites is the mechanism that they collaborate across the team. And the reason is ‘cause it's like, it's like somewhat higher bandwidth. Like, at these tools like PowerPoint and Excel are like infinitely flexible, but at some point you reach the boundary of like either as a human you may not know how to use some feature or something, or the product itself doesn't support it. But with a site you can do anything. You ask for anything and you can get that. once people see that magic, I think it's been really valuable.Swyx [00:26:02]: Yeah, let me show you my case study. this involves all the hot topics including ChatGPT Work, but also GPT-5.6 token billionaires and token maxing and Sites and auto research. I'm a fan of this game called Strata. It's, it's like a little board game that youSites, Auto Research, and Research DashboardsSwyx [00:26:17]: That you play with, physical blocks, that come on top of it like that. So over the weekend I took like thirty photos and just threw into ChatGPT. one point seven billion tokens later, out comes this site with a fully playable thingAkshay Nathan [00:26:32]: WowSwyx [00:26:32]: With 3D, block placement and everything. Because it requires physical blocks and I needed friends to train on it so they can get better, so I can play against them. But also, I could also, do things like train an AI on it and that's, thatAkshay Nathan [00:26:45]: That's your auto researchSwyx [00:26:46]: That gets into auto research. So, you want to train your own AIs, and then make sure they self-play against, each other. I need to set both AIs. So this is AI versus AI, and they're, they're gonna self-play. the AIs start out bad and then you want to define a loss function and get good. I wasn't gonna supervise all this. I was at, I was down in San Mateo, attending a conference. What I ended up doing was, auto researching and on this and creating benchmarks and that there was just way too many parameters for me to read. So I started asking it for a site, and it's created this lab, panel. Where is there a, is there a shortcut for a site that is created?Akshay Nathan [00:27:28]: You should be able to go in the sidebar to Sites, top of the sidebar. The left sidebar.Swyx [00:27:33]: This one? Oh, left?Akshay Nathan [00:27:35]: Yeah. Just scroll all the way to the top.Swyx [00:27:36]: Oh. Oh, it says Sites. Oh, there you go. Yeah.Akshay Nathan [00:27:39]: Ooh.Swyx [00:27:40]: So it create, it creates the sites. I don't, I don't think this is, it is exactly what I wanted, but let me show you what it popped up, right? Like I think as a research artifact, it is very important to communicate, exactly, what is being done. Outputs this thing which I eventually started publishing. So I moved it off of Sites because I wanted more, database and infrastructure than Sites afforded me. But this is like a research output that you can start to mess with and like try to think about like what hyperparameters are you tuning for training AIs. And like I was trying to make like scaling laws and everything and doing all sorts of like game optimization stuff. And the fact that you can just throw this up as a research artifact, like I no longer need to read ChatGPT output. I read Site output. But then there's also a huge sprawl. Like look at how long this thing is. There's so many numbers. It is pretty overwhelming, so then I have to start pruning it from there. But, it's an interesting transition from Markdown effectively that you're putting out to, you're putting out a whole functional site.Akshay Nathan [00:28:41]: I think Markdown just isn't that optimal for people to read, right? Might as well just write HTML website and I don't know. I think you can do a lot with customizing this, right? You have your skills that explain what you want. Like I noticed they're quite verbose. I don't need a lot of this information.Swyx [00:28:57]: It's very verbose.Akshay Nathan [00:28:58]: So and then the nice thing of having a site side by side is, you just iterate on what you want and what you don't, right?Swyx [00:29:05]: Yeah. I don't know if, any that triggers any stories for you of how it's run internally. Am I doing this right?Akshay Nathan [00:29:11]: Yeah. I think that this is like a workflow that we're seeing like all different types of teams use, where like the canonical artifact that was previously a deck or something is now becoming a site. And like with a site you, because it's just HTML, you can like. It's infinitely flexible. And so, if you want to give more prominence to a certain thing that like in a slide deck would, feel like it was buried, like you can do that. You can have it be like the hero image, right? And so I think that like, people are starting to see that. There's more work to be done to make these things like much more easier, easy to collaborate on. You mentioned that they're very, they're long and verbose, could be broken up. I'm sure that there's still something to do there.Swyx [00:29:53]: They're super long. Yeah.Akshay Nathan [00:29:54]: Yeah. But I think we're starting to see that like there is this aspect of this is a really interesting, format, for people to use, that's like much more flexible than what they ever had before.Swyx [00:30:07]: I think your job also comes becomes meta. You're not designing the products. You're designing a product to make products, and I'm curious how you manage that.Designing a Product That Makes ProductsAkshay Nathan [00:30:18]: I think one thing that we've been Like when we look at the UX, like that we've been thinking a lot about is how can we balance like simplicity with capability? Like if we're designing a product, like you said, that like is made to make up build other things, right? You can build so many different things. But we can't put that all in front of you because you'll get overwhelmed.Vibhu [00:30:41]: Yes.Akshay Nathan [00:30:41]: And so we had similar problem or similar challenges even Chat-with ChatGPT, but especially now, like when there's so much that can be done, I think the balance that we're constantly trying to strike is like, how can we give the user enough of a UI surface where, they can be expressive, they can tell the agent what they need, they can verify that it's using the right tools, it's pulling from the right sources, et cetera, but then it gets out of the way. And then how can we build the right system such that we can show them instead of telling them what can be done? Because so much of this is gonna be like, how do they discover the next use case and the next one after that if they really want to be super powered by the AI.Games, Private Evals, and Show-Don'TellVibhu [00:31:19]: Yeah. It's interesting. I feel like everyone also just has a different way to do it, right? I made a similar version of this same game. I didn't take any pictures of board or rule game. I threw in at goal eighteen minutes, fifty-three seconds later, a lot of tokens later, I've got a similar version. not with all the auto research and whatnot, butAkshay Nathan [00:31:39]: You gotta do all the latest trends.Vibhu [00:31:40]: And yeah, I did it with, did it with Codex, not Work, but it's interesting, right?Akshay Nathan [00:31:45]: Yeah. And this is GPT Image generating the pro avatars. Very good for game design. LikeVibhu [00:31:51]: AndAkshay Nathan [00:31:52]: A lot of game designers were like really into GPT Image for assets.Vibhu [00:31:54]: I will say like the broader takeaway probably is the reason that we do this is more so just to test the tools, right? Like, this was also a test for GPT-5.6 came out. I had done the game on GPT-5.5, right? The ability for me to no longer need it to. I had to feed it the rules. It's, it's a pretty niche game. It couldn't find how to do this on its own.Akshay Nathan [00:32:15]: Oh, yeah.Vibhu [00:32:15]: GPT-5.6Akshay Nathan [00:32:16]: It is out-of-distribution, which is why I was also very keen on testing the GPT-5.6 capability.Vibhu [00:32:21]: But, this is just as work comes out, as new things come out, these are just our side ways to test things, right?Akshay Nathan [00:32:27]: Yeah. It's some private eval. That is not this private.Vibhu [00:32:31]: But also valuable because now you can send this to your friends and I learned about this game through seeing this.Akshay Nathan [00:32:36]: It's a hard game. He's very good.Vibhu [00:32:39]: It's good to when no one is competing with you. But yes, it's a classic RL problem of like self-play, bootstrapping your game AI. yeah, you see how easily work becomes personal and personal becomes work because the thing I do for personal, it directly informs people I work with because I showed it to them. They were like, “Oh, you can do that with GPT?” Which like I imagine is the growth strategy.Akshay Nathan [00:33:02]: Yeah. The show not tell is a big piece that, I think we've we're not still not fully cracked of like, showing people all the things that they can do with the product versus like trying to teach that to them through like, articles or onboarding or whatever.Akshay Nathan [00:33:18]: So meeting them in the moment.Vibhu [00:33:19]: It's a career risk for me, because I used to be in developer relations, right? Where your job is to show, and then you're like, “What do you mean? You don't, you don't need.” your job is to tell. And then. But the product people are like, “Well, we don't need you if our product is intuitive enough.” SoAkshay Nathan [00:33:37]: Yeah. that's the magic of the models. So you can tailor the telling or the showing to like specifically what the user needs, like what they care about, what they've done in the past, exactly where they are on the adoption journey. So I think that's like gonna be a super big opportunity.Vibhu [00:33:50]: Seems easier and easier now to tailor custom showing, right? People have different use cases. As much as you said you don't wanna segment different people into different buckets, right? It's also not that hard to for people that are in different categories. But the question, is you said your team is more broadly on. What was the term you used? Productivity?From Developers to Knowledge Work to EveryoneAkshay Nathan [00:34:12]: Productivity.Vibhu [00:34:12]: Productivity. So howAkshay Nathan [00:34:12]: Which is now work.Vibhu [00:34:14]: Is it work? Is there another distribution that we're not hitting? Is there a group of people that will have something different than ChatGPT, Codex or Work? Is there more that the mass isn't targeting?Akshay Nathan [00:34:28]: I see it as like a sequencing, like. The vision is like bring useful agents to everyone. We started with like developers. Like developers historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, Codex started. I think the next opportunity is like what we call general knowledge work, all the other functions around developers. I think when you go from developers to this segment, like there's inherent challenges with like, this show not tell thing that we're talking about, making the product more understandable, bringing in new capabilities that matter more for this cohort than matter for developers, things like artifacts, things like computer use, et cetera. And then I think like the same learnings, like similarly how we took the learnings from developers and brought it to, general knowledge work, the next stage will be like taking the learnings from general knowledge work and bringing it to everyone no matter what they're doing in their lives. And we're already seeing that a little bit. Like this game example that you have is, something that's like on the border of like fun and personal life to, your professional life. I use ChatGPT Work full-time at home for everything, like for whatever I'm doing. I used it the other day to come up with a meal plan and like, save that on the like computer environment that it has and something that I can continue going back to. Like is everyone doing that yet? Probably not because the thing says work on it, but eventually, we wanna get people there.Vibhu [00:35:51]: ChatGPT life.Akshay Nathan [00:35:52]: Yeah, exactly. ChatGPT cooking. But I think there's a lot of, there's a lot of opportunity there, but I see it as like, we're, we're built we built a foundation in software engineering, and we're gonna take the same learnings that we take from software engineering to knowledge work to everyone.Vibhu [00:36:07]: Do you have any power user advice? I feel like, there's a group of people that will live it, use it for everything, stay on it twenty four-seven. And then there's a bit of a gap between that crew and people that, okay, I use it for work. I use it occasionally. Sometimes I type questions. any advice, any learnings, anything you recommend or just, takeaways that you've found that help bridge that gap?Power User Advice: Push the Frontier of ImaginationAkshay Nathan [00:36:30]: I think a couple things that I've seen is like, one, that it really helps to broaden your imagination of what's possible, and this has been a learning even for me. Like, the technology has progressed so fast that, something that, like, even three months ago, like, no way the models can do this. Like, now it's like, wow, it's like it can. Like,Swyx [00:36:52]: Give an exampleAkshay Nathan [00:36:52]: We're going through right now our, like, review cycle internally, and, people always talked about this as, like, a thing that the models are good at and like, there's a cliché of like: Okay, like, no one wants to be writing reviews and, like, we just use AI