Podcasts about users

Most people think low back pain means something is wrong with their back. It's usually the hips — and the fix often starts on your living room floor.In this episode, Dr. Gabrielle Lyon sits down with Dr. Kelly Starrett and Juliet Starrett, JD to discuss:Why 100% of the people who fly across the country to get a consult for stubborn low back pain are missing hip extension, and how to test yours with the couch stretchThe "injury vs. incident" framework that tells you when pain needs a doctor and when you can manage it yourselfHow 20–30 minutes of floor sitting each evening restores the range of motion you thought you'd lost to ageWhy mobility is the missing third leg of the longevity triangle that roughly 90% of people skipBy the end, you'll have a simple, no-equipment way to move without pain and keep the strength and mobility that let you do what you love as you age.Want ad-free episodes? Subscribe to Forever Strong Insider: https://bit.ly/4u5VSRe Listen to “The Ready State Podcast” on all your favorite platforms!YouTube: https://youtube.com/playlist?list=PLB67wXqPqtMe7CcPnz12-_Ds4PRl2fiSZ&si=H4mVbg_kZbe7mszf Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ready-state-podcast/id1334232884 Spotify: https://open.spotify.com/show/53ma83Tknipc7b3ost1RNb

Max talks with Maya Shpak, CEO of SkyPath, about how pilots can avoid turbulence and find smoother air by combining crowdsourced observations, aircraft data, and machine-learning predictions. The idea for SkyPath came from an airline captain and check airman who encountered turbulence and realized that the iPad already carried in the cockpit contained accelerometers capable of measuring aircraft movement. Much like a traffic app gathers information from phones on the road, SkyPath could collect ride-quality observations from participating aircraft, send them to the cloud, and return an updated turbulence picture to other pilots. Maya says the system now receives data from about 40,000 users each day. An iPad observation is only one of five sources used by SkyPath. The system filters accelerometer readings, removes noise, and normalizes each report for aircraft type. That adjustment is important because light turbulence in a large business jet may feel moderate in a smaller general aviation airplane. When two pilots have iPads aboard the same aircraft, SkyPath can compare the two devices and identify a questionable reading. SkyPath also derives turbulence information from ADS-B vertical-rate data. Many aircraft provide both ADS-B reports and iPad observations, allowing the company to compare the two and refine its conversion algorithm. This expands coverage into areas where no participating iPad-equipped aircraft has recently passed. The platform also incorporates PIREPs and eddy dissipation rate, or EDR, reports. EDR is an aircraft-independent measure of atmospheric turbulence widely used in commercial aviation. SkyPath can convert its sensor information into EDR-compatible reports while using existing EDR data to supplement its own observations. The fifth source is SkyPath's predictive model. More than 200 meteorological parameters from NOAA and other government sources are fed into a machine-learning system trained with SkyPath's observational data. This produces estimated ride conditions where direct reports are limited. Maya says this is particularly useful to general aviation pilots flying below normal airline cruise altitudes, although the company generally sees better accuracy above about 5,000 feet. Pilots can use SkyPath before takeoff or during a flight. They may enter a call sign or flight number, paste a route from another electronic flight bag, or operate without a filed IFR flight plan. In its bearing mode, the app monitors an area approximately 100 miles ahead and 15 degrees to either side of the aircraft's direction of flight. It can run in the background and generate an alert about ten minutes before the airplane reaches significant turbulence. For larger operators, the same information can also be delivered through SkyPath's own flight-following tools or integrated EFB systems. Pilots can set the alert threshold, place the app in the background, and continue using their primary navigation display. Dispatchers may receive warnings when an aircraft is approaching rough air and then contact the crew through the operator's normal communications system. Maya says SkyPath was not yet integrated with ForeFlight at the time of the interview, although routes can be copied from ForeFlight into the app. The altitude slider helps pilots compare ride conditions above and below their planned or current altitude. This can support a decision to climb, descend, or choose a different cruising altitude before departure. SkyPath also displays validated smooth-air observations as white hexagons. Knowing where the air is smooth can be more actionable than simply seeing where rough air has been reported. The display uses familiar aviation colors to represent smooth, light, light-to-moderate, moderate, and occasional severe turbulence. Observed and predicted areas appear differently, allowing pilots to distinguish between actual aircraft encounters and conditions generated by the forecast model. Users can filter the display to emphasize the severity levels most relevant to their aircraft and operation. Maya says access to better turbulence information can change pilot behavior. One business aviation operator using SkyPath reported nearly a 50 percent reduction in moderate-turbulence encounters. SkyPath also reviewed 180 published turbulence incidents and found that matching information had been available beforehand in 79 percent of them. The app may also improve communication with passengers. Maya describes pilots showing charter passengers where rough air is expected and when it should end. That visual explanation can help nervous flyers understand why they need to remain seated and keep their seatbelts fastened. Unexpected turbulence can produce injuries, diversions, medical expenses, airport fees, passenger accommodations, replacement-aircraft costs, and schedule disruptions. Even an unsecured passenger, flight attendant, or hot drink can create a serious event. Better information gives pilots more opportunity to avoid the roughest areas or prepare everyone aboard before reaching them. Finally, SkyPath allows pilots to submit a digital PIREP from the app directly into the FAA reporting system. Individual pilots can begin with a free trial and choose between subscription levels. Maya explains how SkyPath is designed to supplement the navigation and weather tools pilots already use while providing a more detailed picture of where they may find rough or smooth air. If you're getting value from this show, please support the show via PayPal, Venmo, Zelle or Patreon. Support the Show by buying a Lightspeed ANR Headsets Max has been using only Lightspeed headsets for nearly 25 years! I love their tradeup program that let's you trade in an older Lightspeed headset for a newer model. Start with one of the links below, and Lightspeed will pay a referral fee to support Aviation News Talk. Lightspeed Delta Zulu Headset $1299NEW – Lightspeed Zulu 4 Headset $1099 Lightspeed Zulu 3 Headset $949Lightspeed Sierra Headset $749 My Review on the Lightspeed Delta Zulu Send us your feedback or comments via email If you have a question you'd like answered on the show, let listeners hear you ask the question, by recording your listener question using your phone. News Stories FAA Expands Approval List For Swift Fuels' 100R Unleaded Avgas FAA Accepts New MOSAIC Light-Sport Standards ForeFlight's Newest Feature ClearNOTAMs Industry urges Congress to provide $20 billion for air traffic control upgrades New Sentry SkyPlay Brings ForeFlight to the Instrument Panel Redbird Unveils G1000 NXi Emulator, Enhanced Simulator Panel Lightspeed Headset Customized For Rotax Power Bad Boy's File: Florida Speeder May Miss His Checkride Mentioned on the ShowBuy Max Trescott's G3000 Book Call 800-247-6553 SkyPath Turbulence App Free Index to the first 282 episodes of Aviation New Talk So You Want To Learn to Fly or Buy a Cirrus seminars Online Version of the Seminar Coming Soon – Register for Notification Check out our recommended ADS-B receivers, and order one for yourself. Yes, we'll make a couple of dollars if you do. Get the Free Aviation News Talk app for iOS or Android. Check out Max's Online Courses: G1000 VFR, G1000 IFR, and Flying WAAS & GPS Approaches. Find them all at: https://www.pilotlearning.com/ Social Media Like Aviation News Talk podcast on Facebook Follow Max on Instagram Follow Max on Twitter Listen to all Aviation News Talk podcasts on YouTube or YouTube Premium "Go Around" song used by permission of Ken Dravis; you can buy his music at kendravis.com If you purchase a product through a link on our site, we may receive compensation.

Dave Crosland and Scott McNally are back to answer your bodybuilding and PED questions! We break down a new study comparing trenbolone users to steroid users who don't use tren and discuss what it may tell us about the long-term health risks of running tren, including the idea of using it year-round. Then we answer your questions on combining tren and Deca, DHB vs tren, TRT, Dianabol, chest training, cardiovascular health, and much more. ⏱️ TIMESTAMPS 0:00 Should You Run Tren & Deca Together? 1:00 Welcome Back to DNS 1:40 Technical Difficulties! 3:10 New Trenbolone Health Study 9:20 Is Year-Round Tren Ever Worth It? 14:30 Fear of Coming Off Cycle & Losing Gains 19:10 Staying On During the Diet Rebound 23:25 Low Hematocrit in Endurance Athletes 26:00 Can Dianabol Replace Testosterone? 29:30 TRT While Serving in the Military 33:25 Tren + Deca: Pros & Cons 41:00 How to Bring Up a Weak Chest 55:00 Higher Dose One Compound vs Lower Doses of Many 58:20 Testosterone Propionate & Estrogen 59:40 Dave & Scott Quit the Podcast...? 1:02:45 Uncle Dave's Advice 1:14:45 Left Ventricular Hypertrophy in Bodybuilding 1:17:35 DHB vs Trenbolone 1:19:00 Credit Scores & Final Thoughts UK Blood Work Get your Labs done by Dave in the UK : https://evalbloodanalysis.com/home/ Support the Podcast Patreon — Help keep the show growing. Even $5/month makes a difference. https://www.patreon.com/thinkbigbodybuilding Sponsors TRUE NUTRITION — Custom supplements for serious lifters Use code THINK to save https://www.truenutrition.com/THINK STROM SPORTS — Performance supplements trusted by athletes UK: https://tinyurl.com/ydmbfa54 US: https://stromsportsus.com Supplement Source Canada — Top brand supplements with fast shipping http://www.supplementsource.ca Merch Official THINK BIG Merch — Train, represent, support the brand https://think-big.printify.me/products

