Podcasts about spreadsheets

We get to some news that we didn't get to on Thursday, such as Iran_Ceasefire_FINAL_FINAL.pdf, right-wing influencers pivoting to OnlyFans, and the cold case of Nancy Guthrie's kidnapping. We also respond to some listener suggestions about how to deal with a vulture problem before a lightning round of dystopian stories about AI and dating. Pitch Katherine pieces for The Intercept at katherine.krueger@theintercept.com CHUNKS now available for streaming purchase at www.patreon.com/chunkstv Chapo & Friends Live at New York's Society for Ethical Culture on Friday November 6th. Tickets are going fast, get yours now! https://link.dice.fm/zaf99528079e

Today on Coast To Coast Hoops Greg talks to Curtis Rogers of 710 Seattle Sports about Donovan Dent likely going to Gonzaga and what to make of the landscape of the sport with fifth year players trying to sign with teams and Greg rounds up the fifth year players who are now in the transfer portal Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:27-Interview with Curtis Rogers 19:12-Fifth year players currently in the transfer portal Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

RAANAP: Rob and Akiva Name 100 Women Rob Cesternino (@robcesternino) and Akiva Wienerkur (@keev26) need a podcast and every week, Rob and Akiva spin a wheel of listener-submitted podcast ideas, and whatever the wheel lands on is what they podcast about next. This week, Rob and Akiva name 100 women. For the link to the spreadsheet that Rob and Akiva use to compile ideas, check it all out here: Rob and Akiva Need a Spreadsheet (compiled by the great Will from America). To submit an idea for a future episode of “Rob and Akiva Need a Podcast” to be discussed on the mailbag, submit it on this form: Rob and Akiva's Mailbag Form. Past Episodes of Rob & Akiva Need a Podcast

Today on Coast To Coast Hoops Greg reacts to 17 players getting an injunction for a fifth season and a Colorado judge ruling all class of class of 2022 players eligible for a fifth year and talks to Ben Stevens of VSIN about whether fifth year forwards or guards may make a bigger impact, & the outlook of the Big Ten Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:30-Good news for fifth year seniors 8:15-Interview with Ben Stevens Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Recorded July 17, 2026Building an internal AV integration team sounds simple enough: hire a few people, buy some tools, and stop paying an outside integrator to discover that the display was unplugged. In reality, it means navigating staffing models, capital projects, facilities partnerships, student labor, service agreements, institutional funding, and the mysterious process by which everyone agrees an idea is excellent while still refusing to provide an FTE.Special guest Tim Dickson joins to discuss Clemson's effort to expand its internal AV capabilities while supporting more than 300 classrooms with a very small team. The panel digs into which skills should remain in-house, where outside labor still makes sense, how to justify positions through savings and recurring service work, and how existing staff can grow into programming, design, field supervision, and other specialized roles.Note that this is Part 1 of 2 because the show is allegedly a 30-minute monthly roundtable, but no one involved appears capable of stopping at 30 minutes, or stopping at all. Part 2 will continue the conversation with no meaningful evidence that anyone learned from the experience.Connect with Tim: https://www.linkedin.com/in/timdickson0ctsd/Alternate show titles:A design apprentice, so to speakDon't bring up your dirty math!Support PlusI could save them $100,000 a yearI'm going to tag onto Marc and then changeI can take care of you and you can take care of meThe AV consultant doesn't know how we do it on campusJust like a consultant would…That's not the way levers are pulledWhich isn't a service we actually offer… but it's a service we offerThis was actually a good showIt's not like math…We stream live every Friday at about 315p Eastern/1215p Pacific and you can listen to everything we record over at AVSuperFriends.com ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀► Website: https://www.avsuperfriends.com► Twitter: https://twitter.com/avsuperfriends► LinkedIn: https://www.linkedin.com/company/avsuperfriends► YouTube: https://www.youtube.com/@avsuperfriends► Bluesky: https://bsky.app/profile/avsuperfriends.bsky.social► Email: mailbag@avsuperfriends.com► RSS: https://avsuperfriends.libsyn.com/rssDonate to AVSF: https://www.avsuperfriends.com/support

Recorded July 17, 2026 Building an internal AV integration team sounds simple enough: hire a few people, buy some tools, and stop paying an outside integrator to discover that the display was unplugged. In reality, it means navigating staffing models, capital projects, facilities partnerships, student labor, service agreements, institutional funding, and the mysterious process by which everyone agrees an idea is excellent while still refusing to provide an FTE. Special guest Tim Dickson joins to discuss Clemson's effort to expand its internal AV capabilities while supporting more than 300 classrooms with a very small team. The panel digs into which skills should remain in-house, where outside labor still makes sense, how to justify positions through savings and recurring service work, and how existing staff can grow into programming, design, field supervision, and other specialized roles. Note that this is Part 1 of 2 because the show is allegedly a 30-minute monthly roundtable, but no one involved appears capable of stopping at 30 minutes, or stopping at all. Part 2 will continue the conversation with no meaningful evidence that anyone learned from the experience. Connect with Tim: https://www.linkedin.com/in/timdickson0ctsd/   Alternate show titles: A design apprentice, so to speak Don't bring up your dirty math! Support Plus I could save them $100,000 a year I'm going to tag onto Marc and then change I can take care of you and you can take care of me The AV consultant doesn't know how we do it on campus Just like a consultant would… That's not the way levers are pulled Which isn't a service we actually offer… but it's a service we offer This was actually a good show It's not like math…   We stream live every Friday at about 315p Eastern/1215p Pacific and you can listen to everything we record over at AVSuperFriends.com    ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Website: https://www.avsuperfriends.com ► Twitter: https://twitter.com/avsuperfriends ► LinkedIn: https://www.linkedin.com/company/avsuperfriends ► YouTube: https://www.youtube.com/@avsuperfriends ► Bluesky: https://bsky.app/profile/avsuperfriends.bsky.social ► Email: mailbag@avsuperfriends.com ► RSS: https://avsuperfriends.libsyn.com/rss   Donate to AVSF: https://www.avsuperfriends.com/support

Today, we are joined by the amazing Maryna from the Ad Badger team. If you have ever wondered why your Amazon PPC performance suddenly dropped, even when your bids, keywords, and competitor pricing look perfect this episode is for you.Maryna shares her brilliant workflow for managing massive Amazon accounts that juggle thousands of SKUs. We discuss how to combine three essential Amazon reports into one master spreadsheet to accurately track your inventory levels. But the real magic happens next: we explore how to feed that data into AI chatbots, like Claude or Gemini, to instantly generate beautiful, actionable dashboards.We'll see you in The PPC Den!