to do it. But in all seriousnessSwyx [00:37:09]: And it can evaluate it as well.Akshay Nathan [00:37:10]: Yeah, exactly. In all seriousness, before it was, like, just, like, slop and, like, I think it was helpful, but, not super productive. Now I've found that, like, the model can do a much better job than me, especially in this environment of, like, pulling context on, like, what people are up to, how they've like the things that they've done to make a difference, highlighting like, wins that they've had that, like, I might may not even have seen. It has access to, like, everything, right? Like the code, like, things that they've caught, reviews, Slack, everything. And so it's, like, incredibly powerful in that domain and, like, just like six months ago, the last time we did this cycle, like, I didn't even I tried using it, but it was not at all helpful. And this time it's been, like, incredibly helpful and, like, so I think continuing to push the frontier of imagination of what's possible, even if you tried something before, I think is maybe the my biggest piece of advice. The other, thing is, like, the more you put in, especially in this environment where, like, the model has access to everything on your computer or in ChatGPT Work, like you can create, artifacts over time and save them in your library and, like, the model will continue having access to those. Like, the more information you give it about whatever domain you're in, whether it's your life or your work, the more valuable it becomes, and it'll become valuable in, like, ways that might surprise you. Like, it might pull from context in a way that, may be proactive and that you might not even have thought about. But it needs to have access to those, to that those tools or that context first.Reviews, Agentic Search, and Context GatheringSwyx [00:38:27]: One thing I just wanna talk about the review stuff because I'm still that's a very sensitive thing and you're, you're a founder, you've managed people, you've hired people. As manager myself, I'm very reticent to put out any LLM-generated things especially when it comes to people, ‘cause it feels like you don't care.Swyx [00:38:46]: Presumably at OpenAI, people are more open to being eval rated by GPT. But are there any unofficial rules around this? Like, what's the etiquette?Akshay Nathan [00:38:57]: Oh, I think the etiquette is that, like, I would never write something via, like, well, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context. That's the place where it's incredibly helpful.Swyx [00:39:08]: So it's just search.Akshay Nathan [00:39:09]: Yeah, exactly.Swyx [00:39:09]: It's agentic search. Yeah.Akshay Nathan [00:39:10]: It's like agentic search, but, that you can tailor and steer much more capably than you could before, ‘cause, like, the thing is it's all there's a flywheel happening, right? Because of Codex, people are able to do, and because of ChatGPT, people are able to do so much more now than ever before. And if you're able to do so much more, it's easy to miss things as well. And so, like, I think we need to use these same tools to keep up with all the impact that people are having and understand, where we can be helpful.Swyx [00:39:39]: I think the thing, like, I run a small company, so easy to search, but at the scale of OpenAI with the amount of messages that you guys put in Slack, do you think that it misses things?Remembering What Humans MissAkshay Nathan [00:39:50]: Probably, but I think that I also miss things.Swyx [00:39:52]: Like, it doesn't matter, right?Vibhu [00:39:53]: I think sometimes it'sSwyx [00:39:53]: Like it's, as it needs to be human-levelAkshay Nathan [00:39:54]: It's all relative, right? Yeah.Vibhu [00:39:56]: Sometimes it's nice when it finds things you wouldn't, right? Like right now, my Codex system prompts, they're set up in such a way that every project I have has a secret- separate, notes MD, and it just writes learnings to there. And then the global one can pull from all these. So sometimes it'll be like: Oh, there's this project you did like four months ago. Here's a note that we had, and it randomly pulls it back into context that I would never do, I haven't thought about.Vibhu [00:40:20]: And I'm like, okay, this is quite superhuman, right? Like, stuff that would. And, it'll save like hours on chunking of stuff or find something that's already been done. I'm like, as much as it might miss stuff, I would too, but it's very useful when it finds stuff. And I have like a very, non-super engineered solution to this. It's just marked down files that get pulled whenever they want.Akshay Nathan [00:40:41]: Yeah. I have a funny anecdote about this. Like, recently gearing up to this launch, the team has been, really cooking on it for a couple months, and over that time, like there's so much conversation and chatter going on in Slack and Docs and elsewhere. And, one of the members of the team set up this, scheduled tasks, like automation to like look at everything that's going on and, like, come up with the best memes and then post it in one of our shared channels. And like, there are two cool things about this. Like, the first is, like, I think the models are, over time, like starting to become like funny.Swyx [00:41:13]: Funny. Nice.Akshay Nathan [00:41:13]: Whereas like, a year ago, like that was not at all the case. The second is, it was what you were saying, like they find things that in surprising ways that you may not have thought of and like create connections that you may not have thought of. And that really helps with like the meme generation because then you can see something that, genuinely surprises you and, is funny in that way. So yeah, that's like not like the most productive, use of this the technology, but it does it does uncover this, like this capability that's emerging, which is just like to find information that you otherwise would not know of.Launch Momentum and the 10 Million User MilestoneSwyx [00:41:43]: Talking about the launch, I think, I have pretty much said this is the most successful launch in a long time. I think even more successful personally than 5.0, and they're announcing ten million users. Does it feel different? You've been through a lot of launches.Akshay Nathan [00:41:58]: I think it feels like a culmination. Well, I think two things. One, it feels like a culmination, like I was mentioning earlier, like this like vision mission that we've been on for a long time. Like I said, we saw the magic of Codex internally, and then we're like extremely excited to bring this to many more people and to see it working, to like see us reach, the distribution goal, numbers that you mentioned, like I think that's like huge and super exciting. The flip side of that is like, there's so much more to do too. Like, that's also really exciting. Like, ChatGPT as a whole, like the this product that, everyone almost equates to AI and like loves, has hundreds of millions of users. And so like ten million is really cool, but like we need to get this to everyone. Like, we need everyone to feel this magic. And so that's the next step from here. But yeah, I think extremely pumped about how it's going so far and the opportunities.Swyx [00:42:46]: Awesome. I did want to also Because I've, I've, I've been tracking the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT Work, because they're same harness. The whole point is that you don't, you can't, count them separately. Do you have roughly a billion, ChatGPT users? Why did it just jump to one billion right away? Like, isn't that the default on ChatGPT or no?Codex, ChatGPT Work, and the Developer BrandAkshay Nathan [00:43:11]: We don't default you into ChatGPT Work if you're on ChatGPTSwyx [00:43:14]: If you're free. YeahAkshay Nathan [00:43:15]: It's also only available to paid users right now. And I think there's like a process of, educating users of what is the value of this product, having them try it, learning from their feedback, and making it better over time. But the goal is to, get as many of the people who love ChatGPT today to like feel the power of ChatGPT Work. But I think it'll be a journey.Swyx [00:43:36]: Yeah. And Codex will still be alive as a brand for the foreseeable future. And we'll just toggle between them as needed for UI stuff.Akshay Nathan [00:43:44]: Yeah, I think it's even stronger point than that. Like, I think we fully intend to like, treat developer. Like, developers have been, a core market for us for so long, and like there's, there's so much more that we can do to make Codex great specifically for, software development, and we'll continue to do that. This doesn't take away from that at all. If anything, it should increase the utility of something like Codex, because now you can move seamlessly between writing a diff to creating an artifact or, doing a search over your factor.Swyx [00:44:11]: I do wonder how much this terminology leaks to the non-technical user. Like, do they have to learn to say artifact if I want artifact? Or.Akshay Nathan [00:44:20]: It's funny, like we call it artifacts internally ‘cause that's what the teams call it.Swyx [00:44:23]: It's nice. Yeah.Akshay Nathan [00:44:23]: But like externally, like no one says that, no one calls it an artifact. But I think that people like often, like describe things, whatever they're used to, right? So if, ChatGPT Work is good at creating slides, they'll say ChatGPT Work is good at creating slides, and that's what we want.OpenClaw, Personal OS, and Persistent ComputersSwyx [00:44:38]: One big Another, it's July of twenty-six. One big thing that also happens in, for OpenAI was OpenClaw, and that's I think a lot of people's first time really maxing a agent for personal stuff, but also crossing over to work in essence same way. As far as I understand, OpenClaw is still independent, but did you go through your own OpenClaw moments? Were there any lessons you took from OpenClaw to Codex or back? Whatever.Akshay Nathan [00:45:06]: I think there's a lot of inspiration. I did go through my own OpenClaw moment. I,Swyx [00:45:10]: Yeah, tell the storyAkshay Nathan [00:45:10]: Me and my wife like set up an OpenClaw to like try to manage everything in our house. Not that there's like a ton, but it was like quite useful. We gave it a calendar. It started, creating events for us and stuff. At some point, the laptop that we were running on, it died and never got a chance to pick it back up. But there was a lot of inspiration there, like, in ChatGPT Work, in web and mobile, like you get access to this like persistent computer environment where, you can store files, and those files stay around between sessions. And the idea is to be able to enable use cases like this. one of the members of our team uses ChatGPT Work for what they used OpenClaw from before, and then feel like it has like completely transitioned, which is like, workout planning and like meal tracking. which again, it's like a work-related thing, right? It's like not work necessarily, but it's like in personal productivity space. But it has all the same primitives. So it has scheduled tasks. It has the ability to store files on a file system. It has the ability to like reference those things over time. And so you start to see the same types of use cases emerge, which has been really cool.Swyx [00:46:14]: Is there a point that ChatGPT Work completely replaces OpenClaw? they're independent, so.Akshay Nathan [00:46:20]: Yeah, I'm, I'm not close to it, so I can't speak to the OpenClaw roadmap, but I don't think so. I think that there's gonna be, there's always a need for like this like incredible, like open source technology that team has built. And I think that we can draw inspiration, in the product and, ChatGPT, I think many more people have like heard about and used ChatGPT than have used OpenClaw. And if we can take the magic from OpenClaw and bring it to them, I think that'll be a success. I think that like one thing on the ChatGPT Work side that we feel strongly about is that like the core experience is that you come to this product and you have a conversation, start a session, whatever you wanna call it, with this agent. And the magic of the product is that you can do anything in that moment. And we would like to create a product where you don't have to click a button or to go to a different place, whatever, and you can get whatever functionality exists in, your finances app or where or any other product like in this one place. And so that's the goal. It's like it we want an extensible system with plugins where you can connect to the tools that you need in order to be able to accomplish like a financial task, where you can, if you're doing like science work, like we have an ability to like extend the system in such that you can like write the tech and it performs well. There'll always be like products that we support that are best in class at those things, but we want as much of the magic as possible in that core experience.Swyx [00:47:45]: Yeah. Do you think that you can do everything you used to do with Wealthfront in ChatGPT Finance?Finance, Data Access, and Centralized ContextAkshay Nathan [00:47:50]: I tried it. like ChatGPT doesn't yet custody, cash and assets for me. So that part, no, not yet. But I, there was like a whole component of like retirement planning and, like financial planning and budgeting and stuff that, we were looking into when I was there. And like with the finances plugin, like that's all possible with ChatGPT today. So, I feel