Venture capital is pouring into the agency world because of AI — and Jordan sits down with one of the founders at the front of that curve. Jason Hu (UChicago '22, ex-AI researcher, a16z-backed) built Nexad, an AI-native platform for marketing agencies that wraps every major model and 1,000+ integrations into one command center. They cover the three archetypes of AI adoption in agencies, a live demo of creative generation, account health audits, and bulk campaign operations, how Nexad auto-routes between models like Claude, GPT, and Kimi K3 based on daily benchmark evals — and why Jason believes agencies will thrive, not die, in the AI era.Key TakeawaysThe three AI-adoption archetypes: (1) the unfamiliar — heard the buzzwords, only ever used ChatGPT as a chat; (2) the majority — using point solutions (creative gen, one-off agents) but not chaining them into agentic workspaces; (3) the frontier — operators running 20+ agents simultaneously. Each has different pain points; the platform meets all three where they are.The "impossible to keep up" problem: New models ship weekly. Nexad positions as a wrapper and router — an internal eval system runs each new model against ~30 representative agency tasks (health checks, complex campaign ops, long-running tasks) and auto-selects the best cost/performance option daily.Real routing example: Within an hour of Kimi K3's launch, their evals found performance comparable to Claude Opus 4.8 at roughly half the cost — so mid-tier traffic was rerouted automatically. Users pick a tier (Light / Pro / Max), not a model.The agent = a marketing employee's loop: ingest inputs (client comms, ad platform data from Meta/Google/TikTok/GA4, competitor intel), process (analysis, creative generation), output (campaign changes, uploads, client-ready reports). The demo covered competitor creative teardowns, a shareable account health audit, and bulk-uploading 100 creatives to Meta.Guardrails for sensitive actions: budget or creative changes trigger explicit review-and-approve prompts and batch action review — a contrast Jason draws with running raw agents that can "go rogue" in the backend.Client context is the killer feature: the platform reads Slack, Gmail, meeting transcripts, and Drive to build persistent client context ("no logos in creatives") that agents apply automatically — over 50% of agency hours go to client communication, and this attacks that directly.Chat first, automate second: typical adoption path is playing in the chat interface, then converting proven outputs into scheduled automations (e.g., daily health check → Slack report) in about 10 seconds.The closing thesis: AI commoditizes the execution layer of agency work. What remains — and becomes the whole game — is creativity, client trust, and proprietary market insight. Agencies thrive in the AI era; they don't disappear.Resources & LinksNexad: nex.adJason Hu on LinkedIn: linkedin.com/in/qitian-huWork with Jordan: 8figureagency.co

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Send us Fan MailA breach can hit your headlines even when your own systems never get touched, and that's exactly why third-party risk management keeps showing up on the CISSP exam and in real incident reports. We walk through the Vimeo breach tied to its analytics vendor Anodot, where compromised vendor access and authentication tokens gave attackers a clean path to customer data. No video content or payment data was taken, but names, emails, and metadata exposure is still a trust and reputation problem that security teams have to own.From there, we zoom out to the bigger pattern behind modern supply chain security: attackers increasingly go after dependencies, CI/CD pipelines, shared developer tools, and widely used vendors because one compromise can cascade across hundreds of customers. We talk about how to reduce that exposure with a stronger TPRM program, including vendor risk tiering, continuous monitoring, SBOM thinking, and practical contractual controls like breach notification timelines, right to audit language, and clear subcontractor disclosure with flow-down requirements to address fourth-party risk.We also shift into CISSP Domain 1 rapid review mode: what the exam really wants when it asks about due diligence, evidence, and proportional risk decisions. You'll hear clean explanations of SOC 2 Type 1 vs SOC 2 Type 2, where ISO 27001 fits, why questionnaires like SIG are not proof, and which frameworks matter for third-party and supply chain risk management including NIST 800-161, ISO 27036, and NIST CSF 2.0. We close with practice scenarios that mirror common CISSP traps so you can spot them fast.Subscribe for more CISSP training, share this with a study partner, and leave a review so more security pros can find the show.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox!  Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

Nicky Szmala joined PicDrop as CEO after the acquisition — walking into a company built by photographers, for photographers, with a growth engine already running. What he found was a community-led model that's quietly outperforming the shortcuts everyone else is chasing.In this episode:→ How picdrop finds and works with influencers who already use the product→ The two-engine growth model driving international expansion→ What it actually looks like to lead a team post-acquisition (and why openness is everything)→ Why picdrop team bets on events even though it's "100% not scalable" → Nicky's take on AI, photography rights, and community trust in a shifting landscapeThis one's for founders and operators who want real talk on brand building, community-led growth, and what life looks like inside a SaaS acquirer's portfolio.----------- Episode's Chapters -----------0:06 — Meet Nicky: From Asia to PicDrop CEO1:23 — Why Anna Was Skeptical About the Acquisition2:44 — Joining a Company Post-Acquisition: Nicky's Approach7:03 — Nicky's Background: From Berlin to 16 Years in Asia14:27 — What Is PicDrop and Who Uses It25:20 — How saas.group's Central Teams Supercharge Small Brands

Get an extra four months of ExpressVPN for free: go to https://www.expressvpn.com/official Get additional episodes and bonus content with early access (try now with 7 DAYS FREE): go to https://www.OFFICIAL.men Three close man-friends gather around to talk about exploring the great country that is the United States of America. This is the Official Podcast. Every Tuesday. Links Below. THE OFFICIAL NETWORK CHANNEL (SUBSCRIBE NOW): https://www.youtube.com/channel/UCcHYe-Qw7qUN5gFWMdj9nNw Episode 499: Recorded 30/08/26 --- Get additional episodes and bonus content with early access: Go to https://www.OFFICIAL.men or https://www.PATREON.com/THEOFFICIALPODCAST --- Timestamps: [00:00:00] Intro [00:05:47] AI companions after ChatGPT -40 [00:08:58] Grok's Annie, Valentine, and Rudy [00:13:40] Grok shuts down its companions [00:15:48] AI companion roleplay [00:20:09] Users avoiding the AI conversation [00:26:12] Jackson's AI girlfriend [00:31:47] Why users miss overly affirming AI [00:43:59] Printer tracking dots and digital surveillance [00:55:40] People grieving lost AI partners [00:59:44] Running AI companions locally [01:04:02] Orkid AI relationship ad [01:07:03] Booking an anniversary dinner [01:11:23] Privacy risks of AI assistants [01:15:38] Outro --- Audio Platforms (Spotify, Apple, Amazon, & Castbox): https://linktr.ee/theofficialpodcast Other Shows: https://linktr.ee/theofficialnetwork --- Hosts: Jackson: https://twitter.com/zealotonpc Andrew: https://twitter.com/huggbeestv Kaya: https://twitter.com/kayaorsan --- Additional Links: Channel: https://www.youtube.com/channel/UCcHYe-Qw7qUN5gFWMdj9nNw Subreddit: https://reddit.com/r/theofficialpodcast Patreon: https://www.patreon.com/theofficialpodcast Intro by: https://www.youtube.com/c/Derpmii Music by: https://soundcloud.com/inst1nctive & https://www.instagram.com/00zaya Art by: https://www.instagram.com/nook_eilyk/ & https://www.instagram.com/vaux.z Edited by: https://www.instagram.com/00zaya Designer: http://www.jr-design-co.com/ Produced by Jackson Clarke for The Official Network Learn more about your ad choices. Visit megaphone.fm/adchoices

From Tamagochis to AI companions, generations of machines have been designed to push on our “evolutionary buttons”—ones that ask us to respond to their needs. In this episode, audio reporter Laura Karpas speaks to researchers including the Center for Democracy and Technology's Michal Luria and Harvard Business School's Julian De Freitas to explore the dark patterns in AI companions, and what happens when users go to say “goodbye.”

This month brought a relentless barrage of explosive cover-ups, deep-state collusion, and critical revelations that the regime's fake-news apparatus refuses to touch. From exposing the hidden Fort Huachuca timelines and tearing down the fraudulent narratives surrounding high-profile assassinations to blowing the lid off NDAA provisions forcing foreign technology into American military hardware, we've tracked every single betrayal they tried to hide from you. This monthly recap delivers an aggressive, line-by-line breakdown of uncensored interviews, courtroom scrambling, rampant censors taking down independent voices, and the treacherous globalist agendas actively dismantling our nation. Catch up on every single bombshell report, exclusive investigation, and live exposé you missed this month—uncensored, uncompromising, and absolutely unapologetic. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

This episode features an interview with Dr. Jennifer Deal regarding the complex link between hearing loss and cognitive decline in older adults. Dr. Deal explains several hypotheses for how hearing impairment may cause cognitive decline, including increased cognitive load, structural brain changes, and social isolation. She highlights findings from the ACHIEVE trial, which suggest that while hearing interventions might not help everyone, they appear to slow cognitive decline in high-risk populations. Furthermore, the episode addresses the methodological challenges of testing patients with sensory deficits and advocates for universal accommodations in clinical settings. Ultimately, the episode underscores the importance of treating hearing loss to improve quality of life and potentially preserve long-term brain health. Show notes are available at www.NavNeuro.com/196 _________________ If you'd like to support the show, here are a few easy ways: 1) Get CE credits for listening to select episodes: www.NavNeuro.com/INS (for step-by-step guidance, go to: www.NavNeuro.com/CEguide) 2) Subscribe (free) and leave an Apple Podcasts rating/review: www.NavNeuro.com/itunes 3) Check out our book Becoming a Neuropsychologist, and leave it an Amazon rating   Thanks for listening, and join us next time as we continue to navigate the brain and behavior! [Note: This podcast and all linked content is intended for general educational purposes only and does not constitute the practice of psychology or any other professional healthcare advice and services. No professional relationship is formed between hosts and listeners. All content is to be used at listeners' own risk. Users should always seek appropriate medical and psychological care from their licensed healthcare provider.]

