Podcasts about Bing

Google and Microsoft Bing have been sharing more details about how AI-powered search works, and the advice may surprise you. Despite all the hype around AI, the fundamentals of strong local SEO still matter.In this episode, you'll learn what Google and Bing are saying about AI search, how Google Business Profiles, websites, reviews, social media, and authority-building influence visibility, and what clinics should focus on right now to improve rankings in Google Search, Google Maps, ChatGPT, Perplexity, and other AI-powered platforms.If you're wondering how AI is changing SEO for chiropractors, physical therapists, acupuncturists, med spas, and other healthcare businesses, this episode will help you separate fact from fiction and focus on the strategies that are actually moving the needle.Episode webpage: https://propelyourcompany.com/how-ai-search-works-for-clinics/Send in your questions. ❤ We'd love to hear from you!Webinar: The Hidden SEO Mistakes Costing Clinics Patients Right Now (And Easy Fixes You Can Start Making This Week)Save your spot: https://propelyourcompany.com/june/** Can't make it live? Register anyway. You'll get access to the limited-time replay. *** 

Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit

Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit

Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit

Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit

Comedy on a Saturday First, a look at the events of the day.Then, The Chase and Sanborn Hour with Don Ameche, originally broadcast May 23, 1937, 89 years ago.  Charlie McCarthy has a 102-degree fever. Dorothy Lamour sings, "Let's Call The Whole Thing Off." Mary Boland appears in a scene from "Cradle Snatchers." W. C. Fields recalls his youth in a stranger's cellar. He refers to Charlie as "A piece of grade B lumber" and threatens to "Saw his arm off."Followed by The Fred Allen Show, originally broadcast May 23, 1948, 78 years ago, Bing's Life Story.  Fred, Bing Crosby, and an unidentified third voice do a fine version of "Bye, Bye, Blues."  Fred does the opening monologue with Kenny Delmar. Then, The Harold Peary Show, originally broadcast May 23, 1951, 75 years ago, Marvin is invited to a party. Harold and Florabelle are going canoeing on the lake. A little girl invites Marvin to a party. Finally, Lum and Abner, originally broadcast May 23, 1935, 91 years ago, The Story of King Midas.  The sales of the hogs have brought $2300 to Lum and Abner, which leads to the telling of the story of King Midas.  Thanks to Debbie B. for supporting our podcast by using the Buy Me a Coffee function at http://classicradio.streamCheck out Professor Bees Digestive Aid at profbees.com and use my promo code WYATT to save 10% when you order! If you like what we do here, visit our friend Jay at http://radio.macinmind.com for great old-time radio shows 24 hours a day

Send us Fan MailIn this special episode of AI and the Future of Work, we are bringing you an exclusive conversation recorded live on the show floor at the HumanX 2026 event. This full interview kicks off a special three-part series, with the upcoming two episodes releasing in a compilation format. To start things off, we are sharing our uncut conversation with the man who made this entire gathering possible.Stefan Weitz is the Co-founder and CEO of HumanX, an organization and premier event dedicated to cutting through the AI hype to find practical, world-changing applications. He joined Microsoft in 1996, working alongside leaders like Bill Gates and Steve Ballmer on iconic product launches and foundational tech like Bing and Windows.In this live episode, Stefan draws on his extensive product development background to explain why our survival in the AI era depends on treating technology as an evolving tool and why the most powerful thing a leader can say today is "I do not know".In this conversation, we discuss: Why relying on focus groups and lean product development is the wrong approach for building breakthrough AI hardware and software.The reason established tech giants risk losing the AI race if they rely solely on distribution over building superior products.How AI differs fundamentally from all previous human tools and why its ability to learn creates unprecedented exponential growth.Why the speed of current technological adaptation threatens to outpace our natural ability to transition roles and find new purpose.The danger of anthropomorphizing artificial intelligence and why framing it as human creates unnecessary fear and resistance.How saying "I do not know" has become the most powerful leadership tool in a non-deterministic technology landscape.Resources:Connect with Stefan on LinkedIn

Fun facts about music icons Bing Crosby and Glen Campbell. 