Most founders spend to acquire customers, but Kazam built an EV charging business where customers pay upfront and the cost of acquisition turns positive. Akshay Shekhar breaks down the India EV charging infrastructure playbook, from a broken first prototype to 250,000 charge points and a shot at the country's next open digital network for energy. What makes this story unusual is where it started, a Hindi and English YouTube channel reviewing early EVs, which the founder of Kazam used as cheap market research before building any hardware. Akshay Shekhar, a second-time founder who passed through PepsiCo and Godrej after a failed IKEA-style furniture venture, now runs a device-agnostic platform that helps fleets, OEMs and utilities install, manage and monetize EV charging. In this conversation with host Akshay Datt, he explains why he calls hardware a distribution wedge rather than the business, how load-balancing software cut fleet vehicles left uncharged overnight from 40 percent to under 10 percent, and why India wastes double-digit percentages of power at night that smart charging can absorb. With revenue up 4X to 6 million dollars and the India Energy Stack taking shape, the timing on peer-to-peer energy trading makes this a sharp read on where EV charging is headed.

Co-founder of From The Rumble Seat, John Bird, joins Jack and Akshay to talk about how he got to Georgia Tech, how he got hooked into the Tech sports scene, what it's been like being a diehard Tech fan from out in North Carolina for 15+ years, and passing his love of Tech to his kids.Like the podcast? Feel free to leave a like or rating wherever you get your podcasts so we can help get this podcast to more Yellow Jacket fans around the world.Hosts: Akshay Easwaran, Jack PurdyGuest: John BirdMusic: Georgia Tech Marching Band, Georgia Tech Glee Club