Plus - Google says it fixed more Chrome bugs in June than over the past two years, thanks to AI; LinkedIn adds a button to report AI-generated ‘slop' Learn more about your ad choices. Visit podcastchoices.com/adchoices

Notes: Ms. Ayerza studied criminology, forensic behavioural sciences and psychology. Her early research examined eyewitness memory and the re-entry of exonerees before she became interested in cybercrime and cyberstalking. She was drawn to cybercrime because it is not limited to hacking, malware and phishing. Technology is part of everyday life through social media, email, dating apps and other commonly used services. Dating apps allow users to create profiles, specify the people and relationships in which they are interested and indicate interest in other users. When two users express an interest in one another, they can normally begin communicating through the app. Some dating apps are intended for broad audiences, while others serve particular lifestyles, interests or sexual orientations. Profiles are often presented as individual photographs or grids of photographs from which users make selections. Ms. Ayerza explains that dating apps are designed to make dating convenient and can feel like games. The superficial and rapid nature of matching can encourage users to make decisions based primarily on photographs. Harassment can arise when users send repeated messages in an effort to gain someone's attention. Some people may not recognize these repeated or unwanted communications as harassment. Users may also deliberately match with someone because they disagree with something in that person's profile and want an opportunity to criticize or harass them. Ms. Ayerza conducted an online survey of adult dating app users living in the United States. The study examined the information people included in their profiles, the photographs they shared and characteristics of the applications they used. The study considered whether users disclosed their relationship preferences, sexual orientation, workplace or occupation. It also examined whether they used their full name or an alternative name and whether their photographs included friends or family. Verification on dating apps can be a relatively superficial process in which a live photograph is compared with the photographs on a profile. Premium features may also allow users to change the location in which their profiles appear. Users often adopt their own protective measures, such as using pseudonyms or withholding photographs of their faces. However, designing effective technical safeguards is difficult because repeated messages can be part of both ordinary conversations and harassment. Most dating app users do not experience harassment, but Ms. Ayerza says that around a quarter of the users in the study experienced these forms of harm. The study did not compare victimisation across individual dating apps. Ms. Ayerza suggests that larger platforms may have more resources and face greater public pressure to introduce safeguards, while smaller platforms may have fewer resources. Sharing relationship or sexual orientation preferences was not found to increase risk. Ms. Ayerza suggests that these preferences help platforms present users with people who have similar interests without necessarily revealing where someone can be found. Including information about where a person works or studies increased risk. Photographs featuring friends or family also had an influence because they can reveal social connections and additional information about the user. Uploading photographs of one's face was not found to increase risk, possibly because facial photographs are a normal and often required part of using dating apps. Matching with someone under the age of 18 increased risk. Ms. Ayerza connects this finding to the limited measures used by dating apps to confirm that users are old enough to participate. One of the most surprising findings was that using a pseudonym or nickname increased risk. Ms. Ayerza discusses the possibility that an alternative name creates a false sense of security and encourages people to disclose more information. Ms. Ayerza advises users to think carefully about what they disclose. Preferences may be appropriate to share, while details about occupations, workplaces, friends and family may be better withheld until someone is known more closely. She emphasizes that responsibility should not be placed entirely on victims. People should understand that harassment is unacceptable and platform operators should do more to prevent and respond to harmful behaviour. Possible platform interventions include better reporting mechanisms and educational or training modules that users complete before creating a profile. Schools could help prepare young people to communicate appropriately on dating apps once they are old enough to use them. Ms. Ayerza also argues that governments should treat conduct on dating apps more seriously because every profile represents a real person. Future researchers need measures that reflect the activities people actually perform on dating apps. Greater consistency would also make it easier to compare findings across studies. Ms. Ayerza plans to examine offending as well as victimisation. Her future research will consider unwanted sexual messages, sexual violence and the experience of multiple forms of harm on dating apps. About our guest: Jennifer M. Ayerza, M.A. https://cls.gmu.edu/people/jayerza https://cebcp.org/team/jennifer-ayerza/ https://www.linkedin.com/in/jennifer-ayerza-38353a233 Papers or resources mentioned in this episode: Ayerza, J. M., Lee, J. R., O'Malley, R. L., & Lee, C. S. (2026). Cyberstalking and online dating: Examining cyberstalking victimization among dating app users. Asian Journal of Criminology, 21, Article 5. https://doi.org/10.1007/s11417-025-09480-2  

WHAMMY! David Koechner Is On Da Pod! | Ep 179Happy Friday everyone!Our guest today needs no introduction, so the guys forgot to give him one!David Koechner, aka Champ Kind from the Anchorman films, is in studio to talk !@#$. Quite literally! Because it doesn't take long for this pod to devolve into potty humor. Apologies in advance!Matt starred in ‘The Comebacks' with David twenty years ago! Needless to say they have plenty to catch up on, specifically “Who are you, again?”All joking aside, that's exactly what you're gonna get today! Jokes! Maybe David is losing his edge, but he definitely hasn't lost his knuckleball!Joey had to Zoom in, and maybe he lucked out! Because nobody is spared this week, even producer Jim!Buckle up, it's a wild one!Happy Friday and we'll see you next week!Support our pod with our official merch!https://bropodmerch.bigcartel.com

In this urgent PSA episode of Coin Stories, Natalie Brunell sits down with Rob Hamilton, co-founder and CEO of AnchorWatch and one of the first people to analyze the ColdCard seed hack on-chain, to explain what happened and what ColdCard users need to do right now. We cover: Which ColdCard models and firmware versions are affected Why the seed phrases became guessable in the first place, explained with no jargon Why moving your seed onto another manufacturer's device does not remove the risk What to do ASAP, step by step, including the test transaction people skip when they're panicked Follow Rob Hamilton at https://x.com/Rob1Ham - his DMs are open. ---- Order Natalie's new book "Bitcoin is For Everyone," a simple introduction to Bitcoin and what's broken in our current financial system: https://amzn.to/3WzFzfU  ---- Ledn is the global leader in Bitcoin-backed loans, issuing over $10 billion in loans since 2018, and they were the first to offer proof of reserves. With Ledn, you get custody loans, no credit checks, no monthly payments, and more. Get .25% off your first loan, learn more at https://www.Ledn.io/natalie  ---- Speed is my go-to Bitcoin Lightning wallet! Send, receive, or swap stablecoins and digital gold into Bitcoin in one app. Run a business? Speed powers Bitcoin payments for Steak 'n Shake, and it can do the same for you. Download at https://speed.app/natalie  and use code COINSTORIES10 for 5,000 free sats after your first transaction. ---- Abundant Mines is a fully-managed Bitcoin mining in the U.S. You own the miners. You keep 100% of the Bitcoin. Voted #1 mining company by peers. Get 1 month of free hosting: AbundantMines.com/Natalie ---- Natalie's Bitcoin Product Partners: Download Bitkey Today and use my promo code STORIES to get 10% off the new Bitkey: https://bitkey.world/STORIES  Master your Bitcoin self-custody with 1-on-1 help and gain peace of mind with the help of The Bitcoin Way: https://www.thebitcoinway.com/natalie  With BitcoinIRA, you can invest in bitcoin 24/7 inside a tax-advantaged IRA. Choose a Traditional IRA to defer taxes, or a Roth IRA for tax-free withdrawals later. Take control of your future with BitcoinIRA: https://www.bitcoinira.com/natalie  Natalie's Upcoming Events: The best time to plan for Bitcoin 2027 is right now. Early bird tickets are live — grab the lowest pricing available and use code HODL for 10% off: https://tickets.b.tc/event/bitcoin-2027?promoCodeTask=apply&promoCodeInput=HODL  Extra Services to Consider: Protect yourself from SIM Swaps that can hack your accounts and steal your Bitcoin. Join America's most secure mobile service, trusted by CEOs, VIPs and top corporations: https://www.efani.com/natalie   Ditch your fiat health insurance like I did four years ago! Join me at CrowdHealth: www.joincrowdhealth.com/natalie ---- This podcast is for educational purposes and should not be construed as official investment advice. Ads in this episode are baked-in and may reference promotions or offers that are no longer available at the time of listening.  

Meats. Often the centerpiece of the meal, meats offer a nutritional profile that is impossible to replicate without them or supplements. Not all meats are created equal though. In this video I break down the relative nutritional profiles to see which ones you should be building your meal plan around, and which ones are best left on the shelf.  

The Leah Files joins Stew to take a deeper look into what made TPUSA the billion dollar organization they've become. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Over 500 published papers stand behind one of the internet's most popular peptides, but fewer than 30 of the humans studied are in them. Dr. Gabrielle Lyon separates the molecule from the marketplace so you can tell real evidence from good marketing.In this solo episode, Dr. Gabrielle Lyon discusses:Why BPC-157's "mountain of evidence" collapses to a 99.7% animal-to-human ratio - 544 papers, but fewer than 30 humans across three uncontrolled pilot trialsHow to place any peptide on the spectrum from FDA-approved (GLP-1s like semaglutide) to investigational to compounded, and why "GLP-1s work, so peptides work" is a trapWhat the FDA quietly did in April 2026, and why removing a dozen peptides from its safety-concern list was driven by policy pressure, not new safety dataThe 4 questions to run on any peptide before you inject level of evidence, what the study measured, where it's sourced from, and whether it's banned in tested sportWhy the "boring work", resistance training, protein-anchored nutrition, and real recovery beat almost anything in a vialIf something is going into your body through a needle, the standard has to be higher than three words on a label that say "research use only." This episode gives you the framework to protect yourself before spending a dollar or taking a shot.Thank you to our sponsors:Head to https://bit.ly/4ftfObn and use code DRLYON for 25% off sitewide. That is K-E-T-T-L-E and Fire dot com slash DRLYON, code DRLYON for 25% off. Also available at select Sprouts, Whole Foods, and Kroger locations nationwide.BodyHealth - Use the code LYON20 to get 20% off your first order https://bit.ly/4vZs75j OneSkin - Get 15% off at https://bit.ly/44XXQYy with code DRLYONExplore More from Dr. Gabrielle LyonPremium Podcast Subscription: Ad-free episodes, key takeaway summaries, exclusive Q&A, and behind-the-scenes content https://foreverstrong.supercast.comWeekly newsletter: Recipes, podcast updates, and practical weekly insights https://drgabriellelyon.com/sign-up/Apply to become a patient: Personalized care with Dr. Lyon's clinical team https://drgabriellelyon.com/new-patient-inquiry/Connect with Dr. Gabrielle Lyon:Instagram: https://www.instagram.com/drgabriellelyon/TikTok: https://www.tiktok.com/@drgabriellelyon X (Twitter): https://x.com/drgabriellelyonFacebook: https://www.facebook.com/doctorgabriellelyon Chapters00:00 - Introduction01:30 - What a peptide is03:40 - The first mistake: treating peptides as one category05:50 - GLP-1s and the "peptides work" fallacy09:30 - FDA-approved peptides: tesamorelin and s15:40 - Repair peptides: BPC-157 and the Wolverine stack16:30 - 544 studies, 30 humans: the evidence gap20:00 - The strongest case for peptides25:30 - The strongest case against peptides29:00 - Compounded peptides and contamination risk30:00 - What the FDA quietly did in April 202633:40 - The 4 questions to ask before any peptide37:40 - The boring work that changes your life If you found this episode valuable, share it with someone who would benefit from it.Disclaimers: This episode includes paid sponsorships. The Dr. Gabrielle Lyon Podcast and YouTube are for general information purposes only and do not constitute the practice of medicine, nursing, or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast, YouTube, or materials linked from this podcast or YouTube is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professional for any such conditions.