Today on Coast To Coast Hoops Greg talks to Ryan McIntire of the Sports Gambling Podcast Network about the court ruling to allow many players a fifth year of eligibility, if fifth year forwards or guards may make a bigger impact, Texas Tech landing Jamichael Stillwell, & the outlook of the Big XII & Big East. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Data convinces. Stories move people. So why do we still lead with the spreadsheet? In this best-bits episode of Building Better Cultures, Scott McInnes goes back to two conversations about the power of narrative at work: Richard Newman (EP108) on the neuroscience of emotional engagement, and Alison Esse (EP012) on purpose-led storytelling at scale. Richard Newman explains what actually happens in the brain when you open with a chart instead of a story. Spreadsheets speak to the logical mind, but the emotional brain decides first and it decides whether anything gets through at all. He walks through the leadership retreat where nobody could remember a single decision three months later, why "cognitive fatigue" is a better diagnosis than screen fatigue, and the line that sums up the whole problem: we treat people like human doings rather than human beings. Alison Esse picks up the organisational side: the corporate narrative, the red thread that has to run from the frontline to the CEO, and why leaders are so often the worst people at telling their own stories. The common thread? Engage people emotionally first, logically second. Do it the other way round and nothing sticks. Key Takeaways The emotional brain gets there first. Every input passes through it before the logical mind sees it, so if you open with data you have already lost the room. Data convinces, stories move. Being right is not the same as being understood, and it is definitely not the same as being acted on. If nobody can repeat it, it did not land. People remember stories and quote lines from them. Nobody quotes a slide. It is cognitive fatigue, not screen fatigue. People will happily binge four hours of Netflix after a long week, so the screen is not the problem, being engaged logically all day with no emotional connection is. Storytelling is misunderstood, not soft. It is not anecdotes about your weekend, and it does not need the hero's journey. It is sharing information in the way the brain wants to receive it. Every organisation needs a red thread. A narrative that connects the frontline to the CEO gives people something to believe in and repeat. Leaders are often worst at telling their own story. The people with the most to share are usually the most reluctant, which is why story champions matter. Timestamps 00:00 – Introduction: why we still lead with the spreadsheet 00:30 – Richard Newman: how stories help leaders influence, and the retreat nobody remembered 04:00 – Inception, and why a story goes deeper than a slide 05:00 – Cognitive fatigue vs screen fatigue 05:38 – "Human doings, not human beings": engage emotionally first, logically second 05:47 – Alison Esse: corporate narrative, purpose and the red thread from frontline to CEO 10:16 – Wrap-up: what story is your organisation telling right now? Hear the full conversations EP108 – Richard Newman: https://inspiringchange.libsyn.com/108-the-science-of-storytelling-how-it-works-richard-newman EP012 – Alison Esse: https://inspiringchange.libsyn.com/ep12-alison-esse-co-founder-the-storytellers Resources & Links Download our new Research: Bridging the Connection Gap Connect with us LinkedIn | YouTube | Instagram Connect with Scott McInnes: LinkedIn Tags storytelling, business storytelling, communication, leadership communication, neuroscience, emotional engagement, cognitive fatigue, corporate narrative, purpose, internal communications, employee engagement, workplace culture, influence, presentation skills, Richard Newman, Alison Esse, Scott McInnes, Building Better Cultures, Inspiring Change, best bits, podcast compilation

Reporting is one of the most foundational functions in a sterile processing department, and for years it has also been one of the most manual. Answering a single question about productivity, throughput or case readiness has often meant running several reports, exporting the results into spreadsheets and merging the data by hand before any of it could be presented. The information existed. It simply was not assembled into a form teams could act on in the moment.That gap carries real operational cost. Time spent gathering and reconciling data is time not spent interpreting it, and every manual merge introduces the possibility of error or misrepresentation. Staffing requests, resource conversations and committee reporting all slow down when leaders must first defend where their numbers came from. For many SPD teams, the constraint was never the availability of data. It was the time and the confidence required to trust it.What changes for a sterile processing team when reporting becomes centralized, visual and available in real time?Welcome to ConCensis. In this episode, host Daniel Litwin, the Voice of B2B, sits down with Alma Mendivil, Director of the Sterile Processing Department at University Medical Center of El Paso, and Hana Rogers, Quality Assurance Manager of the Central Sterile Processing Department at Boston Medical Center, for the show's first cross-leader roundtable. Pairing a director's leadership lens with a day-to-day operational view from the floor, the conversation compares the old reporting workflow against their experience with CensiTrac Intelligence and traces the downstream effects on decision-making, manual workload, team morale and collaboration with partner departments. The discussion offers practical perspective for SPD leaders evaluating what they should expect from a reporting tool and how better reporting reshapes far more than reporting itself.What You'll Learn...Why answering basic operational questions once required multiple reports and manual spreadsheet work, and what that pattern cost teams in both time and accuracy.How the ability to see a report build in real time shifts effort away from preparing data and toward interpreting it.The new reporting use cases these leaders unlocked, including prep and pack dwell time, five-day case forecasting, daily huddle notes and employee performance metrics.Why a single trusted source of data changes the tone of conversations with hospital leadership, operating room partners and outside committees such as infection control.How real-time visibility into productivity supports more timely recognition, coaching and staffing adjustments across shifts.What questions SPD leaders should ask before adopting a reporting tool, and what long-term impact to expect as surgical volumes continue to grow.About the GuestsAlma Mendivil is Director of the Sterile Processing Department at University Medical Center of El Paso, one of the busiest medical centers on the southern border. She oversees departmental operations in a high-volume environment and led her team's reporting transition alongside her department manager and floor educator, giving her a direct view of how reporting shapes staffing decisions, leadership reporting and cross-department collaboration.Hana Rogers is Quality Assurance Manager of the Central Sterile Processing Department at Boston Medical Center, a major academic medical center in the Northeast. Her work centers on the day-to-day operational realities of a high-inventory department, including throughput visibility, instrument movement and the practical workflow effects of how reporting is built and used on the floor.