The headlines say search is dying because of AI. The reality is more layered. Google still sends far more referral traffic to local businesses than every AI platform combined, and Google itself is rapidly turning into AI search through AI Overviews and AI Mode. In this episode of Get Digital Marketing Results, Donna Botti and Bob Clark cover what these shifts mean for local visibility, why your Google Business Profile is now an AI source, and the small updates that matter most right now. The core insight: AI tools are citing Google Business Profiles inside their answers. When your hours, services, photos, or reviews are out of date, you're not just losing map visibility. You're losing visibility inside AI search results too. You'll learn: ✅ Why Google search isn't disappearing, it's becoming AI search ✅ How your Google Business Profile is now an AI signal, not just a map listing ✅ Why your service pages need to be clear enough for both people and AI tools ✅ Why Bing Places matters again because of ChatGPT ✅ Three things to update on your business this week Key takeaways: AI tools cite Google Business Profiles. Outdated information costs you visibility in places you can't see. Google search is becoming AI search. AI Overviews and AI Mode change how results appear, but accurate information still drives who shows up. Bing visibility influences ChatGPT. If your Bing Places listing is missing or stale, take a few minutes to fix it. For show notes and more resources, visit www.delosinc.com/episode447. Subscribe for more actionable digital marketing tips for local and regional service businesses.

Welcome to Episode 160 of Praestabilis: Excellence in Marketing Welcome to Episode #161 of “Praestabilis: Excellence in Marketing” In this episode, I’m talking about “What’s Working Today in the Online Space. I’ll share the three most profitable business models for new and seasoned online entrepreneurs, and also a short training I’ve created around the topic of affiliate marketing. I am sharing a live session of my “Really Simple Authority Blogging” ongoing training course with you and know you will benefit from the marketing strategies I am sharing and teaching here. Be sure to connect with me at https://ConnieRagenGreen.com or on X at https://x.com/ConnieGreen so I may serve you in the areas where my help could make a huge difference in your results. I’m going to share with you how much fun I’m having with creating simple courses using AI (Artificial Intelligence) in about 30 minutes. I know you can do the same thing. Keep it simple, and add the short course you create to a page on your existing website/blog. In this episode I’m discussing how to use keywords and search engine optimization (SEO) to grow your business. Your prospects and future clients, customers, and colleagues are waiting to connect with you, but if they can’t find you online it will never happen. Make it simple for your target audience to find you by using the keywords and phrases they are most likely to be searching for on Google, Bing, and the other search engines. The Power and Gift of Change”- We are all changing throughout each day, and I think we must embrace this change in order to grow and move forward. Changing can take many forms, and if you look back through your life you will come to understand that you are not the same person you were even a year ago. Here is a quote about this you may resonate with… “Growth lives outside the comfort zone. If it feels uncomfortable, you’re probably doing it right.” ~ Marie Forleo I believe that our businesses are based on the concept of serving others. When you start on online (or even a brick and mortar) business, your goal is to serve others with what you know and to benefit in multiple ways, including by earning an excellent income. I’m sharing several examples in this podcast about my own and experiences with clients over the years. ~ ~ ~ ~ ~ This morning I was reading the message written by outgoing Surgeon General Dr. Vivek Murthy. In it, he stated that his “parting prescription” for the American people is to cultivate a strong sense of community to help themselves and others. He added, “Relationships, service, and purpose are the time-tested triad of fulfillment that stands in contrast to wealth, fame, and power which define the modern-day triad of success.” Here are some other questions I want you to ask yourself: What is your commitment to yourself and to others close to you? Why are you focused on the things that are taking up your time? When will you begin to focus on goals that will allow you to create and leave a legacy? Whom do you trust to get you there? Perhaps my “Monthly Mentoring Program” is right for you. Motivation and Inspiration: What It Takes to Get Your Spark Back” During 2024 I went through a period where I wasn’t as motivated as I had been accustomed to being for many years. This gave me time to explore why I was feeling this way and to hopefully learn something that would help others. My inspiration to do all of the things I love in my business, including writing, creating, marketing, and mentoring was waning and I wasn’t sure why. Within a couple of months I was back on track and this is what I learned… Life isn’t easy, but then it isn’t supposed to be. Being challenged in so many ways on a regular basis makes us stronger and perhaps more appreciative and grateful for what we already have and what we know we can achieve if we believe in ourselves and have even one other person who knows we are special and tells us that as often as possible. Marie Forleo wrote a book titled “Everything Is Figureoutable” – https://ConnieLoves.me/FigureOutAble – Her precept is that if you’re having trouble solving a problem or reaching a dream, the problem isn’t