The Yoga Sutras name 5 hidden blocks to your inner peace — and 3 kriya practices to dissolve them. Akshay Bhat makes Patanjali simple.What if the joy you keep chasing is already inside you, and only five hidden blocks stand in the way?This conversation goes deep into the second chapter of the Yoga Sutras of Patanjali. The guest, who started studying the Yoga Sutras at just 11 years old, makes this ancient text simple and easy to follow.He begins with the three habits Patanjali names before any real practice: discipline (tapas), self-study (svadhyaya), and surrender (ishvara pranidhana). Together these form kriya yoga, the inner preparation. Without them, even strong practices can push your energy the wrong way.From there he opens the five kleshas, the inner blocks that hide our natural joy: forgetting who we really are, getting stuck in the ego, chasing pleasure, pushing away what we dislike, and the fear of death. Using everyday examples — a morning coffee habit, a stuck elevator, a frightening mountain drive in Nepal — he shows how the kleshas shape daily life, and how to loosen their grip.Still inside the Yoga Sutras, he explains the difference between Hatha Yoga and Raja Yoga (the king of yogic practice), how to clear the energy channels (nadis), and shares the Mahamrityunjaya Mantra for meeting the fear of death.If your life looks fine on paper but you still feel lost, the Yoga Sutras offer a clear map. This episode is your starting point, and the doorway to the kriyas themselves.Episode Chapters:00:00:00 Introduction00:01:01 What Are the Yoga Sutras?00:02:11 The Four Chapters of Patanjali00:03:48 The Second Chapter & Kriya Yoga00:04:18 Tapas, Svadhyaya & Ishvara Pranidhana00:09:49 What Are Kriyas?00:11:59 Cleansing the Nadis: Ida, Pingala, Sushumna00:14:55 Hatha Yoga vs Raja Yoga00:16:27 Building a Daily Practice00:21:01 The Five Kleshas, Introduced00:23:13 Avidya: Forgetting Your True Self00:26:30 Impermanence & Growth00:35:03 Asmita: The False Ego00:41:40 Raga: Attachment & Desire00:45:21 Dvesha: Aversion & Resistance00:48:44 Abhinivesha: The Fear of Death00:54:23 The Mahamrityunjaya Mantra01:00:48 The Eight Limbs of Yoga01:03:09 Posture for Meditation01:07:02 Recap: The Five Kleshas01:09:41 Closing & What's NextResources:Michael Henri's InstagramAkshay Bhat's InstagramThe IN Movement InstagramTexts: Yoga Sutras of Patanjali (196 sutras, four chapters — Samadhi Pada, Sadhana Pada, Vibhuti Pada, Kaivalya Pada); Bhagavad Gita (Krishna on sukha and dukkha; sitting straight for meditation)Teachers / lineage: Thich Nhat Hanh (impermanence — the flower growing from the earth); the Buddha (desire as the root of suffering); Mahavatar Babaji (Kriya yoga lineage)Practices / concepts: Mahamrityunjaya Mantra; Shambhavi mudra; the three nadis (Ida, Pingala, Sushumna); the eight limbs; VipassanaPlaces: Annapurna Circuit, Nepal (the mountain-drive story); Uluwatu, BaliPrior / upcoming episodes: earlier episode with Akshay on mantras (referenced — link it for topical authority per Practice 3); next episode teased on Raja Yoga, "the king of yoga"

This episode recorded live at the Becker's 23rd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference features Dr. Akshay Yadhati, Orthopedic Spine Surgeon, Austin Regional Clinic. He discusses launching and scaling a spine surgery program, expanding access to advanced technologies such as robotic and endoscopic spine procedures, and creating comprehensive care pathways that improve patient outcomes while supporting ASC growth.

This episode recorded live at the Becker's 23rd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference features Dr. Akshay Yadhati, Orthopedic Spine Surgeon, Austin Regional Clinic. He discusses launching and scaling a spine surgery program, expanding access to advanced technologies such as robotic and endoscopic spine procedures, and creating comprehensive care pathways that improve patient outcomes while supporting ASC growth.

This episode recorded live at the Becker's 23rd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference features Dr. Akshay Yadhati, Orthopedic Spine Surgeon, Austin Regional Clinic. He discusses launching and scaling a spine surgery program, expanding access to advanced technologies such as robotic and endoscopic spine procedures, and creating comprehensive care pathways that improve patient outcomes while supporting ASC growth.