Reporting is one of the most foundational functions in a sterile processing department, and for years it has also been one of the most manual. Answering a single question about productivity, throughput or case readiness has often meant running several reports, exporting the results into spreadsheets and merging the data by hand before any of it could be presented. The information existed. It simply was not assembled into a form teams could act on in the moment.That gap carries real operational cost. Time spent gathering and reconciling data is time not spent interpreting it, and every manual merge introduces the possibility of error or misrepresentation. Staffing requests, resource conversations and committee reporting all slow down when leaders must first defend where their numbers came from. For many SPD teams, the constraint was never the availability of data. It was the time and the confidence required to trust it.What changes for a sterile processing team when reporting becomes centralized, visual and available in real time?Welcome to ConCensis. In this episode, host Daniel Litwin, the Voice of B2B, sits down with Alma Mendivil, Director of the Sterile Processing Department at University Medical Center of El Paso, and Hana Rogers, Quality Assurance Manager of the Central Sterile Processing Department at Boston Medical Center, for the show's first cross-leader roundtable. Pairing a director's leadership lens with a day-to-day operational view from the floor, the conversation compares the old reporting workflow against their experience with CensiTrac Intelligence and traces the downstream effects on decision-making, manual workload, team morale and collaboration with partner departments. The discussion offers practical perspective for SPD leaders evaluating what they should expect from a reporting tool and how better reporting reshapes far more than reporting itself.What You'll Learn...Why answering basic operational questions once required multiple reports and manual spreadsheet work, and what that pattern cost teams in both time and accuracy.How the ability to see a report build in real time shifts effort away from preparing data and toward interpreting it.The new reporting use cases these leaders unlocked, including prep and pack dwell time, five-day case forecasting, daily huddle notes and employee performance metrics.Why a single trusted source of data changes the tone of conversations with hospital leadership, operating room partners and outside committees such as infection control.How real-time visibility into productivity supports more timely recognition, coaching and staffing adjustments across shifts.What questions SPD leaders should ask before adopting a reporting tool, and what long-term impact to expect as surgical volumes continue to grow.About the GuestsAlma Mendivil is Director of the Sterile Processing Department at University Medical Center of El Paso, one of the busiest medical centers on the southern border. She oversees departmental operations in a high-volume environment and led her team's reporting transition alongside her department manager and floor educator, giving her a direct view of how reporting shapes staffing decisions, leadership reporting and cross-department collaboration.Hana Rogers is Quality Assurance Manager of the Central Sterile Processing Department at Boston Medical Center, a major academic medical center in the Northeast. Her work centers on the day-to-day operational realities of a high-inventory department, including throughput visibility, instrument movement and the practical workflow effects of how reporting is built and used on the floor.

The Spreadsheet That Exposed Her Secret Debts and Double LifeNEW PODCAST ALERT!

Down a man, our heroes tackle their toughest foe yet: Orphans Eat Free Tuesday.   We encourage you to check out our Patreon and/or Ko-Fi, as they've got sweet sweet benefits and also you can help support your favorite show. AND Our Store is a thing, with all your t-shirts, tote bags, stickers and more!   Background music and sound effects: Burning Village, Robot Scrapyard, and Privvy Council Tabletop Audio https://tabletopaudio.com   Elf Meditation Kevin Macleod   Sitcom Laughing Free Sound Effects https://www.youtube.com/watch?v=p6PWPb-DCkI   Under the Hill Battle Theme, Sepulcrum, Torus, Outriders, and Catoptricon Zak     Email us at PodAgainsttheMachine@gmail.com Remember to check out https://podagainstthemachine.com for show transcripts, player biographies, and more. Stop by our Discord server to talk about the show: https://discord.gg/TVv9xnqbeW Follow @podvsmachine on Bluesky Find us on Reddit, Instagram, and Facebook as well. Original music by Marllon Silva (xDeviruchi)

Today on Coast To Coast Hoops Greg talks to Riley Frain of The Portal Report about the court ruling to allow many players a fifth year of eligibility, if fifth year forwards or guards may make a bigger impact, Texas Tech landing Jamichael Stillwell, & the upside of many Big East Teams. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