Riley Hill and Tim Chaten discuss the new leasing program by Apple backed by Klarna and share more of our experiences with Siri AI. Early episodes are available by supporting the podcast at www.patreon.com/ipadpros. Early episodes are also now available in Apple Podcasts!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Links:- https://slatepad.org/2026/07/28/apple-upgrade-ipad-leasing-explained/ Hosted on Acast. See acast.com/privacy for more information.

There are medical doctors, osteopathic doctors and naturopathic doctors. You don't hear as much about the NDs but they are a part of the healthcare system. The question is, can they help or assist you if you have an anxiety condition? In this episode, a look at the licensed naturopathic doctors, the services offered and can they be another healthcare resource? Resources Mentioned:  The U.S. National Institute of Health has an explainer page about Naturopathic Medicine.   The Council on Naturopath Medical Education has an information page on the type of conditions these doctors treat.   American Association of Naturopathic Physicians has a map that shows where naturopathic doctors are licensed in the U.S. and Canada and the current status of other U.S. states considering licensing these types of doctors.   Emergency Resources   The Trevor Project: Provides crisis support specifically for LGBTQ+ youth through phone (1-866-488-7386), text (START to 678-678), and online chat. Available 24/7. They also provide peer support and community.    Veterans Crisis Line: Call 988 and press 1, text 838255, or chat online. There are phone lines for those serving overseas. Visit the website to find the current status of the Veteran line and international calling options.    National Crisis Text Line: Text HOME to 741741 for free, confidential support 24/7. This service operates independently of the 988 service. Users can use text, chat or WhatsApp as a means of contact.   Disclaimer:  Links to other sites are provided for information purposes only and do not constitute endorsements.  Always seek the advice of a qualified health provider with questions you may have regarding a medical or mental health disorder. This blog and podcast is intended for informational and educational purposes only. Nothing in this program is intended to be a substitute for professional psychological, psychiatric or medical advice, diagnosis, or treatment.

Send money home with Taptap Send and use promo code FIGURINGOUT on your first transfer to receive a bonus.This offer is available to new users only. Users in the US and Canada must send 100 or more on their first transfer to qualify for the bonus.Bonus amounts:USA: $20 USDCanada: $20 CADEuropean Union: €10United Kingdom: £10Australia: $30 AUDTo view the full list of supported countries and terms, visit: https://www.taptapsend.com/enGet your hand-picked playbook here: https://www.figuringout.co/pdf/fo-542Check out Friends: https://amzn.in/d/06nXryK5Guest Suggestion Form: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://forms.gle/bnaeY3FpoFU9ZjA47⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Disclaimer: This video is intended solely for educational purposes and opinions shared by the guest are his personal views. We do not intent to defame or harm any person/ brand/ product/ country/ profession mentioned in the video. Our goal is to provide information to help audience make informed choices. The media used in this video are solely for informational purposes and belongs to their respective owners.(00:00) - Intro(03:24) - India's "Live-In Relationship" Foreign Policy Explained(05:46) - India's Seven Key Strategic Partners(18:50) - Japan: A "Brotherly" Relationship & Countering China(23:58) - How Japan & India Can Offer an Alternative to China's Belt and Road(26:42) - China's "Debt Trap" Diplomacy vs. Japan's Approach(28:47) - India's Non-Dominating Foreign Policy & Civilizational Roots(52:02) - The United States: A Deep but Complicated Partnership(57:17) - Why the US-India Relationship Struggles in India's Neighborhood(1:05:29) - France: Why It's India's Most Trusted Western Partner(1:15:23) - UAE: India's Fastest-Growing & Most Open Partnership(1:22:33) - How the World Really Ranks India Among Its Priorities(1:26:29) - BTS(1:26:51) - OutroIn today's episode, we sit down with Sreeram Chaulia, Professor & Dean at the Jindal School of International Affairs, a foreign affairs expert, author, and TV show host who has spent years decoding how nations actually think and behave on the world stage.Follow Sreeram Chaulia Here:Instagram: https://www.instagram.com/sreeramchaulia/LinkedIn: https://www.linkedin.com/in/dr-sreeram-chaulia-b6164110/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠About Raj ShamaniRaj Shamani is an Entrepreneur at heart that explains his expertise in Business Content Creation & Public Speaking. He has delivered 200+ speeches in 26+ countries. Besides that, Raj is also an Angel Investor interested in crazy minds who are creating a sensation in the Fintech, FMCG, & passion economy space.To Know More,Follow Raj Shamani On ⤵︎Instagram @RajShamani ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/rajshamani/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter @RajShamani ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/rajshamani⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook @ShamaniRaj ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/shamaniraj⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn - Raj Shamani ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/rajshamani/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠About Figuring OutFiguring Out Podcast is a Candid Conversations University where Raj Shamani brings raw conversations with the Top 1% in India.

Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Dr. Anil Bajnath joins the show to discuss the future of integrative medicine, artificial intelligence, multi-omics, and how personalized healthcare is transforming the way clinicians identify and treat chronic disease. Together, we explore why moving beyond symptom management to uncover root causes is essential for improving patient outcomes and advancing the next generation of medicine.We dive into:What precision medicine really means and why it's reshaping healthcareHow AI can enhance clinical decision-making without replacing the clinicianThe role of multi-omics in identifying the root causes of chronic illnessEnvironmental toxins, lifestyle factors, and other hidden drivers of diseaseWhy biomarkers and personalized data are the foundation of preventive medicinePharmacogenomics and tailoring treatments to each individual's unique biologyThe concept of your "biological 401(k)" and investing in long-term healthspanWhy clinicians need to embrace systems biology and pattern recognitionThe future of precision health education and preparing providers for the next era of medicinePractical ways patients and practitioners can begin applying precision medicine today

The Information's Stephanie Palazzolo talks with TITV Host Akash Pasricha about ChatGPT nearing 1 billion weekly active users and Stripe's $10 billion OpenRouter acquisition. We also talk with Rocket Drew about Reflection AI's secret race to build an open-source AI champ, and we get into open-source AI safety with Cisco President Jeetu Patel.Articles discussed on this episode: https://www.theinformation.com/articles/openais-chatgpt-nears-1-billion-weekly-active-users-seven-months-targethttps://www.theinformation.com/articles/nvidia-bet-reflection-open-source-ai-now-startup-playing-catchSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - OpenAI's ChatGPT Nears 1 Billion Users09:47 - Stripe's $10 Billion OpenRouter Multiples17:03 - Inside Nvidia-Backed Reflection AI28:00 - Cisco President Jeetu Patel on AI Safety

On this episode I sit down with Olivier Legris, co-founder of Alter, a native macOS AI assistant that refuses to bet on any single model, and founder of Clauders, the global Claude Ambassador community.Olivier's thesis is simple: the model doesn't matter to most people, the task does. Alter started as a frustration with Siri and has become a Mac-native, model-agnostic assistant with its own router, Best, that picks the right model for the job. When Alter shipped that router, Olivier expected a fight over which model was best. Instead, barely 10% of users ever touch the model picker. They just want the task done.We get into why Mac is quietly the best platform for building AI products, the challenge of building on a market that moves faster than any roadmap can keep up with, and Olivier's read on the "Linux of AI" moment happening with agent frameworks right now, powerful, but still too complicated for anyone outside the bleeding edge.We also talk about the Clauders community, how it grew from 50 ambassadors to a genuine cross-border network, and the 90/9/1 rule that keeps it alive. And we close on the big picture: open source versus proprietary models, on-device AI, and whether Anthropic and OpenAI will actually IPO this year.Enjoy the show.