you. It’s that you haven’t yet installed the one belief that changes everything. I’m at conniegreenhouse at yahoo dot com and want to hear from you on this topic, or on anything else. “Merging Your Life with Your Business” as a strategy. We aren’t creating a business we need a vacation from. Instead, we’re creating a “lifestyle by design” where we have the time and financial freedom to live in a way that few people are able to, and with choices around everything we do. If you’ve met me in person, heard me on my podcast, or read any of my books, you know that I am a very positive person. No matter what situation or circumstances arises, I truly believe there will always be a positive outcome on the horizon, and sooner rather than later. But I wasn’t always this way. This is a journey that continues… My first year online was 2006, and very quickly I connected with people I’m still part of a Mastermind with in Austin, Texas. I was invited to speak at an event there a couple of years later. It was hosted by Joe Vitale and Mendhi Audlin was also there. She shared a concept she had come up with that she calls “What If… UP!” The premise is that there is truly a silver lining in everything negative that occurs. I liken this to Newton’s Third Law of Motion: For every action, there is an equal and opposite reaction. My precept and general rule for life is that we can achieve anything we want and feel that we deserve. Others want to help us to achieve our goals, but many times we get in their way by telling ourselves stories that aren’t true. Mendhi’s precept aligns with mine, and a year or so after I first met her she published a book on this… “What If It All Goes Right?: Creating a New World of Peace, Prosperity & Possibility” by Mendhi Audlin reveals the secret to turning possibilities into a tangible reality. It works! https://ConnieLoves.me/WhatIfUp I’m discussing the importance of being willing to “Better Your Best” during this new year, as well as recommending that this be the year you finally embrace AI – Artificial Intelligence – for your business. I have been a student of and someone who uses AI almost daily since February of 2022, and I’m learning from experts Andy O”Bryan and Denise Wakeman in their ongoing AI Success Club. Asking “How Are You Defining Success?” Creating a business as an entrepreneur allows you to live a lifestyle by design, with both time freedom and financial freedom. Think about how you want to live each day and then take action to make it happen. Over the years I’ve changed many things, while others have remained the same. Instead of making changes just for the sake of change, think about what you could change up and what makes sense to remain at least mostly the same. Years ago, I used to put together my blog posts on a single topic, like copywriting or list building or creation digital products into a simple document that I referred to as a ‘Focus Guide’ and gave them away to my list and to my prospects. Each of these documents contained resources and an ‘About the Author’ page that helped me to build my credibility, visibility, and profitability. For the first time ever, I am recommending that you write a book about yourself, your niche topic, and how you serve others. I first did this in 2009 and now I have written and published twenty-eight full-length, non-fiction books on the topics of entrepreneurship, personal, development, and authorship. Life can be messy. Are their ways you can keep moving forward when your personal life is turning upside down? Yes! Finding joy in helping and serving others, as well as compartmentalizing what is currently going on in your life are just two of the ways to deal with change and situations outside of your control. I recommend that you choose two social media platforms to use for the sole purpose of helping your prospects find and connect with you online. My favorite is X – formerly known as Twitter, and I also use LinkedIn and YouTube as my favorite social media sites to grow my business. Please connect with me on these sites and let me know how I may best serve you as you build and grow your profitable business. Is your list of what you are willing to do longer than your list of what you don’t want to do? I recommend a mile-long “to-do” list and a daily schedule of no more than four things that you will work on each day in your business. Find a mentor who believes in you and get started with creating a lifestyle by design that you want and deserve. I’m recommending James Clear’s “Atomic Habits” – https://ConnieLoves.me/AtomicHabits – as a book to help you alleviate your fears. We all have hopes, dreams, goals, and fears regarding our life experiences. I have found that if we build up our confidence and have faith that everything will turn out in a way that will be beneficial to all, we can continue to move forward without negative effects. Having an online business requires confidence. These are some questions to ask yourself: Who will you serve? What are your prospects pain points? What’s your idea? How will it be created, and then delivered? How will you sell it online? Creating a simple product or online course is the beginning of living a lifestyle by design. Reach out to me any time at conniegreenhouse at yahoo dot com if you’d like to know more about getting started as an online entrepreneur. ~ ~ ~ ~ ~ My first online course back in 2006 was a simple one with three audio trainings and a workbook. Then, I began creating more sophisticated, but not more complicated courses. I’ve used the “Really Simple” branding for many courses at least 25 times, as well as using other terms and phrases based on the keywords I am optimizing for with each new course. Having your own online course on a topic you want to become known