Akshay shares his journey from youth outdoor activities to founding Just Act, a citizen-driven environmental organization in Kenya. He discusses the importance of citizen participation in conservation, legal civic tools, and the long-term vision for Kenya's environmental future.key topicsAkshay's journey into conservation and activismThe role of citizen participation in environmental protectionLegal civic tools for environmental advocacyThe significance of Nairobi National Park and threats to itLong-term vision for Kenya's environmental futureEny and be inspired to take action

Now that we've recovered from the horrifying loss to Oklahoma in baseball, Jack, Jake, and Akshay are back to dig into the recruiting news for Tech baseball and football, the impact of Brendan Sorsby's reinstatment to college football, and preview Billy Carlton's path at the NCAA Track & Field Championships in Eugene, Oregon.Then, we play a game to figure out who would start in a theoretical starting 11 if Tech were to field a soccer team. Like the pod? We'd love if you follow and like the show on your favorite podcasting platform. Email us at fromtherumbleseat@gmail.com or tag us on social media for any summer podcast ideas or questions we can address on a future podcast. Hosts: Akshay Easwaran, Jake Grant, Jack PurdyMusic: Georgia Tech Marching Band, Georgia Tech Glee ClubProduction: Jack Purdy

Jack and Akshay go through Tech's championship in the ACC Baseball Tournament, going to the championship game in Charlotte, preview the Atlanta regional, and discuss how much of a home run hire Ryan Hybl is for the golf team.Resources mentioned: Pear Ratings, Brentley Romine's story on HyblHosts: Akshay Easwaran, Jack PurdyProduction: Jack PurdyMusic: Georgia Tech Marching Band, Georgia Tech Glee Club

One thing that I don't like about Claude is that you get into this weird mental state: oh, I think I trust the model. Let's do the slot machine. Hit click, which puts you in an inactive mode of thinking.  Maybe it's better to use a worse model….Vincent Warmerdam, senior data professional and prolific open-source maintainer (some packages with over a million downloads), now Engineer at marimo, joins Hugo to talk about how the Python notebook is evolving from a static scratchpad into a working agent harness, and what it takes to stay in the loop as a developer when agents are writing most of the code. This episode was originally a livestream Q&A with the Vanishing Gradients audience.We Discuss:* Shared Notebook Canvas: Notebooks act as a shared memory space where agents and humans co-exist, enabling real-time visual feedback by direct manipulation of global state and UI elements;* Speed-of-Thought Models: Faster, open-weight models like Kimi K2 enhance exploratory flow by keeping humans more alert to the code, unlike frontier models that can induce passive thinking;* Pi as a Harness: Vincent favors an agent harness where agents extend themselves rather than reach for MCP, and where hooks can rigidly constrain which files an agent is allowed to read or touch;* Why PRDs Don't Fit Notebooks: Notebook work is fundamentally exploratory, so the discipline that works for shipping web apps does not transfer cleanly; the one exception is reproducing a paper;* Interactive Code Review: Interactive UIs (e.g., dragging integers) transform code into a physical object, incentivizing developers to actively review and understand agent logic;* Modular “Lego” Components: Provide agents with high-level, well-tested components (”Lego” code) instead of raw boilerplate, creating systems that are easier to debug and modulate;* Algorithm-Driven Visualization: Let the algorithm dictate the visualization needed, rather than choosing visualizations first, revealing the most interesting structures within the data;* Don't Outsource the Thinking: Pen and paper architectural planning, walks away from the keyboard, and protecting calm remain the most effective ways to keep producing good ideas in the age of AI-generated software.* Agent Auto-Healing: A marimo-specific linter solved 60% of agent errors overnight by letting agents diagnose and fix their own “slop” without complex prompt engineering;* Incremental Generation: Avoid monolithic LLM outputs; generate code one to two cells at a time to prevent laziness and ensure human oversight and learning;Vincent closes on the idea that calm, not the latest frontier model, is the most underrated tool for building well, and that we should study LLM output the way chess players studied the engines that beat them.Vincent gives several live demos toward the end of the episode. He describes them well enough to follow on audio, but the visuals are worth seeing, so check out the YouTube version here.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.You can also interact directly with the transcript here in NotebookLM: If you do so, let us know anything you find in the comments!

AB sits down with Akshay Bhargava, Cisco's VP of Product Management, AI Software and Platform, to chat about AgenticOps, how Cisco is providing guardrails to keep AI safe, and the risks modern businesses face if they fail to adopt AI quickly.

AB sits down with Akshay Bhargava, Cisco's VP of Product Management, AI Software and Platform, to chat about AgenticOps, how Cisco is providing guardrails to keep AI safe, and the risks modern businesses face if they fail to adopt AI quickly. 

In this episode, real estate expert Akshay Devendra shares his journey from a beginner investor to an industry leader, highlighting key strategies for building a successful real estate portfolio. He discusses the importance of market awareness, creative financing, and identifying overlooked opportunities such as distressed and affordable housing. Akshay also emphasizes the value of protecting investments through proper due diligence, building strong relationships through trust and transparency, and leveraging existing capital to scale effectively in today's market.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/AAPA information, and to apply for credit, please visit us at PeerView.com/WYB865. CME/NCPD/AAPA credit will be available until April 12, 2027.Transformative Care for Hemoglobinopathies: Guidance on the Gene Therapy Experience in SCD & Thalassemia In support of improving patient care, PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Beam Therapeutics and Vertex Pharmaceuticals.Disclosure information is available at the beginning of the video presentation.

Missin Curfew Ep 474 PGA Tour Pro Akshay Bhatia joins the Fellas ahead of him competing in this year's Masters to talk about the challenges that come with playing at Augusta and the experience as a player during Masters weekend. Is Pete DeBoer under pressure to make the playoffs this season with the Islanders? The Fellas react to Connor McDavid's hat trick against Macklin Celebrini and the Sharks (0:00) Intro (1:30) The Masters is here! (14:35) Coachella (20:44) J Swish's debut on NHL Network  (23:22) DraftKings Pick6 Segment (26:50) Labatt Get This Guy A Beer: Freddie Couples, Wyndham Clark, Gary Player,  Pete Deboer, Connor McDavid (38:58) Milk Carton: No Tiger or Phil at the Masters (40:54) Akshay Bhatia Interview  (47:27) Bhatia on winning the Arnold Palmer Invitational & First Time Playing at the Masters (56:27) Pro Golfers' Mindset at the Masters & Bhatia's Mentors for Augusta  SAUCE HOCKEY MERCH | https://saucehockey.com/collections/missin-curfew YOUTUBE | www.youtube.com/@MissinCurfew SPOTIFY | https://open.spotify.com/show/4uNgHhgCtt97nMbbHm2Ken APPLE | https://podcasts.apple.com/us/podcast/missin-curfew INSTAGRAM | www.instagram.com/missincurfew TWITTER | www.twitter.com/MissinCurfew TIKTOK | www.tiktok.com/@missincurfewpod Learn more about your ad choices. Visit podcastchoices.com/adchoices

- Get NordVPN with a special discount - https://www.nordvpn.com/goodareas - Get an exclusive 15% discount on Saily data plans! Use code 'goodareas' at checkout. Download Saily app or go to: https://saily.com/goodareas - Join Rob and Akshay review the crazy 1 run win by Gujarat in a battle where the last two brain cells were fighting to see who comes out third. - - To support the podcast please go to our Patreon page -  https://www.patreon.com/c/goodareaspodcast  - Head over to commbox.tv to learn more about our network. - This podcast is edited and mixed by Ishit Kuberkar,    he's at https://instagram.com/ishitk86 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We're creating our Mount Rushmores this week and it's getting controversial. Well... for us. We ranked our top four fast food items, Counselor Zachariah's favorite places to just walk around, and then Counselor Jonathan built an Anti Mount Rushmore of his most hated fictional characters of all time. Some of you will agree, and some of you will be on the wrong side of Shady Birch history. Either way, leave a comment I guess. Then we've got an 80-year-old cafe owner who spent a month baking a 6,000-pound carrot cake for his birthday. The Philadelphia airport set a Guinness World Record by lining up 1,291 cheesesteaks between terminals (kind of a nightmare imo). We're also ranting about a dog that would not stop barking in a hotel room, having an anxiety attack at TJ Maxx, why fireflies are the greatest bug alive, and Lisa Kudrow's The Comeback deserves more love. Its a fabulous episode, duh.This episode was mixed and edited by Kevin Betts.Want BONUS CONTENT? Join our PATREON!Works Cited:➜ Hooper, Ben. "Cafe Owner Celebrates Birthday with 6,044-Pound Carrot Cake." UPI, 27 Mar. 2026.➜ Kulkarni, Akshay. "For His 80th Birthday, Ted Martindale and His Friends in Quesnel, B.C., Baked a 2,500-Kilogram Carrot Cake." CBC News, 26 Mar. 2026.➜ Vejpongsa, Tassanee, and Leah Willingham. "Longest Line at Philly Airport? Cheesesteaks, Not Security." Associated Press, 24 Mar. 2026.Camp Songs:Spotify Playlist | YouTube Playlist | Sammich's Secret MixtapeSocial Media:Camp Counselors TikTokCamp Counselors InstagramCamp Counselors FacebookCamp Counselors TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Akshay and Jack recap Georgia Tech Baseball's dominant performance at Cal, the latest in the changes with the men's basketball team, softball's sweep over Boston College, and the latest about Saturdays at The Flats for football season.Resources referenced: PEAR RatingsLike the show? Leave us a rating wherever you get your podcasts and make sure to follow so you don't miss our weekly episodes.Hosts: Akshay Easwaran, Jack PurdyProduction: Jack PurdyMusic: Georgia Tech Marching Band, Georgia Tech Glee Club