On this episode of the FCAT Crypto Brief, the team explores onchain vaults and their growing role in decentralized finance. The discussion examines how vaults automate lending, borrowing, and yield strategies, along with the role of vault curators and the tradeoffs between convenience, risk, and control.  The conversation also highlights key infrastructure, market, and risk considerations, exploring how vaults could shape the future of digital asset management as more assets and financial products move onchain. Episode Topics: [0:00] Intro & DTCC Tokenization News [7:05] What Are DeFi Vaults? [13:29] How Vaults Work: Curators, Users, and Governance [19:20] Risks of Onchain Vaults [24:30] Future of Vaults & Bringing Traditional Finance Onchain [26:29] Outro Stay connected with us beyond the podcast by following FCAT on, Instagram, LinkedIn, and X, where we share additional insights and updates on all things emerging tech.  Whether you're crypto-curious or have a crypto foundation, Fidelity may have your next career opportunity. EXPLORE NOW.  Please remember: this podcast is solely for informational and educational purposes and is not investment, tax, legal or insurance advice. Digital assets are speculative and highly volatile and you should conduct thorough research before you invest. To learn more, visit: FCATalyst.com FMR LLC. © 2026 FMR LLC. All rights reserved. Chapters (00:00:00) - Intro & DTCC Tokenization News(00:07:05) - What Are DeFi Vaults?(00:13:29) - How Vaults Work: Curators, Users, and Governance(00:19:20) - Risks of Onchain Vaults(00:24:30) - Future of Vaults & Bringing Traditional Finance Onchain(00:26:29) - Outro

Jerry Buttimer, Minister of State with responsibility for Rural Transport and Mary Lou McDonald, leader of Sinn Féin

Everyone on a GLP-1 is watching the scale; almost no one is watching their bones. Bone loss isn't an inevitable part of aging; it's a reversible signal that something deeper is going wrong, and it starts far earlier than most people are ever warned.In this episode, Dr. Gabrielle Lyon sits down with Dr. Douglas Lucas, a former Stanford-trained orthopedic surgeon turned bone-health specialist, to discuss:Why bone loss begins around 45 during perimenopause, not 50, and why waiting for your first DEXA scan at 65 is far too late to prevent itThe blind spots in the standard DEXA scan: a scan-to-scan margin of error near 6% and no read on bone quality, only quantityBone turnover markers (CTX and P1NP) you can test from blood to see whether you're building or breaking down bone in real timeWhy the "protein is bad for bones" and "alkalize your diet" beliefs are myths and why protein, minerals, and adequate calcium matter more than calcium aloneWhat rebuilds bone at home: resistance training, real impact like heel drops, and vertical vibration plates used ~10 minutes a dayUnderstanding your bones as a living, changeable organ system means you can catch loss early, measure it honestly, and reverse the trajectory, instead of accepting decline as your fate.Thank you to our sponsors:Head to https://bit.ly/4ftfObn and use code DRLYON for 25% off sitewide. That is K-E-T-T-L-E and Fire dot com slash DRLYON, code DRLYON for 25% off. Also available at select Sprouts, Whole Foods, and Kroger locations nationwide.BodyHealth - Use the code LYON20 to get 20% off your first order https://bit.ly/4vZs75jOneSkin - Get 15% off at https://bit.ly/44XXQYy with code DRLYONExplore More from Dr. Gabrielle LyonPremium Podcast Subscription: Ad-free episodes, key takeaway summaries, exclusive Q&A, and behind-the-scenes content https://foreverstrong.supercast.comWeekly newsletter: Recipes, podcast updates, and practical weekly insights https://drgabriellelyon.com/sign-up/Apply to become a patient: Personalized care with Dr. Lyon's clinical team https://drgabriellelyon.com/new-patient-inquiry/Find Dr. Doug Lucas at:Website: https://drdouglucas.com/Instagram: https://www.instagram.com/dr_douglucas/LinkedIn: https://www.linkedin.com/in/doug-lucas-b0243522/Connect with Dr. Gabrielle Lyon:Instagram: https://www.instagram.com/drgabriellelyon/TikTok: https://www.tiktok.com/@drgabriellelyonX (Twitter): https://x.com/drgabriellelyonFacebook: https://www.facebook.com/doctorgabriellelyonChapters00:00 - Introduction: Why a Stanford surgeon quit02:00 - The 3 a.m. case that changed everything04:35 - Bone as a dynamic organ system06:14 - When bone loss begins08:20 - Rejecting age-related bone loss09:27 - Why the conventional playbook fails10:55 - The two classes of bone drugs14:38 - Bone quantity vs. bone quality17:23 - Best tests for bone quality20:52 - T-score vs. Z-score explained26:59 - Hormones directed at bone27:08 - Bone turnover markers P1NP and CTX34:57 - Bone loss starts at 45, not 5039:23 - Calcium myths and what to eat45:42 - How to destroy your bones50:12 - Medications that weaken bone54:46 - Why an ultra-runner still lost bone55:53 - Heel drops and impact training57:54 - Vibration plates and osteogenic loading1:12:38 - Know your starting pointIf you found this episode valuable, share it with someone who would benefit from it.Disclaimers: This episode includes paid sponsorships.The Dr. Gabrielle Lyon Podcast and YouTube are for general information purposes only and do not constitute the practice of medicine, nursing, or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast, YouTube, or materials linked from this podcast or YouTube is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professional for any such conditions.

I'm explaining why counting calories alone has never been the key to lasting weight loss, and how hormones like insulin determine whether your body stores fat or burns it. Learn the simple nutrition, metabolism, and lifestyle signals that unlock fat burning, reduce cravings, and help you lose weight without relying on willpower alone.GET A CUSTOMIZED WEIGHT LOSS PLAN:Have a free 1-on-1 call with our Expert Nutritionists

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

Our recent guests, Dr. Eric Cline and Dr. Jesse Millek have wildly different takes on the Bronze Age Collapse, and the picture that comes clear when you lay them side by side is not the one the textbooks handed down. The Sea Peoples did not come off the water and burn the world; the world was already coming apart from the inside, empires overreaching, trade thinning rather than snapping, cities emptying without a single sword raised against them. We walk the whole arc here, from the Minoans and their lost writing to the Hittites at each other's throats to the slow bleed of belief that hollows a civilization long before anything falls, and we ask the question that keeps this three-thousand-year-old story pulling millions of views. Why does the end of the Bronze Age feel so much like a mirror, and what does it know about us that we would rather not know about ourselves?TEXTS REFERENCED: The Mycenaean World: https://www.scribd.com/document/670938930/The-Mycenaean-World-Chadwick-PressLife & Society in The Hittite World: https://www.academia.edu/2231393/Life_and_Society_in_The_Hitite_World_by_Trevor_BryceVillage Life in Ancient Egypt: file:///Users/michaeldelay/Documents/SCIENCE/books/village-life-in-ancient-egypt-laundry-lists-and-love-songs-new-ed-0199247536-9780199247530_compress.pdfPATREON https://www.patreon.com/c/demystifysciPARADOX LOST PRE-SALE: https://buy.stripe.com/7sY7sKdoN5d29eUdYddEs0bHOMEBREW MUSIC - Check out our new album!Hard Copies (Vinyl): FREE SHIPPING https://demystifysci-shop.fourthwall.com/products/vinyl-lp-secretary-of-nature-everything-is-so-good-hereStreaming:https://secretaryofnature.bandcamp.com/album/everything-is-so-good-herePARADIGM DRIFThttps://demystifysci.com/paradigm-drift-show00:00 Go! Synthesizing Cline and Millek00:06:26 Why This Collapse Still Haunts Us00:10:07 Cities That Ran Without Rulers00:12:24 What the Sea Peoples Story Gets Wrong00:18:05 Empires That Broke Themselves00:24:35 What Rose From the Ashes00:28:25 Records We Can't Read00:38:28 Why People Stay Loyal to Empires00:43:35 When Belief Runs Out00:51:17 Wars That Lost Their Meaning00:59:22 What Survives When Government Doesn't01:08:34 Who Gets the Wealth After Collapse01:15:24 Was Empire Ever Necessary01:22:11 What Can and Can't Be Rebuilt01:36:43 Repair It or Let It Burn#bronzeage #ancienthistory #bronzeagecollapse #seapeoples #archaeology #ancientcivilizations #history #minoans #hittites #collapse MERCH: Rock some DemystifySci gear : https://demystifysci-shop.fourthwall.com/AMAZON: Do your shopping through this link: https://amzn.to/3YyoT98DONATE: https://bit.ly/3wkPqaDSUBSTACK: https://substack.com/@UCqV4_7i9h1_V7hY48eZZSLw@demystifysci RSS: https://anchor.fm/s/2be66934/podcast/rssMAILING LIST: https://bit.ly/3v3kz2S SOCIAL: - Discord: https://discord.gg/MJzKT8CQub- Facebook: https://www.facebook.com/groups/DemystifySci- Instagram: https://www.instagram.com/DemystifySci/- Twitter: https://twitter.com/DemystifySciMUSIC: -Shilo Delay: https://g.co/kgs/oty671

In early 2023, Keith Peiris's AI-powered presentation startup Tome was growing quickly. It had become the fastest productivity tool to reach 1 million users, Forbes reported at the time, a number that eventually climbed to 25 million. He raised $80 million from top Silicon Valley investors like Lightspeed Venture Partners, Coatue, Greylock and billionaire Reid Hoffman. But by late 2024, Peiris realized he was building the wrong company.  It turned out that most people didn't want to pay for its tools, which generated beautiful slides within minutes. Tome's users, mainly students and small business owners, were largely on free plans or paying $10 monthly subscriptions—not nearly enough to sustain the business. And the startup couldn't quite crack the market for professionals like marketers and salespeople because it wasn't connected to their data and did not have the context needed to make good presentations. Users were still growing, but the company's annual revenue plateaued at around just $3 million.  “Being frank about Tome, our technology thesis and our cultural thesis was very immature,” Peiris admits now. By Rashi Shrivastava, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices

Hosts: Ed Jones (Owner – Nutrition World) & Clint Powell A variety of topics all related to living a healthy life Presented by: Nutrition World www.nutritionw.com  Broadcasting from the Nooga Dentistry Studio www.noogadentistry.com Production of: Whitfield Media Group www.vitalhealthradio.com Title: Oral Peptides for Appetite & Weight Loss, What Your Phase Angle Means for Your Cellular Health [0:00:00] Intro, Events Tease of the episode's themes: Segment 2: peptides and weight loss. Segment 3: phase angle and cellular health. Lung Coach event at Nutrition World – August 22 Mobile screening for early lung cancer detection. Emphasis that stage 1–2 lung cancer is often curable, stage 4 is not. Calcium score used to estimate plaque burden in arteries. Ed notes ~12 reasons for plaque formation, while most physicians focus on ~3. Mentions Dr. Kurt Dearing's book “Beyond Cholesterol”, covering broader causes of plaque. Financial health talk – August 22 (~11 AM) Michael E, financial planner, giving a free lecture on financial stability. Ed's point: two major life disruptors are declining health and declining finances, and they influence each other. Health Fair – October 24 Described as possibly the biggest health fair in the region. Features reps, free samples, circus‑like but “happy” atmosphere. [0:04:10] Restaurant Talk Light banter about Ed being a restaurant connoisseur and creature of habit. Restaurant recommendations via Ed's employee Fallon: Second Amendment / Second American (downtown). Hello Monty (special but reasonably priced menu). Ed's oxalate/joint pain story: Eating Purely Elizabeth cereal (high in oxalates: chia and other ingredients) triggered severe return of joint pain Discussion that some “healthy” foods can be nutritious but not healthy for everyone, especially for those sensitive to oxalates. Ed references his free oxalate ebook at theholisticnavigator.com and believes oxalates contributed to: His double hip replacement. Feeling old from age 50–65. Mentions OxyGuard supplement (recently restocked) and using 4 capsules/day to help clear excess oxalates (not as a license to keep eating high‑oxalate foods). Quick shout‑out to local farmers from Virginia End Farm selling at Nutrition World on Wednesdays (12–4), and that they've listened to every show. [0:8:55] Tease: Phase Angle & Seca Machine Ed previews Dr. Kurt Dearing's later segment on phase angle: A single number reflecting resilience and proximity to optimal health.. Mention of Be Well Labs / BeginwithLabs.com – Body Blueprint: Advanced lab panel: 50+ predictive health indicators. Pitch: more than a standard physical, actionable results. Price example: $275 vs typical $500, highlighting savings. [0:13:35] Segment Intro: Peptides & Weight Loss Framing: Peptides as one of the hottest trends in 47 years of Ed's experience. Shift from grey‑market injectables to safe, effective oral peptide powders. Ed has seen impressive feedback on an oral peptide powder for weight loss in early customers. [0:13:47] What Are Peptides? Protein basics: Proteins are long chains of amino acids essential for structure, function, and regulation. Peptide defined: A shorter chain of amino acids broken off from a larger protein. Lego analogy: Individual Legos = amino acids. Tall tower of Legos = full protein. Kid knocks tower over; a small intact stack (~8 Legos) that falls off = peptide. Each peptide has a “fingerprint” determined by: Length (how many amino acids/Legos). Sequence (order: e.g., red–red–blue–blue vs red–blue–red–blue). Processing (how it was broken off or created). Clarified: peptides are not primarily for fixing protein deficiency, but more for targeted signaling effects in the body. [0:20:52] Yeast‑Derived Oral Peptide for Metabolism & Drug Comparisons Endogenous peptides: made naturally inside the body. Exogenous peptides: introduced from outside (drug injections, supplements). Ozempic / GLP‑1 drugs: Yes, Ozempic is a peptide. These drugs are lab‑made peptides made to mimic natural body peptides. Peptides are not synthetic drugs in concept; they are peptide structures the body uses, though drugs are engineered. Focus on Ancient Nutrition “Active Peptide for Metabolism”: Contains a yeast peptide derived from Saccharomyces cerevisiae (brewer's yeast), broken from a larger yeast protein. Mechanism & effects: Influences hunger and satiety signaling: Increases leptin (satiety hormone). Decreases ghrelin (hunger hormone). Reported benefits: Reduced hunger and cravings (including boredom eating). Weight loss primarily from fat mass, not muscle mass. Comparison with GLP‑1 injections (semaglutide, etc.): Injections often cause muscle loss (e.g., “Ozempic face,” loss of facial muscle/fat). Yeast peptide research shows fat‑centric weight loss. Clinical results quoted: After 2 months, average daily caloric intake decreased by ~600 calories. Leads to meaningful weight loss, depending on baseline intake and muscle mass. [0:24:25] Dosing, Timing, Stacking & Safety Considerations How to take it: Once daily, typically in the morning to curb cravings throughout the day. Users report: easier recognition of fullness during meals. Stacking with cortisol peptide product: Ancient Nutrition also has a cortisol‑active peptide capsule for stress support. Same amount of yeast peptide per serving; research supports doubling the yeast peptide dose, so: You can use the metabolism powder + cortisol peptide together. Stress, cortisol, and weight: Chronic stress and high cortisol promote fat gain. Stacking stress support + appetite control may help body composition. Onset of effect: Reagan reports she personally noticed benefits around 2 weeks (quicker than many supplements that take 60–90 days). Cost & practicality: Approx cost around $50 for 30 days. Positioned as a cost‑effective alternative or complement to expensive injections. Side effects vs injectables: Reagan's hospital experience with GLP‑1 side effects (e.g., gastroparesis, impaired gastric motility, some requiring tube feeds or IV nutrition). Oral yeast peptide described as gentler, working with natural processes, not “forcing” the system. [0:30:09] Yeast Source, Candida Concerns & Usage Notes Yeast strain: Saccharomyces cerevisiae (not S. boulardii, and not pathogenic/candida). Clarifications: Will not cause yeast infections. Will not feed candida overgrowth. Taste & preparation: Chocolate flavor described as surprisingly good, even for those picky about chocolate. Temperature-sensitive: Must be mixed with cool liquid (NOT hot coffee/tea or hot beverages). Leaving it in high heat (e.g., hot car) can degrade activity. [0:36:03] Segment Intro: Phase Angle & Seca Scan with Dr. Kurt Dearing Discussion of: Seca medical‑grade bioelectrical impedance analysis (BIA) machine (~$12,000). It's commonly in hospitals/clinics, but rarely publicly accessible; Nutrition World and Be Well Labs both have one. Dr. Dearing's consult package: Includes consult + Seca scan + follow‑up visit + follow‑up Seca scan (~$195, promo if listeners mention the show). [0:37:35] What Is Phase Angle? (Deep Dive into Measurement & Meaning) What the Seca scan measures: Total body fat and visceral fat. Muscle mass (overall and by body segment). Phase angle (key focus). Phase angle basics: BIA sends low‑level alternating electrical currents through the body. The phase shift (time/angle difference) between current and voltage is measured. That phase shift = phase angle. Higher phase angle → healthier cell membranes, better cellular integrity, more muscle mass, better hydration. Lower phase angle → often malnutrition, chronic disease, frailty; can be used in dialysis, cancer patients, etc., to predict outcomes. Used as a longevity biomarker: Akin to an “EKG of your cells”. Can function as an early indicator for overall health trajectory, barring accidents Dr. Dearing's personal story: First scan categorized him as “bronze” on Seca's scale: Levels: None → Bronze → Silver → Gold → Platinum. Motivated him to increase strength training and eating healthy. Subsequent scan: improved from bronze → gold. Ed's anecdote: Friend and gym member Fred now tests as platinum, after sustained gym and nutrition efforts. Phase angle as a guide: If results are poor, that's a signal to upgrade the plan (diet, exercise, supplements). If phase angle improves (e.g., 4 → 5), it proves the plan is working, beyond just “feeling” better. [0:43:47] How to Improve Phase Angle (Practical Protocols) Key drivers and interventions: 1. Strength Training & Exercise Primary recommendation: resistance/strength training to build muscle mass. 2. Adequate Protein Ed's guideline: ~1 gram of protein per pound of body weight (men; women can often target ~¾ g per pound). Protein shakes often needed to hit targets. 3. Hydration & Electrolytes Proper cellular hydration improves phase angle. Maintain consistent fluid intake and electrolyte balance (sodium, potassium, magnesium). Avoid excessive diuretics/water pills. Dehydration causes phase angle to drop sharply. 4. Inflammation Control Systemic inflammation lowers phase angle and contributes to chronic disease. Tools: Anti‑inflammatory diet (Mediterranean‑style, high in omega‑3s). Omega‑3 fatty acids. Curcumin. Vitamin D optimization. Also includes sleep quality and stress management. 5. Foundational “Core Four” Supplements (Nutrition World concept) Covering: magnesium, zinc, vitamin D, B vitamins, etc., as baseline. 6. Targeted Add‑ons Creatine (supports muscle and cell energy). HMB (beta‑hydroxy beta‑methylbutyrate) – often paired with creatine. CoQ10 (mitochondrial and cellular energy). Phosphatidylcholine / BodyBio PC – to improve cell membrane integrity. [0:52:45] Closing Reflections Ed reads and comments on an article by Dr. Sircus about: Many doctors being “misaligned”: intellectually capable but no longer listening. Critique of: Over‑reliance on credentials. Under‑reliance on open‑mindedness and corrections. Emphasis that many clinicians are excellent listeners and deeply caring, but that institutional habits can discourage listening.  The post Radio Show / Podcast – July 26, 2026 first appeared on Vital Health Radio.

The fake news media and the uniparty puppets thought they could bury the truth, but we aren't letting them off the hook. This month, we tore down their propaganda machine—exposing the corrupt courts, the explosive developments in the Charlie Kirk investigation and Tyler Robinson trial, the endless military-industrial complex spending through the NDAA, and the treasonous globalist agenda destroying our nation from within. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Dementia is a metabolic disease, not a genetic one. Here's what's really destroying your brain, and how to prevent and possibly even reverse it. Dr. Anthony Chaffee MD.  