for will give you leverage to grow your business exponentially over time. It’s interesting to me that we as humans sometimes take things for granted that later on we know we should have appreciated in the moment. What I’m referring to here is having an online business you can run from home, or from anywhere in the world. There’s a window of opportunity that isn’t always open, and right now this window is wide open to everyone. A lot of it depends upon economic factors. I almost went back to graduate school two years ago to study economics, but decided against it because of the film and television writing I’m pursuing, but that’s a story for another time. Someone I work closely with had posted this quote from Richard Branson the other day: “Business opportunities are like buses, there’s always another one coming.” This does NOT apply to online business, but instead refers to starting a physical, brick and mortar business. I know several people in both of my cities who borrowed against their homes, cashed out retirement savings, and sold family heirlooms to start businesses in the community, only to go bankrupt a couple of years later. What I’m saying here is that this is the time to get your online business off the ground and up and running profitably. It’s so inexpensive in comparison, and the biggest expense I incur is what I pay mentors to guide me in the right direction. Yes, I still have a mentor and recommend you do as well. This isn’t coaching, but instead a personal relationship you’ll build over time that could lead to strategic alliance partnerships and lifelong friendships. I’m at conniegreenhouse at yahoo dot com if you want to know more about mentoring with me. The four widely accepted learning modalities (or modes) are known by the acronym VARK: Visual, Auditory, Reading/Writing, Kinesthetic. They are sometimes inaccurately referred to as “learning styles” which implies that each learner has a “style” of learning that should be maximized in all learning situations. Focusing on consistency, productivity, and creativity makes sense for all online entrepreneurs in 2024. I’m also sharing some effective and time-proven strategies with you here that will make a difference in your business, as well as in your personal life experience. Each day I focus on writing, creating, marketing, and teaching/learning/mentoring. My writing began as short and simple blog posts and blossomed into more than twenty-five full-length books. My writing is my oeuvre, my body of work that is my legacy to family, friends, colleagues, and those who follow me. During 2023 I wrote and published more than 400 thousand words. This breaks down to one full-length book, Self-Directed: Inspire, Motivate, and Empower Yourself to the Greatness That Lies Within; the current book on marketing that is more than halfway written; 8 short reports on topics of interest to the people I work with online; one hundred thirty-eight blog posts on three different blogs I maintain; and 382 email messages to my online community. These are  practical strategies for effective time management, emphasizing the importance of creating a balance between work and personal life. Achieving work-life harmony requires effective time management strategies that allow you to balance professional and personal responsibilities. Here are some strategies to help you manage your time more efficiently: 1. Set Clear Priorities: Identify your most important tasks and priorities for both work and personal life. Focus on what truly matters and allocate time accordingly. 2. Use a Time Management System: Choose a time management system that works for you, whether it’s a digital tool like Todoist or Trello, or a physical planner. Organize tasks, set deadlines, and track your progress. Schedules vs To-Do Lists 3. Prioritize Tasks with the Eisenhower Matrix: Categorize tasks into four quadrants: urgent and important, important but not urgent, urgent but not important, and neither urgent nor important. Prioritize tasks based on these categories. 4. Batch Similar Tasks: Group similar tasks together and tackle them during specific time blocks. This reduces the mental load of switching between different types of activities. 5. Time Blocking: Allocate specific blocks of time to different activities. This includes work tasks, personal commitments, and breaks. Stick to the schedule as much as possible. 6. Learn to Say No: Be selective about taking on new commitments. Saying no when necessary helps you avoid over-committing and allows you to focus on your existing priorities. 7. Delegate When Possible: Delegate tasks that others can handle. This applies to both professional and personal responsibilities. It’s okay to ask for help. 8. Practice the Two-Minute Rule: If a task takes less than two minutes, do it immediately. This prevents small tasks from piling up and becoming overwhelming. 9. Limit Multitasking: Focus on one task at a time. Multitasking can reduce efficiency and increase stress. Complete one task before moving on to the next. ~ ~ ~ ~ ~ You’re starting a conversation with your emails, and building a relationship with your prospects, customers, and clients over time. I’ve been online as an entrepreneur, marketer, and writer since 2006, and while much has changed, I believe that more has remained the same. Here, I’m discussing how we marketed in those early days, and why email marketing still remains top of mind. Most recently, I’ve co-hosted an Advanced Email Marketing Conference with Ellen Finkelstein. In April of 2023, I hosted my latest live marketing event in Los Angeles, and more recently I’ve hosted my Santa Barbara Retreat for those I mentor and teach. But like everyone else, I began by attending live events, and eventually virtual events