There's a difference between preparing for adoption… and preparing yourself to become a parent.When systems strategist, podcaster, and adoptive mom Julie Fried began her adoption journey, she thought she could research her way through it. Spreadsheets, Facebook groups, Google searches—she approached adoption like any other complex project. But what she discovered was that the biggest work wasn't logistical. It was emotional.In this honest and deeply thoughtful conversation, Julie shares the lessons she learned about grief, open adoption, slowing down, and making peace with a path that looked different than the one she had imagined. From pausing after her home study to process infertility, to navigating an unexpected NICU experience, to making one of the hardest decisions her family has ever faced, Julie offers wisdom that every hopeful adoptive parent needs to hear.In this episode, we talk about:Why researching more isn't always the same as moving forward in your adoption journeyThe emotional work every hopeful adoptive parent should do before becoming a parentHow grief and adoption can coexist—and why processing one strengthens the otherWhat Julie learned after shifting from "no" to embracing the possibilities of open adoptionHow a NICU stay became an unexpected gift during the transition into parenthoodThe heartbreaking decision to decline adopting her daughter's half-sibling—and how they made peace with itAbout Julie Fried:Julie Fried is the host of The System for Everything podcast, where she shares practical systems that simplify business, motherhood, and everyday life. A systems strategist by profession and adoptive mom to her daughter Ellie, Julie brings honesty, empathy, and thoughtful perspective to conversations about adoption, infertility, and parenting. Through her own journey, she has become a passionate advocate for slowing down, processing grief, and embracing adoption with openness and intention.Connect with Julie:Website: https://dallasgirlfriday.com/Instagram: https://www.instagram.com/thesystemforeverything?utm_source=chatgpt.comPodcast: https://podcasts.apple.com/us/podcast/the-system-for-everything/id1818831243RG Adoption ConsultingWebsite → ⁠https://rgadoptionconsulting.com⁠ Book a Complimentary Adoption Strategy Session → ⁠https://rgadoptionconsulting.com/contactAre You Ready to Adopt? Take the Quiz to Find Out → https://www.rgadoptionconsulting.com/quiz Before you choose an agency, spend money, or move forward—start with these 10 honest conversations that will help you: https://www.rgadoptionconsulting.com/10-conversations-before-you-adopt Tune in to The Adoption Roadmap Podcast every Wednesday. If you like what you hear, I'd appreciate a follow, a 5-star rating & review! THANK YOU!For questions about adoption, episode suggestions, or to appear as a guest on The Adoption Roadmap Podcast, email⁠⁠⁠⁠ support@rgadoptionconsulting.com⁠⁠⁠

In our Three Things, Utah is named the No. 1 state in America for a record-breaking fourth year in a row, Hogle Zoo welcomes a baby giraffe, and Bryan Kohberger asks to withdraw his guilty plea — potentially putting the death penalty back on the table. Plus, companies are hiring retired CEOs; credit card holders are scamming retailers with "friendly fraud”... so we loop in the morality police. Singles are using spreadsheets to evaluate their dates, and it turns out, we're all saying fewer words to each other, AI knows what you're doing online and so does your boss, and the one thing Americans can agree on — Costco.  KSL Brightside streams live weekdays 12–3 PM. Watch the YouTube-exclusive live stream from 12–1 PM, then catch us on radio and YouTube from 1–3 PM.   Follow KSL Brightside on social media! YouTube: https://www.youtube.com/@KSLBrightside Facebook: https://www.facebook.com/KSLBrightside Instagram: https://www.instagram.com/KSL_Brightside TikTok: https://www.tiktok.com/@ksl.brightside

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

Today on Coast To Coast Hoops Greg talks about the NCAA perhaps pursuing summer scrimmages & talks to Colby Dant of the Sports Gambling Podcast Network about the court ruling to allow many players a fifth year of eligibility, if fifth year forwards or guards may make a bigger impact, Texas Tech landing Jamichael Stillwell, & Miami's upside Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:39-Summer scrimmage possibilities in the future 7:20-Interview with Colby Dant Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today on Coast To Coast Hoops Greg talks to Robbie Lastella Brackeer.org about the court ruling to allow many players a fifth year of eligibility, if fifth year forwards or guards may make a bigger impact, Texas Tech landing Jamichael Stillwell, & which mid-major schools might sign newly eligible players. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Bruce & Gaydos explain why many young people are turning to spreadsheets to help them parse through their dates. They also discuss the latest on the war with Iran.

Today on Coast To Coast Hoops Greg talks to Rocco Miller of Brackeer.org about the court ruling to allow many players a fifth year of eligibility, a lot of SEC teams scheduling easy, Texas Tech landing Jamichael Stillwell, & players reclassifying from 2027 to 2026. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

RAANAP: Rob and Akiva Take Pitches for the Live Show Rob Cesternino (@robcesternino) and Akiva Wienerkur (@keev26) need a podcast and every week, Rob and Akiva spin a wheel of listener-submitted podcast ideas, and whatever the wheel lands on is what they podcast about next. This week, Rob and Akiva brainstorm ideas for the upcoming RHAPCon. For the link to the spreadsheet that Rob and Akiva use to compile ideas, check it all out here: Rob and Akiva Need a Spreadsheet (compiled by the great Will from America). To submit an idea for a future episode of “Rob and Akiva Need a Podcast” to be discussed on the mailbag, submit it on this form: Rob and Akiva's Mailbag Form. Past Episodes of Rob & Akiva Need a Podcast

Today on Coast To Coast Hoops Greg reacts to Jamichael Stillwell signing with Texas Tech, Jovan Ićitović signing with Northeastern, & talks to Tristan Freeman of Busting Brackets  about the court ruling to allow many players a fifth year of eligibility, a lot of SEC teams scheduling easy, & what players may look to sign newly eligible players.  Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:56-Texas Tech signs Jamichael Stillwell 5:45-Northeastern signs Jovan Ićitović 10:04-Interview with Tristan Freeman Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