Navigational Keywords - Business Strategies for Websites (Best Practices)The conversation focused on the critical role of navigational keywords in business website strategies and best practices for SEO. Several points were raised, including the distinction between informational and navigational keywords, the practical implications for website structure, and how search engines and users interact with these elements.Key Themes & ConceptsWhat Are Navigational Keywords?One concept discussed was the definition of navigational keywords: these are brand-specific queries used to find specific web pages or destinations within a website, such as "Brand + login," "Brand + pricing," or "Brand + contact." Navigational keywords contrast with informational keywords, which are broad and unbranded, like "best restaurant near me" or "how to tie a tie" 09:06.Why Are Navigational Keywords Important?A key theme that emerged was the way navigational keywords indicate high search intent. Users searching with these terms already know the brand and are seeking specific information or functionality—like product pages, contact details, or policy documents 10:15.How to Implement Best PracticesThe discussion explored actionable best practices for leveraging navigational keywords on business websites:Dedicated Pages: Businesses should create clear, dedicated pages for key navigational actions—such as /contact, /about, /pricing, /reviews, /careers—so that search engines have specific, easily indexed URLs to display in search results 14:03.URL Structure & Keyword Density: URLs should reflect the navigational query and use clear, hyphenated keywords to make it easier for algorithms and users to understand (e.g., yourwebsite.com/privacy-policy). Hyphens are treated as word separators by search engines 15:12.Sitemaps & Technical SEO: XML sitemaps act as a roadmap for algorithms to crawl a website efficiently. Keeping both HTML (what users see) and XML (what bots crawl) structures organized is vital 26:31.Regular Updates: Pages should be maintained and regularly updated. The two critical dates for each page are the date published and the date last modified—these inform algorithms the content is current and relevant, improving SEO performance 45:04.Importance of Brand & Action PairingsThe conversation emphasized that effective navigational keywords pair the brand with a specific action or destination (e.g., "Sephora privacy policy," "Amazon shipping"), which allows businesses to "own" those key queries and drive high-intent traffic 12:24.Measuring & Managing SEOThe discussion also touched on website management:The number of well-structured, dedicated pages can impact investment and SEO value 18:03.Regular auditing and technical optimization of all primary and secondary web properties ensures consistency, compliance, and discoverability 22:41.Understanding audience awareness stages (unaware, problem aware, solution aware, product aware, most aware) helps align SEO content and navigational structure with user intent 35:12.TakeawaysNavigational keywords are essential for brand recognition and conversion, providing shortcuts for users seeking specific brand information.Businesses should invest in user-focused, clearly named, and regularly maintained navigational pages to capture high-intent searches 43:06.Effective technical SEO, including XML sitemaps and proper URL structures, boosts a website's usefulness to both users and search engines.By adopting these best practices, businesses ensure their websites are easily navigable for users and highly visible to search engines, setting the stage for better awareness, engagement, and growth.Who Is This For?The conversation focused on business owners, entrepreneurs, creators, and anyone looking to optimize their website's visibility and effectiveness, particularly through the strategic use of navigational keywords.It is especially relevant for those responsible for maintaining or improving the web presence of a brand, including solopreneurs and those with multiple or complex sites seeking clarity on SEO best practices and site structure (00:01:45, 00:21:48, 00:39:24).Key Moments & SEO Summary with TimestampsIntroduction to Navigational Keywords & Series Context: Outlining the focus on keywords for website business strategies (00:00:10).Website as a Core Asset: Emphasizing the necessity of a website as a brand hub for discovery and operations (00:03:00).Value of Quick Links and Site Accessibility: How having links to websites, calendars, and resources streamlines connections at events (00:04:02).Technological Tools for Networking: RFID/NFC and QR codes as ways to share multifaceted digital presences instantly (00:05:27, 00:07:00).Defining Navigational Keywords: Explained as brand-specific, high-intent search queries driving direct access to internal pages (e.g. “Brand + Contact,” “Brand + Login”) (00:08:39-00:12:24).Site Structure & Essential Pages: Importance of clear, dedicated URLs for contact, about, pricing, policies, reviews, etc. for both users and search engines (00:14:03, 00:16:17).Keyword Density, URL Structure, and Modifiers: The technical aspects affecting SEO on navigational and branded queries (00:13:33).Role of Sitemaps and Algorithm Interaction: Front- and back-end elements (HTML/XML) and the importance of current, updated content (00:26:31, 00:28:12).Awareness Stages: Moving from “unaware” to “most aware” for web users and the importance of matching their journey (00:34:42-00:36:46).Regular Updates and Maintenance: The necessity of revisiting and updating site pages to keep them “alive” in the algorithm (00:44:46, 00:45:50).Summary and Call to Action: Clarity, connection, and proactive site management—with encouragement to take the next steps (00:47:12, 00:48:28).FAQs1. What are navigational keywords and why do they matter?Navigational keywords are search queries aimed at finding specific branded pages (e.g. “Brand + Contact”). They guide users directly to the information or action they seek, playing a key role in brand visibility and customer experience (00:08:39, 00:10:15).2. What essential pages should every business website have?Contact, About, Pricing, Privacy Policy, Reviews, Careers, Locations, Return Policy, and Service pages—all clearly labeled with descriptive, hyphenated URLs (00:16:08).3. How often should I update my website pages?Regular updates signal activity and relevance to both users and algorithms. Important dates include “published” and “modified,” which should reflect recent engagement (00:45:04).4. How can I connect multiple websites or domains effectively?Centralize branding, ensure consistent linking, and consolidate scattered domains when possible so search engines understand their relationship and users can easily navigate between them (00:21:57).5. What's the role of awareness stages in website strategy?Your content and site structure should serve users at different familiarity levels—from “unaware” to “most aware”—with easy access to relevant information at every stage (00:35:12).Action Steps from Favour Obasi-ikeAudit All Active Website Pages:Ensure every required page exists, is linked clearly, and contains current information (00:16:17).Check and Update URLs:Use descriptive, hyphenated slugs for internal navigation—e.g., /about-us, /contact, /pricing (00:15:12).Establish an Update Routine:Schedule regular reviews to update modified dates—especially for high-traffic or business critical pages (00:44:46).Centralize Links Across Platforms:Use tools (link aggregators, NFC cards, QR codes) for seamless access from all touchpoints (00:05:52, 00:07:00).Monitor User Awareness:Identify which stage (unaware, problem aware, solution aware, product aware, most aware) your visitors occupy and tailor CTAs and navigation accordingly (00:35:12).Encourage Feedback and Continuous Learning:Collect responses (like the “put a 1 in the chat”) to gauge clarity and adjust future content and site structures (00:46:10).Ready to Rank? Book Your SEO & Web Dev Services Today

The occupied United States Government, made up of actors willing to read their lines from the Zionist script are overtly merging the US Military, intel, weapons and secrets with "Israel", the FAKE, terrorist "nation state" in the Middle East. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Happy Friday everyone!Joey is finally back in studio this week for a very special guest from the golden age of sitcoms!David Faustino, ‘Bud Bundy' from “Married With Children” joins Da Pod for a raucous reminiscence of the glory days!Lots to talk about because the guys have been in the business for 40 years and they've seen it all! From ‘Set School' to colonoscopies, and everything in between. It just feels like getting the band back together!He's had a long career in Hollywood, but did you know he's also a DJ and rapper? He also has a great new community where fans of “Married With Children” get together on Zoom and discuss episodes! It's like a book club but it's the Bundy Club! Check it out!The guys can't help but make each other laugh this week, and you're gonna too!Happy Friday and we'll see you next week!Support our pod with our official merch!https://bropodmerch.bigcartel.com

In today's Cloud Wars Minute, I explain how Salesforce's latest MCP announcement advances Marc Benioff's vision for AI-first enterprise collaboration. Highlights 00:03 — Salesforce has announced the introduction of new MCP servers that connect Slack to Salesforce CRM, Tableau, Data 360, and third-party AI tools. Now, these new servers have enhanced Slackbot, which is Slack's personal AI agent, enabling it to serve as a conversational interface for tasks across the Salesforce ecosystem. 00:29 — The headline for the press release about this announcement really summarizes it very well: "Slackbot can now do anything Salesforce can — just ask." Salesforce users can now view and update Salesforce records, run automations, access custom data without leaving Slack, and just using natural language. Users can query Tableau dashboards and analytics. 00:55 — Data 360 integration now enables Slackbot to access customer data for better responses and context-aware responses. Slackbot can now orchestrate work across multiple AI agents and enterprise apps, including partners like Anthropic, Atlassian, DocuSign, and Zapier. And the whole thing can be centrally managed by admins with built-in authentication and security. 01:22 — These Salesforce-hosted MCP servers are now generally available for all Enterprise Edition organizations and above. So what's the vision here? Well, Kris Billmaier, EVP and GM of Sales Cloud, explained, "Salesforce Sales Cloud in Slack is the future of how revenue teams work," he said. 01:55 — "AI is changing what it means to sell, and putting Salesforce intelligence and data inside Slack, where sellers already live, means teams stop chasing context and start driving growth. That shift is happening now, and we're right at the center of it." Ultimately, Salesforce is now positioning Slack as the primary workspace for AI-powered collaboration. Visit Cloud Wars for more.

Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

You've eaten red meat your whole life, so why does a steak dinner suddenly leave you covered in hives at 1 AM? A single Lone Star tick bite can rewire your immune system into a delayed allergy to red meat, and most people (and even their doctors) never connect the two.In this solo episode, Dr. Gabrielle Lyon discusses:Why alpha-gal reactions are delayed 2–6 hours after eating meat, and how that delay causes ER visits to be repeatedly misdiagnosedHow your blood type changes your risk (type A and O are higher-risk; type B appears protected) and why a mismatched transfusion has proven fatalThe simple alpha-gal IgE blood test to ask for, and what the numbers meanThe hidden sources beyond food: gelatin, vaccines, heparin, thyroid meds, and even heart valvesThe tiered treatment approach that resolves symptoms in about 80% of patients on meat-avoidance aloneLearn to recognize a condition that's increasingly common yet widely missed, so if it's happening to you, you'll know exactly what to test for and how to get your life back. It's not all in your head.Thank you to our sponsors:Cozy Earth - Go to https://bit.ly/3RLZNEv for up to 20% off!Timeline - Get 20% off your Mitopure order at https://bit.ly/4ptIchfSquare - Get up to $200 off Square hardware when you sign up at https://bit.ly/4gOCfZP #squarepodExplore More from Dr. Gabrielle LyonWeekly newsletter: Recipes, podcast updates, and practical weekly insights https://drgabriellelyon.com/sign-up/Apply to become a patient: Personalized care with Dr. Lyon's clinical team https://drgabriellelyon.com/new-patient-inquiry/Connect with Dr. Gabrielle Lyon:Instagram: https://www.instagram.com/drgabriellelyon/TikTok: https://www.tiktok.com/@drgabriellelyonX (Twitter): https://x.com/drgabriellelyonFacebook: https://www.facebook.com/doctorgabriellelyonChapters00:00 - Introduction00:38 - How to spot the Lone Star tick02:15 - Why this tick hunts you03:40 - Where the tick is spreading now05:10 - Diseases the Lone Star tick carries06:30 - What alpha-gal syndrome is08:45 - Why the reaction is delayed 2 to 6 hours10:20 - Cofactors that make reactions worse12:05 - Blood type and your risk level14:30 - The transfusion danger nobody screens for16:15 - The blood test and what the numbers mean19:40 - Foods and hidden sources to avoid23:10 - The three-tier treatment approach27:00 - Hidden alpha-gal in meds, vaccines, and implants31:20 - Preventing tick bites and getting testedIf you found this episode valuable, share it with someone who would benefit from it.Disclaimers: This episode includes paid sponsorships.The Dr. Gabrielle Lyon Podcast and YouTube are for general information purposes only and do not constitute the practice of medicine, nursing, or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast, YouTube, or materials linked from this podcast or YouTube is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professional for any such conditions.