in order to find my voice, connect with other like-minded people, and learn more about building and growing my online business. Guerilla marketing is a way to drive publicity and, as a result, brand awareness by promoting using unconventional methods designed to evoke surprise, wonder, or shock. Guerrilla marketing is the creating use of novel or unconventional methods in order to boost sales or attract interest in a brand or business. These methods are often low- or no-cost and involve the widespread use of more personal interactions or through viral social media messaging. This marketing method has increased in popularity with the rise of ubiquitous mobile and connected technologies that can amplify messaging and focus on target groups of consumers. Some consumers may be more attracted by guerrilla marketing campaigns as they may be more interesting and daring, while others may be turned off because of the perceived “disruptive” aspects of this style of marketing. Please subscribe and leave me a review. And connect with me at https://ConnieRagenGreen.com. Find out more about me HERE. Becoming an online entrepreneur was the best decision I ever made. I’ve been online since 2006 and now help others all over the world to do the same or something similar. We all have times where we are feeling a little down, lost, or confused. Life isn’t easy, and no one makes it out alive! These are my recommendations for how to get back on track and feeling more happy and optimistic about your future… Write! Whether you’re already a writer or are just beginning to think about sharing your thoughts, ideas, and experiences with others, writing makes sense. I write every single day and publish much of my writing as blog posts, short reports, and full-length books. Writing opens your mind to what you want in the future, by allowing you to explore the past through your memories. You can also retell and reframe your stories in a way that will serve you going forward. Start a new project! I usually create products and courses as new projects, but this can also manifest as something you build or create with your hands. I have family members on two continents that love to put together complex jigsaw puzzles. They look forward to these as a new project on a regular basis. Volunteer! Before I started my online business, I promised myself I would volunteer my time and donate money to charitable causes… as soon as I had the time and the money to do so. Once I had my own business, I realized that I had some time and a little money to do this all along. Spend time with new people! As a part of the volunteering I now do regularly, I’ve spent time with very young children, veterans, women starting over after being in a domestic violence situation, and more. This work continues to make a difference in my life. As you can see, there are many ways to get back to your “Why?” and I hope this has been helpful to you. What’s the best niche topic to cover in your blog? I know you don’t what to hear me say “It depends.” so I won’t. Lean in, and I’ll share the very best niche for you, and it’s one that is also the most profitable, will feel more like you’re just having fun, will never go out of style, and will be the one that has absolutely zero competition. Which niche topic and target audience could it possibly be? I won’t keep you in suspense any longer. I learned when I began online 17 years ago that the best niche for anyone is the one that makes your heart sing and is probably a topic you take for granted. I had been teaching school for twenty years and my students were mostly Spanish and Tagalog native speakers. I told them if they wrote just a few sentences every single day – weekends, holidays, and school breaks included – their writing would improve. Those who followed my advice excelled, while those who didn’t floundered. During all those years, I seldom wrote anything unless it was required for my work as a teacher or for my part-time work in real estate. Fast forward to 2006, and I realized not only that I needed to write in order to succeed online, but also that what I’d done with my students would apply here as well. My niche for the next eighteen months was around helping others to write, publish, market, and sell eBooks. I wrote one on real estate farming – choosing and area close to home to connect with people who may need your services – as an example and sold it on my website. Back then, you had to sell eBooks on your own websites, as Amazon had not yet entered the world of self-publishing. My niche and website became “eBook writing and marketing secrets” and this topic took me to six figures. I was learning right along with the people who were learning and buying from me. I then moved that site over to https://ConnieRagenGreen.com to make a name for myself and to branch out to other topics. The bottom line is that you must begin by sharing what you already know something about and love. Blogging is the direct path to the visibility, credibility, and profitability you wish to have in your business. In my business, every idea begins as a blog post. This is where I think and research and brainstorm what’s on my mind in the very beginning. The blog post is ground zero for what could, and many times does become a product, course or program. Blog posts, while based on your idea, can be created with original content, private label (PLR) rights content, guest content, or curated content. While I immediately share my published posts on social media as “micro content” you’ll want to wait at least 24 hours before syndicating your content on Medium. I also teach this syndication strategy in my popular and ongoing Syndication Optimization training program. Next up in your content creation and content marketing