More information does not always create a better decision. Sometimes, it only delays the move that needs to be made. In this episode of The Level Up Podcast, Paul Alex breaks down why excessive analysis can paralyze entrepreneurs and why execution is the fastest way to uncover what the market actually wants. Spreadsheets can help you prepare. They cannot guarantee success. The only way to collect real data is to launch the offer, observe customer behavior, and adjust based on what actually happens. In this episode, you'll learn: • Why historical data cannot eliminate the uncertainty of entrepreneurship• How overanalyzing destroys speed and momentum• Why paying customers provide more valuable feedback than hypothetical research• How rapid execution and iteration create a competitive advantage The truth is simple: You cannot perfect a product while keeping it hidden from the market. Launch the first version. Collect real feedback. Fix what is broken. Improve what is working. You cannot steer a parked car. Execution generates the data you need to move forward. Your Network is your NETWORTH! Make sure to add me on all SOCIAL MEDIA PLATFORMS: Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024 Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you: www.CashSwipe.com FREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on Coast To Coast Hoops Greg reacts to Brown hiring Eric Reveno as their new coach and talks to Blake Lovell of Southeastern 16  about the court ruling to allow many players a fifth year of eligibility, a lot of SEC teams scheduling easy, & the players reclassifying in the SEC from 2027 to 2026 Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 3:52-Brown hires Eric Reveno as their new coach 9:04-Interview with Blake Lovell Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We hit 1,000 subscribers on YouTube! That might just sound like a number on a screen, but to put it into perspective: 1,000 people is 15 full school buses or 5 sold-out cinema halls filled with fellow artists and filmmakers. That blows my mind, and I am so grateful to have you here for the ride.To celebrate this milestone, I'm opening up my studio system to you! As an independent animation director, if you don't stay organized, you easily drown in administrative headaches. To keep my own workflow low-stress, I've built a suite of clean, functional, and pretty Google Sheets—so you can spend less time on admin and more time on art.To say thank you, I'm offering 20% OFF all my spreadsheet templates for the next week!CLAIM YOUR 20% DISCOUNTGet the Trackers: https://giuliamartin.gumroad.com/?section=b09E_gtcZQPADLp84c66YA==#b09E_gtcZQPADLp84c66YA== Promo Code: ONIONSKIN (Applies to any spreadsheet at checkout)Expires: End of July!What's inside the collection?Film Festival Tracker: Manage deadlines, waiver codes, fees, ratings, and Oscar-qualifying statuses (pre-filled with European festivals!).Client & Project Tracker: Keep active gigs, invoices, and production deadlines seamlessly organized.Income Streams Tracker: Easily track freelance revenue, passive income, and studio cash flow.Bonus: Includes the free Social Media Content Planner and my "Welcome & Prep" Field Manual.Thank you so much for watching, listening, and growing this community with me. Grab your tracker, clean up your pipeline, and get back to making great work!ciao, Giulia

Today on Coast To Coast Hoops Greg reacts to LJ Cason joining Miami and talks to Rob Donaldson of Underdog Fantasy about the court ruling to allow many players a fifth year of eligibility & the players reclassifying in the SEC from 2027 to 2026 Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 3:04-LJ Cason signs with Miami 8:00-Interview with Rob Donaldson Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Data can guide the decision. But it cannot always predict what comes next. In this episode of The Level Up Podcast, Paul Alex breaks down how successful entrepreneurs balance analytics with experience, intuition, and the courage to make bold decisions without perfect certainty. Numbers reveal patterns from the past. Instinct helps you recognize opportunities and risks that may not appear on a spreadsheet. The strongest leaders study the data, trust their training, and know when it is time to make the call. In this episode, you'll learn: • Why data is powerful but cannot perfectly predict the future• How experience creates the intuition behind strong business decisions• Why waiting for complete certainty can destroy innovation and momentum• How great leaders combine analytics with bold, decisive action The truth is simple: Data should inform your decisions. It should not control them. Study the numbers. Respect the warning signs. Trust the experience you have earned. When the opportunity is right, make the move before your competitors do. True visionaries see what the metrics cannot. Your Network is your NETWORTH! Make sure to add me on all SOCIAL MEDIA PLATFORMS: Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024 Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you: www.CashSwipe.com FREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on Coast To Coast Hoops Greg talks to Brian Butch of the Big Ten Network about the court ruling to allow many players a fifth year of eligibility, the chemistry element of late transfer meaning less now than in years past, & the SEC getting a lot of 2027 recruits to reclassify to 2026 Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

JOIN THE VALOR COFFEE COMMUNITY – Courses, Exclusive Videos, PDFs, Spreadsheets and more:⁠ ⁠https://community.valor.coffee?utm_source=spotify&utm_campaign=ep173So you want to open a coffee shop? Before you sign a lease, let us try to talk you out of it, or at least make sure you know what you're actually signing up for. In this episode we play devil's advocate on our own dream job: managing a revolving door of 20 somethings, why "I'll roast my own coffee to save money" is really just starting a second, harder business, and why permitting alone can cost more than your whole buildout depending on where you live. We get honest about the money, the messy math of business partners, and the gap between loving coffee and loving running a coffee shop. If you still want to open one after this, we'd genuinely love to help.This week's episode is brought to you by our friends at Odeko: Use our code VALOR10 for 10% off your first supply order! Hit the link below to sign up now:n https://portal.odeko.com/signup*If you purchase something through one of our links, we may be entitled to a share of the sale*Buy Valor Coffee: ⁠⁠https://valor.coffee/shop?utm_source=spotify&utm_campaign=ep173Watch on Youtube: ⁠⁠https://youtube.com/valorcoffee16⁠⁠Want to become a Wholesale Partner? Email us at wholesale@valor.coffee to set up an account!Want to send us coffee? Have a question you want to answer on the show? Send us an email to info@valor.coffeeWant to get your business in front of more people? We partnered with Local Eyes Growth to grow our business through SEO and the results have been incredible. Local Eyes is offering a FREE backlink ($300 value) to Valor Coffee Podcast listeners who partner through our exclusive link. Visit ⁠⁠https://localeyesgrowth.com/valor⁠⁠ to get the ball rolling!Follow the Valor Coffee Podcast on Instagram: ⁠⁠http://instagram.com/valorcoffeepod⁠⁠Follow Valor on Instagram: ⁠⁠http://instagram.com/valor.coffee⁠⁠Subscribe to Riley's YouTube Channel: ⁠⁠https://youtube.com/@rileywestbrook⁠⁠Follow Riley:  ⁠⁠https://instagram.com/rileywestbrook⁠⁠Follow Ross: ⁠⁠https://instagram.com/rosswalters⁠⁠Follow Ethan's Parody Account:  ⁠⁠https://instagram.com/ethanrivers777