In this episode of the Be Unmessablewith the podcast, Akshay shares his transformative journey from a troubled youth to a resilient adventurer and author. He discusses the importance of confronting fears, the power of acceptance, and the tools he developed to navigate pain and suffering. Through his experiences, he emphasizes the significance of stillness and self-reflection in achieving personal growth and resilience.What You'll Learn in This Episode:Why facing your fears head-on is the key to transcending themHow the mantra “the only way out is through” can transform your mindsetUsing fear as a tool for growth, preparation, and personal powerWhy accepting reality is essential to overcoming unnecessary sufferingGrab my Free Instant Reset guide: A simple guide to getting unstuck into actionCheck out Akshay 30 Mental Weapons to Transform Pain Into Power: https://d11n7da8rpqbjy.cloudfront.net/fearvana/31010473_175704919519330_Weapons_To_Transform_Pain_Into_Power.pdfConnect With JosselyneWebsite: beunmessablewith.comInstagram: @beunmessablewithFacebook: UnmessablewithnessLinkedIn: josselyneherman-saccioYouTube: @beunmessablewith

It's whiparound Friday once again with Andy anxious about his Illini. Brendan begins with some stories about Jonathan Kaye, who is playing a Korn Ferry Tour event this week on a medical exemption at the age of 55. They dig into the wildly amusing story of an alleged two-month suspension for Kaye and ponder what it would take in the modern era for such a disciplinary action. Then they get into some unsubstantiated rumors from Delhi, where the Hero Indian Open is punching as usual at DLF, including putting Akshay on the ropes. They react to news of wild dogs and snakes roaming the premises. There is a philosophical media chat about the expanded media coverage of the Masters, and if they're finding the right balance between doing too much and attempting to grow. Masters Fact of the Day goes into George Cobb, the little known architect who was the consulting design man for two decades in the postwar era. This leads to digressions about Nebraska basketball and Andy getting pulled over by a cop for traffic violations on a bicycle. They close with some golf advice on sim league cheating and aim point offenses.

Smylie Kaufman sits down with two elite perspectives in golf:First, recent Arnold Palmer Invitational winner Akshay Bhatia joins to break down his victory at Bay Hill, his evolving game, and how confidence, putting, and mindset fueled his breakthrough.Then, sports psychologist Dr. Bhrett McCabe joins to unpack the mental side of elite performance—highlighting Cam Young's Players Championship win, pressure, confidence, and why perfection is the biggest myth in golf.Follow us on socials @thesmylieshow ⛳️ & don't forget to like, comment, & subscribe for more golf insight ✅CHAPTERS:0:00 Intro & Akshay Bhatia on Winning Bay Hill 0:48 Joe Greiner Partnership & Lefty Advantage 3:40 Cross-Handed Chipping & Short Game Feel 6:25 Leading vs Chasing on the PGA Tour 8:55 Putting Breakthrough & Routine Changes 11:10 Ball Striking DNA & Shot Shaping 13:25 Driver Options & Shot Patterns 16:05 Augusta Strategy & Preparation 19:00 Confidence from Winning & Major Outlook 21:35 Tour Life, India Trip & Season Momentum23:40 Bhrett McCabe Interview Begins – Cam Young & Players Championship 25:10 Understanding Elite Confidence & Self-Belief 30:40 Why “Perfect Golf” is a Myth 34:20 Handling Swing Breakdowns Under Pressure 38:40 Winning Without Your Best Stuff 41:45 Ryder Cup Experience & Competitive Edge45:15 Chris Gotterup Conversation & Development Arc 47:30 Confidence Growth & Learning to Win 50:00 Mental Toughness vs Technical Perfection 52:30 What Separates Good Players from Great Ones 55:00 Closing Thoughts on Mindset & Performance #golf #pgatour #smylieshow #akshaybhatia #golfpodcast #smyliekaufman #golflesson #camyoung 

Two great interviews with the two most recent Tour winners. Cam Young discusses the iconic drive he hit on the 18th hole at The PLAYERS, birdieing the 17th hole island green under pressure, and delivering a 3-1-0 record at the Ryder Cup. Then Akshay Bhatia walks us through the best 6-iron he's ever hit en route to winning at Bay Hill, dealing with the broomstick putter criticism, and making it to the TGL Final with Kiz, Tiger, Max and Tom Kim for Jupiter Links.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/foreplaypod

0:00 - Cam Young Valspar recap 3:31 - Copperhead course overview 5:10 - Positional golf breakdown 7:12 - Driver usage stats 16:01 - Key stats to target 19:37 - Building your model 22:56 - Victor Hovland last year 28:51 - Course history as tiebreaker 31:43 - Akshay pricing concerns 44:07 - David Ford sleeper pick 46:47 - Ryo Hitsatsune bets 47:07 - Subscribe!   Want to build your own model or check out our expert models?  The Rabbit Hole is less than a dollar a day to use.  You can build, share, and download unlimited models! Try it today.  Get 10% just for reading this YouTube description using promo code YOUTUBER   https://bit.ly/3ZTj1Z3 Follow us on Twitter: https://x.com/BetspertsGolf Follow us on Bluesky: https://bsky.app/profile/betspertsgolf.bsky.social Follow us on Instagram: https://www.instagram.com/betspertsgolfig/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jake and Akshay run through the week of March 9 in Georgia Tech sports between baseball's series win at Clemson, softball's surprise victory against Virginia Tech, and the rest of the news from the athletics week. Like the show? Leave us a rating wherever you get your podcasts and make sure to follow so you don't miss our weekly episodes.Hosts: Jake Grant, Akshay EaswaranProduction: Jack PurdyMusic: Georgia Tech Marching Band, Georgia Tech Glee Club

Against all odds, we got an episode out this week. Akshay Bhatia gets a Signature Win at Bay Hill, winning the Arnold Palmer Invitational in a playoff. New PGA Tour CEO, Brian Rolapp, speaks about his vision for the tour. With March Madness, WBC, NFL free agency and the real start of golf season, is this the best part of the sports calendar? The Player's Championship is this week, the 4th Signature Event in 5 weeks.#golf #pgatour #Akshay #ArnoldPalmer #Brian #Rolapp #MarchMadness #ThePlayersChampionship