Alf Dobbert-Baums: Success Is When the Team Gets Closer to the User Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "Getting closer to the user — it's always very good to get the feedback from the user." - Alf Dobbert-Baums   For Alf, success as a Scrum Master is measurable in proximity: how close did you get the team to the actual user? He tells a small story that makes the point bigger than it sounds. In a sprint review, a user mentioned an annoying detail — clicking an item in a long list opened a popup, and when you closed the popup, the focus jumped back to the top of the list. Four hours later, the team had fixed it. A small JavaScript change saved a whole customer-center team from scrolling back to find their place dozens of times a day. The shift Alf coaches is treating the review as a working meeting, not a demo. Users don't clap and leave — they discover. They surface the thing the PO doesn't see, because the PO has perspective and the user has the actual workflow (often with three other apps open at the same time). Alf credits a usability test he once ran for opening his eyes: "Why are you clicking there? Nope, she wouldn't click on there." When the developer sees a real person use the software, the product changes. The guessing stops.   In this segment, we refer to Shift: From Product to People by Michael Dougherty and Pete Oliver-Kruger and their Usability Theater technique — getting users to use the product while the team watches, the way you'd watch a play.   Self-reflection Question: When did your team last watch a real user use the product — and if it's been a while, what's stopping you from inviting one to your next review? Featured Retrospective Format for the Week: The Classic Four — Prime Directive + Good / Learned / Change / Puzzles Alf's favorite retro is one of the very first. Open with the Prime Directive, then walk the team through four questions: what was good, what did we learn, what should we change, and what still puzzles us. Alf likes it because it celebrates successes, shares knowledge, and — through the "puzzles" question — gives space for the unresolved things people carry in their heads. But he wants to stress one thing most teams skip: revisit the agreed improvements in the next retro. Did you do them? Are they still relevant? Did the world change? Even improvements that didn't work give you information — about who to involve next time, what was missing, what was too much. Without revisiting, every retro starts from scratch.   [The Scrum Master Toolbox Podcast Recommends]

LIVE BROADCAST: Iran War, Charlie Kirk, Rick Cutler, the SUV, the dirt from UVU Your Calls tonight! 507-698-STEW (7839) Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

In this episode, Kat Cosgrove (SIG Docs Technical Lead, SIG Release Subproject Lead, and Steering Committee member) and Natali Vlatko (SIG Docs Co-Chair, Steering Committee member for the TODO Group, and Open Source Architect at Cisco) join hosts Kaslin Fields and Abdel Sghiouar to discuss the newly published Kubernetes AI usage policy. We dive into the legal and administrative reasoning behind the policy—including why AI tools cannot legally sign the Contributor License Agreement (CLA) or co-author PRs—and explore how maintainers manage the influx of "AI slop" PRs, spam comments, and restricted AI note-taker bots in community meetings. The discussion highlights the balance between human accountability and AI as an enhancer, while sharing actionable advice on how new contributors can sustainably get involved with SIG Docs, issue wrangling, and the Kubernetes Release Team. Do you have something cool to share? Some questions? Let us know: web: kubernetespodcast.com mail: kubernetespodcast@google.com twitter: @kubernetespod bluesky: @kubernetespodcast.com News of the week Apple Native Container Tool for macOS 1.0: Apple has shipped version 1.0 of its native container tool for macOS. Built in Swift specifically for Apple Silicon, it departs from traditional shared-VM setups like Docker Desktop by isolating every single Linux container inside its own dedicated micro-VM using the native macOS Virtualization framework. Read more on Cloud Native Now. Google OpenRL: Google launched OpenRL, a new open-source project designed to streamline the training and reinforcement learning loops of large language models. The tool brings declarative, Kubernetes-style resource orchestration concepts to the messy process of AI model fine-tuning. Read more on Cloud Native Now. CNCF Welcomes New Members: At KubeCon CloudNativeCon India, the CNCF announced they added 14 new members, end Users, and non-profit organizations, highlighting the continued growth of the Cloud Native Ecosystem. One of the new members is Loveable, who was a recent guest on the show. We highly recommend you go listen to Episode 268 about the Agent Sandbox. Read the full announcement on PR Newswire. Is a Pod the Right Deployment Unit for an AI Agent?: Lin Sun from Solo published a community post on the CNCF blog questioning whether the classic Kubernetes Pod primitive is still the best abstraction for hosting autonomous, long-running AI agents and introducing Agent-substrate, a project attempting to bring a solution to the table. Read more on the CNCF Blog. Links from the interview Kubernetes AI Usage Policy – Read the community's official guidelines and rules for AI-assisted contributions. TODO Group Steering Committee – A Linux Foundation project bringing OSPO professionals and enthusiasts together. Contributor License Agreement (CLA) – Standard agreement required for all human contributors, which AI agents cannot legally sign. Kubernetes SIG Docs – Get involved with the documentation community. SIG Docs Style Guide – Learn the style guidelines for contributing to Kubernetes docs. Kubernetes SIG Release – Details on how to get involved with the release cycle. Links from the post-interview chat Linus Torvalds on AI LinkedIn Post – Torvalds' clarification on using AI as a helper tool rather than writing kernel C++ code. Devoxx– A popular developer conference in Europe Prowbot GitHub Repo – Kubernetes' main CI/CD bot handling PR automation.

Today reporters John Ingold and Michael Booth talk about whether Denver water users are cutting back enough, as well as a contempt of court allegation against Children's Hospital Colorado. https://coloradosun.com/2026/07/20/denver-water-drought-shortage-consumers-not-saving/ https://coloradosun.com/2026/07/20/childrens-hospital-colorado-contempt-gender-affirming-care/ https://coloradosun.com/2026/07/21/2-large-hospital-systems-partner-up-in-colorado/ See omnystudio.com/listener for privacy information.

Stew Peters LIVE CALL-IN SHOW: Call NOW 507-698-STEW to discuss war with Iran, China/Cuba scripted narrative, Charlie Kirk's murder and the occupation force behind all of it. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Everyone celebrates the weight GLP-1s take off, almost no one warns you about the volume they quietly pull out of your face and the loose skin you can't train away. The fix depends entirely on the diagnosis, and knowing which category your concern falls into is what saves you time, money, and regret.In this episode, Dr. Gabrielle Lyon sits down with Dr. Kristy Hamilton, a board-certified plastic surgeon, to discuss:Why rapid GLP-1 weight loss deflates facial volume and creates loose skin and why the leaner and more muscular you get, the more visible that laxity becomesThe muscle-sparing breast augmentation (Preserve) that gets active women back to full training in about a week, and why placing an implant in front of the muscle protects your strengthWhich skin-tightening treatments reset structure (like internal radiofrequency) versus the surface treatments and "expensive coat rack" machines that won't touch real laxityThe real NIH data on breast implant illness and why you don't need a $30,000 detox or to have healthy tissue cut out to get reliefBy the end, you'll know what rapid weight loss really does to your skin, which procedures match which problem, and how to avoid wasting money on fixes that were never going to work for your specific situation.Thank you to our sponsors:Cozy Earth - Go to https://bit.ly/3RLZNEv for up to 20% off!Timeline - Get 20% off your Mitopure order at https://bit.ly/4ptIchfSquare - Get up to $200 off Square hardware when you sign up at https://bit.ly/4gOCfZP #squarepodExplore More from Dr. Gabrielle LyonPremium Podcast Subscription: Ad-free episodes, key takeaway summaries, exclusive Q&A, and behind-the-scenes content https://foreverstrong.supercast.comWeekly newsletter: Recipes, podcast updates, and practical weekly insights https://drgabriellelyon.com/sign-up/Apply to become a patient: Personalized care with Dr. Lyon's clinical team https://drgabriellelyon.com/new-patient-inquiry/Find Dr. Kristy Hamilton at:Website: https://www.drkristyhamilton.com/Instagram: https://www.instagram.com/drkristyhamilton/Facebook: https://www.facebook.com/drkristyhamilton/Connect with Dr. Gabrielle Lyon:Instagram: https://www.instagram.com/drgabriellelyon/TikTok: https://www.tiktok.com/@drgabriellelyonX (Twitter): https://x.com/drgabriellelyonFacebook: https://www.facebook.com/doctorgabriellelyonChapters00:00 - Introduction: GLP-1s and the plastic surgery boom01:53 - The dark side: losing facial volume02:40 - Fat transfers and donor-fat products03:10 - Alloclae and the "zombie" fat06:04 - The Miami Thong Lift explained11:15 - Thong lift vs. BBL recovery13:05 - Pec muscle-sparing breast augmentation15:30 - Behind vs. in front of the muscle20:43 - Silicone vs. saline implants21:39 - Breast implant illness and the NIH data24:16 - Predatory explants and the $30K program31:33 - Implant size and the ballerina breast37:00 - Non-surgical tightening with Quantum RF41:00 - Are you a candidate? The pinch test46:43 - Why surface treatments miss the structure1:00:12 - Collagen banking for aging skin1:03:01 - A new non-opioid pain drug1:15:24 - Why fit women still fight loose skinIf you found this episode valuable, share it with someone who would benefit from it.Disclaimers: This episode includes paid sponsorships.The Dr. Gabrielle Lyon Podcast and YouTube are for general information purposes only and do not constitute the practice of medicine, nursing, or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast, YouTube, or materials linked from this podcast or YouTube is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professional for any such conditions.