Today on Coast To Coast Hoops Greg react to Gabe Nesmith reclassifying for Vanderbilt and talks to Ryan McIntyre of the Sports Gambling Podcast Network about the court ruling to allow many players a fifth year of eligibility, Cincinnati & Xavier benefitting from the court ruling & the SEC getting a lot of 2027 recruits to reclassify to 2026 Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 3:450-Gabe Nesmith Reclassifies for Vanderbilt 8:44-Interview with Ryan McIntyre Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today on Coast To Coast Hoops Greg talks to Paul Fritschner of the Rebound Rundown about the court ruling to allow many players a fifth year of eligibility, Cincinnati & Xavier benefitting from the court ruling & the way the recent court decisions are shifting the college basketball landscape Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

RAANAP 325: Rob and Akiva Are Marriage Refs Rob Cesternino (@robcesternino) and Akiva Wienerkur (@keev26) need a podcast and every week, Rob and Akiva spin a wheel of listener-submitted podcast ideas, and whatever the wheel lands on is what they podcast about next. This week, Rob and Akiva play marriage ref to the listeners. For the link to the spreadsheet that Rob and Akiva use to compile ideas, check it all out here: Rob and Akiva Need a Spreadsheet (compiled by the great Will from America). To submit an idea for a future episode of “Rob and Akiva Need a Podcast” to be discussed on the mailbag, submit it on this form: Rob and Akiva's Mailbag Form. Past Episodes of Rob & Akiva Need a Podcast

Today on Coast To Coast Hoops Greg reacts to 25 players filing in California for a 5th year of eligibility, Davion Thompson reclassifying for Arkansas, & talks to Nate Hornung of Your Betting News about the court ruling to allow many players a fifth year of eligibility & if there might be value in fading teams signing players late in the offseason. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 3:08-25 Players File for extra eligibility in California 6:04-Davion Thompson Reclassifies for Arkansas 10:22-Interview with Nate Hornung Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today on Coast To Coast Hoops Greg talks to Ivetta Abramyan of Bracketeer.org about the court ruling to allow many players a fifth year of eligibility, what teams might look to sign the newly eligible players, & if there might be value in fading teams signing players late in the offseason. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today on Coast To Coast Hoops Greg reacts to LJ Cason transferring from Michigan and Donovan Dent ending his retirement before talking to Max Barr of Southeastern 16 about Marcus Spears Jr reclassifying for Texas, the court ruling to allow many players a fifth year of eligibility, & the overall SEC landscape Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 3:28-LJ Cason transfers from Michigan 5:38-Donovan Dent ends his retirement  9:20-Interview with Max Barr Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sean Barnes spent years ascending the corporate ranks as an executive. Then he started his own business, and this episode is the unfiltered story of what happened next. Because he has shared that journey publicly, wins and losses included, more and more people come to him ready to escape toxic company cultures and chase their big idea. In this episode, Sean lays out the hard truths you need to wrap your head around before going all in on entrepreneurship. He covers why you have to get comfortable hearing no, why your corporate title means nothing once you step out on your own, what it really takes to acquire customers, and the painful shift you will see in your friendships when you move from peer to service provider. This is not a pep talk. It is an honest look at the loneliness, the fear-driven behavior of the people around you, and the version of yourself that this journey will forge if you are truly ready for it.   Key Moments 00:00 From corporate ranks to going all in on his own business 00:57 Get comfortable hearing no, your idea alone is not a business 01:53 Your C-level title means nothing in entrepreneurship 02:52 Why most startups fail and why you think you are different 03:51 When friends clap for you but never buy from you 04:49 Everybody wants the view, nobody wants the climb 05:45 Understanding CAC and the real cost of getting in front of customers 06:45 Spreadsheet knowledge versus actually spending the money 07:40 Sean's early years speaking on stages before ever getting paid 08:37 The friends who create distance and the real ones who show up 10:29 The lonely journey that forges a version of you that never existed before   Key Takeaways Your idea does not matter until someone pays for it. Get out of your own head and into the minds of your customers. Corporate titles do not transfer. Entrepreneurship demands you master lead generation, sales, marketing, and branding from scratch. Expect your circle to change. Some friends will pull away when you become the service provider, and the few who support you anyway are the real ones.   Podcast Show Notes – Episode 290 | 07.14.2026 Episode Title: I Started a Business as an Executive. Here's What Happened     Host: Sean Barnes Website: https://www.wolfexecutives.com   https://www.seanbarnes.com   LinkedIn: https://www.linkedin.com/in/seanbarnes/ https://www.linkedin.com/company/wolfexecutives https://www.linkedin.com/company/thewayofthewolf/ LinkedIn Newsletter: https://www.linkedin.com/newsletters/7284600567593684993/   Twitter: https://x.com/seanbarnes https://x.com/wolfexecutives   Instagram: https://www.instagram.com/the_seanbarnes https://www.instagram.com/wolfexecutives   TikTok: https://www.tiktok.com/@the_seanbarnes   Facebook: https://www.facebook.com/theseanbarnes