strategy is a short report, which you may sell online or give away as a lead magnet. I teach all of this in my Really Simple Short Reports training. This is what we refer to as “cornerstone” content that is extremely valuable. The final step is creating “authority content” by publishing your writing as a Kindle or paperback book to increase your visibility and build your reputation as an expert on your topic. I typically discuss time management and productivity in regards to entrepreneurs, marketers, and authors, and I’ve even co-authored a bestselling book on this topic, entitled “Time Management Strategies for Entrepreneurs: How to Manage Your Time to Increase Your Bottom Line” where we outline in great details the steps you may take to reach a level of optimal productivity and time management as an entrepreneur. But what about everyone else? Doesn’t every person deserve to live the lifestyle they want and deserve, where they enjoy financial freedom and the time to enjoy every moment to the fullest? Of course they do, and that’s what I’m sharing during this podcast. When I began online as a new entrepreneur in 2006, I realized immediately I would need help with technology and graphics, as these were the areas where I had no experience or talent. I bartered for these services for the first year or so, and then began to put together a team of people to support me so my business could grow. When I look back over my lifetime, I see that I have always had a team supporting me, whether it was while I worked as a classroom teacher, or in real estate as a broker and residential appraiser. Even while I was growing up, I was surrounded by people who supported me, from family, friends and neighbors to teachers, clergy, and people in the community. Put together your team and watch your business grow exponentially! When it comes to your visibility as an entrepreneur, where may we find you to see what you’re doing? This expert status comes from your writing, videos and audios, and your social media presence on the most active platforms for your target audience. My three popular and active blogs are at ConnieRagenGreen.com, HugeProfitsTinyList.com, and at MondayMorningMellow.com. Credibility is about what you already know and what you are learning. We all started our online businesses as adults, so we brought our knowledge and experiences with us. It made sense for me to help people write, market, and publish eBooks in the beginning, because I had worked as a classroom teacher for twenty years prior to coming online, and was learning about marketing and self-publishing. Profitability means that you must ask “What’s for sale?” every day in your business. Create your own simple products and courses, recommend others with affiliate marketing, and look into buying the resale rights to sell other people’s products as your own like I continue to do in my own business. The final part of this information on your expert status as an entrepreneur includes productivity, consistency, and attention to detail. Get everything in place as quickly as possible, and your online business is sure to grow exponentially! During my first couple of years online, beginning in 2007 I connected with mentors Alex Mandossian and Raymond Aaron. When I inquired as to what they were doing together as strategic alliance partners, they gave me a brief explanation and told me that I was not yet ready to move up to this level. Over the next two years they helped me to grow and elevate my business and my mindset as an online entrepreneur so that I could connect with others in this way. Seek out the people and groups you wish to be involved with and show them that you have moved past tactics and on to strategies. It will make all the difference and as you uplevel everything you’re doing online in your business, your free time and disposable income will increase exponentially! When I work with people in my Incubator Mastermind Mentoring program, the goal is to move them into position to become a strategic alliance partner with me and others to share their message in a bigger way. WHY did you choose the career you started your working life with? WHY did you get married, have children, and move into your first home? WHY did you make the conscious decision to leave your career at some point and start your business? WHY do you want to be an author or entrepreneur, or coach? WHY do you get up every single day and do the work required to become more successful on an ongoing basis? Everyone must have a WHY and there are no right or wrong answers here. But if you find yourself unmotivated to work or if you find yourself procrastinating on projects, then it's time to re-examine the main reason for your business. Name Your Reason – or Your WHY – for Starting a Business Focusing on your WHY can help motivate you, so write down your reason for starting a business on a regular basis. Did you want to fill your free time? Did you want to earn some play money or contribute to the family finances? Did you want to pay the medical bills of an aging parent or a sick child? Did you want to pay for your child's higher education or private school tuition? In my case, my answer to “what's your why?” was always around having enough income to live life on my terms. Over time, I came to the realization that every choice I was making, and each time I could not do something that had meaning for me, was all related to me needing to earn a paycheck or a commission from the classroom teaching and real estate work I was involved with each day. I missed just about every family event, vacation, and other activities because I was working 60 or more hours a week in order to cover my bills and other expenses. I wasn't angry or resentful because I believed that I didn't