Send a textWelcome to episode 369 of the Chasing Daylight Podcast! This week, Matt, Joe, Jeremy, and Dan cover Akshay's big win at the Arnold Palmer Invitational and dive into the heated debate: Is he anchoring his long putter? The boys also discuss Gary Woodland's incredibly emotional interview about his battle with PTSD, Rory McIlroy tweaking his back, and Jon Rahm capturing a LIV Golf win in Hong Kong.With major season energy in the air, we preview The Players Championship, balk at the wild $900 tee times at TPC Sawgrass, and share a legendary story about playing barefoot night golf at Shadow Creek. Plus, stick around for Matt's absolute disaster class in hosting AI-generated golf trivia, and find out who takes home the ultra-rare 1-of-100 Garsen Stadium grip!Episode Breakdown:Giveaways & Gear: We announce the 1-of-100 Garsen Stadium grip giveaway and talk about the realities of equipment tinkering.Tour News & Recaps: Recapping Akshay's API victory, Jon Rahm's LIV Hong Kong win, and Rory's back tweak.Gary Woodland's Battle: Reacting to Gary Woodland's deeply emotional interview about his post-surgery PTSD.The Anchoring Debate: Analyzing Akshay's putting stroke, the long putter trend, and whether he's breaking the rules.Matt's Knee Rehab: A candid (and painful) update on Matt's grueling physical therapy following his knee replacement.AI Trivia Disaster: Matt hosts a Jeopardy-style golf trivia game powered by Google Gemini, but completely botches the answer key.The Players Championship Preview: Discussing the "fifth major" at TPC Sawgrass, $900 tee times, and making our picks for the week.High Roller Golf: Swapping stories about expensive rounds, including playing barefoot night golf at Shadow Creek.Special thanks go out to our show sponsors:

Joined by Director of Operations for GAP Marty Emeno ahead of a huge 2026 season. We get into the BMW GAP Team Matches, the Major calendar and more! Akshay wins the API in a playoff, big news from the PGA Tour. The Tea with D, a Preview of The Players and See The Line with BetParx! Thanks for Wear SPF, Buy My Ballz and BetParx.

Players Preview & Picks | Daniel Berger vs. Akshay Bhatia | Scheffler Panic | McIlroy WD & MoreOn the show we recap API and talk through best bets for Akshay in 2026. Is it the Max Homa caddy change that is making the difference. Scott Scheffler panic alarm continues to be hit. Could he be on a Matt Wolff mental decline. Rory McIlroy WD's after a back injury and is ready for The Players. Does Rickie 'Bucky' Fowler look like Leonard DiCaprio? If so does Howard Sterns Beetlejuice look like Denzel. We get into The Players 2026 best bets. We like Min Woo, Si Woo and more. Looking forward to a great week. We also chat some movies with best villains over the years. Is Jack better than Heath, Keaton over Bale?03:00 Travel Stories and Upcoming Guests06:01 Golf Insights and Tournament Discussions08:55 Analyzing Player Performances and Strategies11:59 Controversies in Golf: Anchoring and Equipment18:00 Press Conferences and Player Personalities24:29 Tournament Insights and Caddy Changes27:24 Upcoming Tournaments and Player Performances30:51 Tiger Woods and Tournament Eligibility32:14 Panic Alarm: Player Performance Concerns35:03 Recent Winners and Betting Strategies38:43 Heroes and Villains in Golf Betting41:23 Analyzing Player Stats and Future Bets48:10 Betting Insights and Predictions50:58 One and Done Picks53:59 Film and Character Discussions57:03 Recency Bias in Film Characters01:00:10 Batman and Villains Analysis01:02:55 Future Movie Ideas and RemakesApparel for the show provided by turtleson. Be sure to check them out online for the new season lineup at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://turtleson.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠/⁠⁠⁠⁠ Thanks to Fantasy National Golf Club for providing the stat engine for the show. They can be found at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.fantasynational.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Neat Glass. Be sure to check out The Neat Glass online at ⁠⁠⁠⁠theneatglass.com⁠⁠⁠⁠ or on Instagram @theneatglass for an improved experience and use discount code: bb10 to receive your Birdies & Bourbon discount. Thank you for taking the time listen to the Birdies & Bourbon Show for all things PGA Tour, golf, gear, bourbon and mixology. Dan & Cal aim to bring you entertaining and informative episodes weekly. Please help spread the word on the podcast and tell a friend about the show. You can also help by leaving an 5-Star iTunes review. We love to hear the feedback and support! Cheers. Follow on Twitter & Instagram (@birdies_bourbon)

Akshay Wins API! Anchoring Debate! 2026 Players Preview! Rory's Back?Picks & Best Bets! Fifth Major?! TORNADO WARNING!MUCH MORE!!! FOLLOW @The73rdHole on X & Apple Podcasts! LISTEN on The Sports Animal App & GolfOklahoma.org!

Interactive notebooks were popularized by the Jupyter project and have since become a core tool for data science, research, and data exploration. However, traditional, imperative notebooks often break down as projects grow more complex. Hidden state, non-reproducible execution, poor version control ergonomics, and difficulty reusing notebook code in real software systems make it hard to The post Reinventing the Python Notebook with Akshay Agrawal appeared first on Software Engineering Daily.

Two-time Players Champion Hal Sutton joins as this week's guest and he came armed with some incredible takes, plus a legendary story about what Tiger Woods said to him in 2000. We also make our picks for TPC Sawgrass and break down a wild back-nine battle between Daniel Berger and Akshay Bhatia, who the internet wants to investigate for anchoring. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome back to the Sorry to Interrupt podcast! Tom and Sean are back for another edition of PGA Weekly on the pod as the guys break down Akshay Bhatia's third career PGA Tour win in a Playoff over Daniel Berger at the Arnold Palmer at Bayhill. Next, the guys work the leaderboard before making their picks for The Players Championship before wrapping up with a game of “buy or sell” for a group of notables to Top 20 this weekend at TPC Sawgrass. Everyone enjoy the pod and remember to rate, review, and subscribe!

Interactive notebooks were popularized by the Jupyter project and have since become a core tool for data science, research, and data exploration. However, traditional, imperative notebooks often break down as projects grow more complex. Hidden state, non-reproducible execution, poor version control ergonomics, and difficulty reusing notebook code in real software systems make it hard to move from exploration to production. At the same time, sharing results often requires collaborators to recreate entire environments, limiting interactivity and slowing feedback. Marimo is an open-source, next-generation Python notebook designed to address these problems directly. Akshay Agrawal is the creator of Marimo and he previously worked at Google Brain. He joins the show with Kevin Ball to discuss the limitations of traditional notebooks, the design of reactive notebooks in Python, how marimo bridges research and production, and where notebooks fit in an increasingly agentic, AI-assisted development world. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Reinventing the Python Notebook with Akshay Agrawal appeared first on Software Engineering Daily.