Introduction Captive premiums have crossed roughly $79 billion globally, so why are so many captive programs still managed in Excel and email? In this episode, Joshua Hollander talks with Illia Pinchuk, CEO and founder of DICEUS, about where manual workflows leak value in a captive program and what it takes to move a captive manager off spreadsheets. Listeners will hear how feature-based pricing changes the cost math for captives, why data onboarding is the real adoption barrier, and where AI actually helps today.   Guest Bio Illia Pinchuk founded DICEUS in 2011 and has led the company for fourteen years, evolving from professional services for insurers, brokers, MGAs, and TPAs into ready-made products. DICEUS now offers 22 products across business lines, with captive insurance among its strongest segments, anchored by a captive management platform and a captive owner portal. Pinchuk trained as an engineer in mechatronics and robotics and has completed executive coursework through Harvard Business School Online.   Key Topics -A young market with about 7,000 captives - Roughly half of the world's registered captives sit in the US, with Bermuda, Cayman, and a developing UK regime behind it, and business processes remain largely unstandardized. -Why captive managers can't scale on spreadsheets - The consultant headcount a captive manager needs grows roughly in proportion to the captives it onboards, which turns a service business into a people business. -Where value leaks in a manual captive - A/B fund premium allocation, loss runs arriving from 10 to 20 different TPAs in incompatible spreadsheets, investment reconciliation, and end-of-period compliance workbooks. -Feature-based pricing, not module-based - Clients pay only for the specific features they use, which matters in a segment where the entire case for a captive is cost. -The measurable payoff - Clients report the platform saves the work of one to one and a half business analysts or captive consultants, and policy issuance that once consumed a dedicated person compresses to about a week and a half. -Key-person risk in Excel - When the one employee who knows the spreadsheets leaves, the knowledge leaves with them; built-in onboarding and AI guidance get a replacement productive in one to two weeks. -AI needs clean data first - DICEUS runs the full extract, transform, load process itself, cleaning years of unstructured spreadsheet data before the platform's AI features can pay off.   Notable Quotes "They cannot grow without adding new people. So it becomes more people business than just a service business."   "At the end of the month you're getting twenty completely different spreadsheets, and you somehow should make a magic work in order to calculate the loss ratio."   "Our system can save, for a traditional captive manager organization, at least one or one and a half consultants. But in reality, I think it's even more."   "They should pass through the digital onboarding step, just filling in all the details, and it should be automatically enrolled. Like, for example, if you want to open a bank account. That will be a big game changer."   Resources Guest: DICEUS: https://diceus.com/ Illia Pinchuk on LinkedIn: https://www.linkedin.com/in/illiapinchuk/   Host & Organization: Joshua R. Hollander on LinkedIn: https://www.linkedin.com/in/joshuarhollander/ Horton International (USA): https://www.horton-usa.com/ Insurtech Leadership Podcast (LinkedIn Showcase): https://www.linkedin.com/showcase/insurtech-leadership-show   Subscribe & Review If you enjoyed this episode, subscribe on your favorite platform and leave a review. The Insurtech Leadership Podcast is available on YouTube, Podbean, Apple Podcasts, and Spotify.

Today on Coast To Coast Hoops Greg reacts to Mike Martin leaving Brown to be an assistant coach at Michigan and talks to Kevin Sweeney of SI Now about Marcus Spears Jr reclassifying for Texas, the court ruling to allow many players a fifth year of eligibility, & the market for players with newfound eligibility Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 3:15-Mike Martin leaves Brown for Michigan 9:19-Interview with Kevin Sweeney Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Lipscomb professor and accountant Charles Frasier shares his career path and how he juggled his two titles. Charles dives deep into why he became an accountant and why it's an amazing field to pursue. He also talks about the kind of student that succeeds in the classroom, inspirational stories from his time in the lecture hall, and how accounting is much more than just math.

Today on Coast To Coast Hoops Greg reacts to Mario Saint-Suprey leaving Gonzaga to play in Spain & what that means for both Gonzaga & college basketball as whole & talks to Curtis Rogers of 710 Seattle Sports about Marcus Spears Jr reclassifying for Texas, Michigan giving Mike Boynton a two year deal, & the court ruling to allow many players a fifth year of eligibility. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:39-Mario Saint-Suprey Leaves Gonzaga 8:22-Interview with Curtis Rogers Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

RAANAP 324: Rob and Akiva Have All the Angles Rob Cesternino (@robcesternino) and Akiva Wienerkur (@keev26) need a podcast and every week, Rob and Akiva spin a wheel of listener-submitted podcast ideas, and whatever the wheel lands on is what they podcast about next. This week, Rob and Akiva figure out how to get celebrities on the podcast. For the link to the spreadsheet that Rob and Akiva use to compile ideas, check it all out here: Rob and Akiva Need a Spreadsheet (compiled by the great Will from America). To submit an idea for a future episode of “Rob and Akiva Need a Podcast” to be discussed on the mailbag, submit it on this form: Rob and Akiva's Mailbag Form. Past Episodes of Rob & Akiva Need a Podcast

Today on Coast To Coast Hoops Greg reacts to Marcus Spears Jr reclassifying for Texas, Michigan giving Mike Boynton a two year deal, & talks to Blake Lovell of Southeastern 16 about the SEC landscape, the ceiling for Texas, & if LSU might sign some of the newly eligible fifth year players. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:42-Mike Boynton gets a two year deal 5:30-Marcus Spears Jr reclassified for Texas 10:03-Interview with Blake Lovell Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today's podcast walks through 120 Picks of a SF Start-Up Mock Draft and then focuses on which Tiers are the most off consensus. All 120 Picks can be found on this Spreadsheet: https://docs.google.com/spreadsheets/d/1U-tC7DwyQE5G4ZhPP7RNJiwuHhpwe7FmeUG1K-i19R4/edit?usp=sharingTIMELINE || Round 1 -- 4:45 || 1-2 Turn -- 9:15 || 3rd Round Reversal -- 17:15 || 3-4 Turn -- 23:00 || 4-5 Turn -- 35:30 || 5-6 Turn -- 49:00 || 6-7 Turn -- 58:00 || 7-8 Turn -- 1:08:00 || 8-9 Turn -- 01:15:00 || 9-10 Turn -- 01:20:30 || Best Available+Off-Consensus -- 01:25:00 Get full access to C.J.'s Substack at cjfreel.substack.com/subscribe

Today on Coast To Coast Hoops Greg reacts to an Ohio judge grants 15 players an extra year of eligibility, Yam Madar not getting eligibility for LSU talks to Tristan Freeman of Busting Brackets Atlantic 10 landscape, & what teams the players that received extra eligibility may sign with, if any. Link To Greg's Spreadsheet of handicapped lines: https://vsin.com/college-basketball/greg-petersons-daily-college-basketball-lines/ Greg's TikTok With Pickmas Pick Videos: https://www.tiktok.com/@gregpetersonsports?is_from_webapp=1&sender_device=pc Podcast Highlights 2:05-Ohio Plaintiffs get an extra year of eligibility 4:47-Yam Madar ineligible for LSU 9:42-Interview with Tristan Freeman Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Bad Idea for My Macstock Presentation? The Cookie App: A Convenient Solution to Online Privacy — by Steve Davidson Support the Show CCATP #838 — Darrin Altman on Talk for Me Transcript of NC_2026_07_08 Join the Conversation: allison@podfeet.com podfeet.com/slack Support the Show: Patreon Donation Apple Pay or Credit Card one-time donation PayPal one-time donation Podfeet Podcasts Mugs at Zazzle NosillaCast 20th Anniversary Shirts Referral Links: Setapp - 1 month free for you and me 15% off Carbon Copy Cloner Wispr Flow - 1 month free for you PETLIBRO - 30% off for you and me Parallels Toolbox - 3 months free for you and me Learn through MacSparky Field Guides - 15% off for you and me Backblaze - One free month for me and you Eufy - $40 for me if you spend $200. Sadly nothing in it for you. PIA VPN - One month added to Paid Accounts for both of us CleanShot X - Earns me $25%, sorry nothing in it for you but my gratitude

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Ariel Jalali, an AI entrepreneur, advisor, operator, longtime CTO, and founder of Paragon Tech. Ariel has been building in AI and machine learning since 2014, previously taught part-time at UCLA, and now helps mid-market companies drive capital efficiency and value creation through practical, measurable AI implementation.Together, Avetis and Ariel unpack why this AI wave feels fundamentally different from previous technology shifts like the internet, cloud, mobile, ERP, and CRM. Ariel explains why the speed of change is compressing decades of transformation into years, why curiosity may matter more than age when adopting AI, and why the future of work may be better understood as the future of earning, ownership, purpose, and belonging.The conversation moves from tactical to philosophical, covering AI adoption inside private equity-backed and mid-market companies, the rising importance of CFOs and COOs, the difference between efficiency AI and productivity AI, and why organizations should avoid simply automating broken processes. Ariel also shares his perspective on career reinvention, player-coach leadership, AI avatars in meetings, the risks of outsourcing human thinking, and why human relationships still matter in an increasingly automated world.TakeawaysAI is not just another technology cycle; Ariel frames it as a new wave moving much faster than cloud, mobile, ERP, or CRM adoption.Career resilience in the AI era depends less on age and more on curiosity, tinkering, adaptability, and a willingness to learn by doing.Ariel argues that the “future of work” may become the future of earning, ownership, purpose, and belonging as traditional jobs evolve.Companies should begin AI projects with clear KPIs, measurable ROI, and an understanding of the business outcome they are trying to improve.Efficiency AI focuses on automating tedious back-office workflows, while productivity AI helps people create, decide, and execute faster.Spreadsheets are often a signal of operational gaps between systems, processes, or expectations—and can be a strong place to find automation opportunities.Automating a broken process only makes the dysfunction faster; leaders should simplify, question assumptions, and redesign workflows around outputs.Middle management and traditional project management are being reshaped into “player-coach” roles where leaders must orchestrate work and add real value.AI is powerful, but high-stakes thinking, judgment, relationship-building, and nuanced communication still require human ownership.Chapters00:00 The Role of the COO in the AI Era02:09 The Impact of AI on Careers and Industries05:58 AI as a Collaborative Partner08:11 The Future of Work and Purpose13:53 Embracing Change and Learning17:14 The Importance of Curiosity in the Workplace23:02 Best Practices for AI Implementation30:10 Navigating Career Changes in the AI Landscape37:09 The Dangers of Multitasking in Career Development40:03 The Impact of AI on Work Efficiency42:27 Evolving Roles in Management and Project Oversight49:21 The Future of Meetings and AI Integration56:09 Identifying What's Broken in Organizational Processes01:02:34 The Importance of Relationships in Business01:10:21 Navigating the Future with AI and Human CollaborationAriel Jalali's Social Media Link:https://www.linkedin.com/in/arieljalali/https://x.com/arieljalaliResources and Links:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

RAANAP 323: Rob and Akiva Watch TriTanic Rob Cesternino (@robcesternino) and Akiva Wienerkur (@keev26) need a podcast and every week, Rob and Akiva spin a wheel of listener-submitted podcast ideas, and whatever the wheel lands on is what they podcast about next. This week, Rob and Akiva watch Titanic on 3x. For the link to the spreadsheet that Rob and Akiva use to compile ideas, check it all out here: Rob and Akiva Need a Spreadsheet (compiled by the great Will from America). To submit an idea for a future episode of “Rob and Akiva Need a Podcast” to be discussed on the mailbag, submit it on this form: Rob and Akiva's Mailbag Form. Past Episodes of Rob & Akiva Need a Podcast

RAANAP: Meet Me in the Middle Rob Cesternino (@robcesternino) and Akiva Wienerkur (@keev26) need a podcast and every week, Rob and Akiva spin a wheel of listener-submitted podcast ideas, and whatever the wheel lands on is what they podcast about next. This week, Rob and Akiva discuss listeners meeting up in Omaha, Nebraska. For the link to the spreadsheet that Rob and Akiva use to compile ideas, check it all out here: Rob and Akiva Need a Spreadsheet (compiled by the great Will from America). To submit an idea for a future episode of “Rob and Akiva Need a Podcast” to be discussed on the mailbag, submit it on this form: Rob and Akiva's Mailbag Form. Past Episodes of Rob & Akiva Need a Podcast