Akshay Bhatia wins in a playoff over Daniel Berger at Bay Hill, Dan Bradbury wins on the DP World Tour, Jon Rahm wins LIV Hong Kong and the 4 Aces claim the team title. We also had Mi Hyang Lee battling a shoulder injury to win the Blue Bay LPGA to wrap up the Spring Asian Swing on the LPGA Tour. We break down the results across the world of golf and discuss who is in form leading into The Players Champ. Down the leaderboard, news and notes, and a whole bunch more! Presented by Titleist. Support our sponsors: Titleist - the #1 ball in Golf! High Noon - Sun's Up! H&B - NLU10 at https://www.hbgolf.com SoFi - Get Your Money Right at https://www.sofi.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

Andy and Brendan are just about ready to head down to Ponte Vedra for a "major" March event, but we've already missed out on one Players tradition! Andy can't believe that the yearly TPC Sawgrass arrival videos did not make it into Sunday's Arnold Palmer Invitational broadcast. NBC couldn't cut away from a duel between Daniel Berger and Akshay Bhatia on the back nine that ended with Akshay's third playoff win on the PGA Tour. The two break down Bhatia's comeback win and standing in the game as one of the premier players under the age of 25. The constant comparisons between Rickie Fowler and Arnold Palmer and some complaints from Justin Thomas regarding the setup at Bay Hill also feature prominently in this Arnold Palmer Invitational recap. The Players DID release their featured groups on Sunday afternoon, leaving a spot for an injured(?) Rory McIlroy and a struggling Justin Thomas to be on non-stop coverage for the first two rounds. Andy's "Event of the Week," the Puerto Rico Open, was "must see TV" with a leaderboard full of young talent including John Daly II, Blades Brown, and winner Ricky Castillo. Patrick Reed notched another DP World Tour top 10, but could not stop the blaze of Dan Bradbury at the Joburg Open. Brendan then shifts the conversation to Jon Rahm's win at LIV Hong Kong, his first individual win since 2024. Neither Brendan nor Andy are moved much by this win for Rahm and point out that maybe playing a LIV schedule is not the best preparation for a major championship, unlike the test presented by Bay Hill this week. Lastly on results, Zach Johnson is one-for-one in his Champs Tour career, taking down the James Hardie Pro Football Hall of Fame Invitational! Sorry to all Ben Crane bettors, as he finished outside of the top 30 in his Senior Tour debut. This Gambling Podcast regrets the error. Check back on Tuesday as Andy and Brendan go live(?) to preview the 2026 Players Championship! Thank you to Optum for their support of our Players Championship coverage.

House and Nathan are joined by Justin Ray to recap Akshay Bhatia's win at the Arnold Palmer Invitational. Then, they preview The Players and share the golfers they think can make some noise, including their sleeper picks. Finally, they discuss what Brian Rolapp may say at his press conference and share their winner picks.(0:00) Welcome to Fairway Rollin' with Justin Ray!(1:45) Akshay Bhatia's short game was phenomenal(6:40) Who else impressed at API?(29:20) Let's preview The Players(49:15) What sleepers do we like?(57:45) On Brian Rolapp's upcoming press conference(1:02:20) Players Championship winner picksThe Ringer is committed to responsible gaming. Please visit www.rg-help.com to learn more about the resources and helplines available.Hosts: Joe House and Nathan HubbardGuest: Justin RayProducers: Tucker Tashjian, and Mike Wargon Learn more about your ad choices. Visit podcastchoices.com/adchoices

Akshay Bhatia delivered one of the most electric Sundays of the PGA Tour season at Bay Hill, draining over 144 feet of putts and storming back to win the Arnold Palmer Invitational in a playoff. Smylie Kaufman and Charlie Hulme break down how Bhatia's short game carried him to victory on brutally firm, “crispy” greens that had the entire field on edge all week.The guys also dive into Daniel Berger's incredible comeback, analyzing the encouraging signs after nearly two years battling injuries and setbacks. Plus, they discuss strong performances from Ludvig Åberg, Cam Young, and Collin Morikawa, what it means heading into THE PLAYERS Championship, and why Bay Hill's setup produced one of the most entertaining tournaments of the season.And of course, things get chaotic when Judge Jaxon Brown enters the courtroom to rule on the Rory McIlroy withdrawal in the show's One-and-Done contest.Follow us on socials @thesmylieshow ⛳️ & don't forget to like, comment, & subscribe for more golf insight ✅CHAPTERS:0:00 – Bay Hill delivers2:06 – Golf season is officially back3:08 – Bay Hill's greens4:14 – Smylie's “Snap, Crackle, Pop” crispy greens rankings6:47 – Major championship courses with the craziest greens10:15 – Akshay Bhatia21:04 – The clutch putts that saved Bhatia's round23:40 – Daniel Berger29:13 – Bay Hill's intimidating visuals and pressure moments31:10 – Scottie Scheffler34:12 – Cam Young37:04 – Ludvig Åberg38:12 – Collin Morikawa38:48 – The Rory McIlroy One-and-Done controversy47:36 – Ryder Cup49:00 – Luke Donald's leadership and Europe's continuity50:30 – Could Tiger Woods captain the U.S.?55:30 - Jon Rahm1:10:00 – Closing thoughts and wrap-up#pgatour #golfpodcast #smylieshow #smyliekaufman #golfhighlights

Gary Williams hosts a two-hour edition of 5 Clubs as the PGA TOUR heads to Bay Hill for the Arnold Palmer Invitational.Webb Simpson, 2018 PLAYERS Champion and U.S. Open winner, joins in studio to discuss the evolution of TPC Sawgrass, the challenges of competing as a part-time player, and what makes the Arnold Palmer Invitational such a demanding test. Two-time PGA TOUR winner Akshay Bhatia also stops by to share thoughts on his early-season form and the key stretch of events beginning at Bay Hill.Brendon de Jonge breaks down Scottie Scheffler's recent starts, Rory McIlroy's strong West Coast swing, and which rising young players could make a move during Florida's biggest weeks. Sports Business Journal's Josh Carpenter adds insight on PGA TOUR scheduling discussions, potential structural changes ahead, media rights trends, and the growing business landscape around signature events and major championships.With Bay Hill setting the stage for one of the premier events of the season, this episode covers competitive storylines, the business of the game, and the momentum building toward THE PLAYERS Championship and beyond.5 Clubs airs on Golf Channel and SiriusXM PGA TOUR Radio (Channel 92).

Akshay Verma, COO of SpotDraft explores his non-linear journey through the legal industry. From his early days as a big-law paralegal to lawyer to a business development role to leading legal operations at tech leaders like Facebook and Coinbase, Akshay shares his unique perspective on why the most successful legal departments prioritize process over technology. The conversation dives deep into the realities of Contract Lifecycle Management (CLM), the evolution of the "agentic" legal tool, and why change management is the biggest hurdle for legal innovation. Akshay also discusses the "underdog mentality" that drew him to the startup world and the future of AI in legal workflows. Key Takeaways: Process First: Technology is not a "magic pill" for broken workflows; centralized repositories and defined approval chains must come first. The Power of BD: Business development skills (evangelism and resilience) are critical for successful legal operations leaders. The "Holy Trifecta" of Legal Tech: Every department needs a CLM, a Spend Management tool (at scale), and an agentic Workflow/Intake tool. AI vs. Lawyering: AI will replace non-legal tasks, not the lawyers themselves, making AI literacy a new standard for the profession. Episode Credits Editing and Production: Grant Blackstock Theme Music: Home Base (Instrumental Version) by TA2MI