deserve to have a better life during those decades. This all changed in 2005 when I began reading books and attending events based on self improvement and personal development principles. Writing these reasons down – no matter what they are because every person's WHY will be different – should help motivate you to work hard. You should feel driven to make your business a success. You should be willing to tackle things outside your comfort zone because you know the end result will help your business. If you're not feeling motivated, then you need to dig deeper. I worked closely with a woman who was struggling to make her online business become profitable, and she continued to tell me that she had no problems or struggles in her life, currently or during her younger years. Then, one day she told me about her granddaughter who had passed away at age twelve and the floodgates opened. We got to the bottom of things, she discovered her why, and her business grew by leaps and bounds, almost overnight! Be Open and Willing to Examine Your Inner Feelings Life is fluid and ever-changing so it stands to reason that your WHY would change over time as well. Even if you started your business because you didn't know what to do once your kids were in full day school, you can change that WHY to something more meaningful now. A mentor once shared with me that she started a service business because she was a single mom and needed to earn money to survive. She was responsible for lodging, food, and clothing for herself and her child. She didn't have anyone to rely on except herself. THIS is enough to make you cry and to hustle for work, knowing that if she wasn't working, she wasn't eating. What are you passionate about that will get you hustling? Are you passionate about a cause or charity that can benefit from your financial assistance? Do you need to pull yourself up out of financial despair? Don't be afraid to own that reason and fight for your business. This is how you will continue to get closer to understanding and recognizing the answer to “what's your why?” Don't be Afraid to Switch Business Gears to Discover Your “Why” One of my mentees admitted to me early on that even though she has been in a service business for over ten years, that she hadn't been motivated to create any classes or products as a source of passive income. She blamed her indecision on a lack of new ideas and a feeling and belief that everything she knew had already been said and done, but I questioned if it was because she didn't feel attached to her particular niche of online marketing. After some more discussion, she agreed and has since modified her services that align better with what she enjoys. I still suggested that she explore a deeper WHY but this is a step in the right direction. Plenty of businesses add or subtract products or services or modify their mission statement. If something about your business doesn't feel right, don't be afraid to make changes. I'm bestselling author and online entrepreneur Connie Ragen Green, and now I can confidently answer the question “What's your why?” with enthusiasm and conviction. My “why” is around the concept of helping others to achieve their goals and dreams with writing and having a profitable online business so they may follow their dreams and passions without having to do work that doesn't make their heart sing or worry about meeting all of their financial obligations with grace and ease. You can double your productivity and be success with a business, or with anything you choose to accomplish in your life, if you are willing to implement what you learn and take decisive action on a consistent basis. Many people come to me to learn how to successful and profitable as an online entrepreneur. But some of them end up saying “I already know that” and moving on to something else. I know that I am able to do more than I ever thought would be possible in my life because I am willing to learn, implement, course correct, ask questions, take massive action and keep moving forward with consistency. Others may be smarter or more knowledgeable, but if they hesitate to take action they will not achieve the results they are hoping for in their business or with anything else. As long as you are specific and intentional with what you want to achieve, you can do it all as an entrepreneur, just not all at once. And we must throw perfection out the window. I have a new saying… The more perfecter your goal, the less purfeckt your results. “Everything we do in our lives is preparing us for something that will arise in the future, even though we don’t yet know what that will be.” ~ Connie Ragen Green Our stories are the fabric of our life. A story sets you apart from everyone else, makes you unique and memorable, and is all you have when it's all said and done. When I was a young child a neighbor girl, seven or eight years old at the time, interrupted my mother in the middle of a story she was telling to ask, “Why do you have so many stories?” My mother hardly skipped a beat, informing the girl that “You'll have stories too, when you get older.” On that evening a part of me became a storyteller in training. Sure enough, it wasn't long before I was telling stories about everything from what I did in school that day to what happened in the neighborhood. I wore my storyteller's hat with pride and now I see that this one aspect of my life was preparing me for what I now do in my business and derive great joy from every single day. The word “praestabilis” is from the Latin and means outstanding, excellent, and extraordinary and this is the goal for you as you make your way in the online world. It took me until age 50 to step into the light and live an empowered life. I achieved this by leaving a job – classroom teaching – and a career as a real estate broker and appraiser to come online as an entrepreneur. I have no regrets about waiting so long, as everything unfolds once we are open to receiving it. There are three top strategies to help you move closer to an empowered life and they include… Writing – Every day, I want you to write! This includes blog posts, outlines, emails to your prospects, clients, and potential joint venture partners. Also, write short reports and white papers to show others who you are and what you know. Finally, write a book to solidify your expertise in your niche, and follow that up with additional books over time. Writing is crucial to our process of standing out from the crowd by sharing what we know and believe. Reach out to me if you’re interested in coming aboard for my “10 Week Author” program. Recent posts on my three blogs are at: “Broken Compass Stories We Tell Ourselves” – https://mondaymorningmellow.com/broken-compass-story/ “The eBook That Changed My Life” – https://hugeprofitstinylist.com/ebook-that-changed-my-life/ “Marketing Secrets from Creative Sources” – https://connieragengreen.com/marketing-secrets-from-creative-sources/ Speaking – I was the reluctant speaker, but once I got past my fears and insecurities you can’t get the microphone away from me. Speak about yourself and your topic to anyone who will listen. I began by speaking at my Rotary Club and I continue to recommend service organizations as a way to break in to speaking. Now I speak all over the world, in person and virtually on a variety of topics. Masterminding – Connecting with others for the sole purpose of reaching your full potential is crucial to life success. Find a Mastermind group to join, or start your own by inviting thought leaders to connect with you in this way. I have a group called the Incubator Mastermind that may be of interest to you. Hopefully, you can see that what I’m sharing with on each podcast will make a difference for you as you build and grow your business as an entrepreneur, author, and marketer. Make sure to think of marketing as a priority and get into the habit of sharing your best ideas and resources with the people who are on their way to becoming your raving fans! I’m always just an email away at conniegreenhouse at yahoo dot com if you’d like to connect with me. I promise to help you keep it simple while you grow your online business. Get started with your own eBook empire by learning how to write an eBook from the person who continues to guide me along this lucrative journey. Take a look at How to Write and Publish Your Own eBook…in as Little as 7 Days from expert and author Jim Edwards. Thank you for this opportunity to serve you as I share my beliefs, perceptions, and experiences as an author, online entrepreneur, and marketing strategist with you. Marketing has become the joy of my life as I continue to learn, grow, and share concepts with others. I'm bestselling author, marketing strategist, and online entrepreneur Connie Ragen Green and I would love to connect further with you to help you to achieve your goals. If you are interested in learning how to optimize the syndication of your content, please take a look at my popular Syndication Optimization training course and consider coming aboard to increase your visibility, credibility, and profitability.The post Praestabilis – Excellence in Marketing – 161 first appeared on Connie Ragen Green Podcast.The post Praestabilis – Excellence in Marketing – 161 appeared first on Connie Ragen Green Podcast.

A Spirit-filled life is not just about what we possess outwardly, but about the character and stability we demonstrate inwardly. The evidence of God’s Spirit in us is revealed through the fruit we bear every day.

#899 Want to build a thriving Google Ads agency with real results? In this episode, host Brien Gearin sits down with Shri Kanase, founder of Yoru Marketing and YouTube educator, to unpack how he built a 7-figure agency rooted in real e-commerce experience. Shri shares his journey from dropshipping in high school to scaling high-ROAS Google and Bing ad campaigns for brands doing $50K+/mo. He breaks down how to find your niche, attract clients organically, price for profitability, hire global talent, and adapt to AI's evolving role in paid search. Whether you're starting an agency or scaling one, this episode is a masterclass in strategic, data-driven growth! (Original Air Date - 9/8/25) What we discuss with Shri: + Shri's start in e-commerce as a teen + Transition from brand owner to agency founder + Importance of niche-specific agency focus + How he got his first client from YouTube + Offering Bing Ads as a strategic differentiator + Pricing models: retainer + ad spend percentage + Hiring and managing a lean global team + Why he avoids working with unproven startups + Adapting to AI in Google Ads and search + High-ROAS opportunities with Bing for certain niches Thank you, Shri! Check out Yoru Marketing at ⁠YoruMarketing.com⁠. Follow Shri on ⁠Instagram⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Microsoft's earnings report went out last week, and the company spent a lot on AI in the quarter. Microsoft updates its customers on what it's done to address Windows 11 problems. And Xbox kills Copilot plans for the console. Microsoft Earnings Microsoft announced that it earned a net income of $31.8 billion on revenues of $82.9 billion in the previous quarter. Windows: 1.6 billion monthly active devices, a focus on quality after years of enshittification - but revenues from PC makers were down 2 percent YOY. Microsoft Edge "has taken share for 20 consecutive quarters," which isn't supported by the evidence. Bing "monthly active users reached one billion for the first time," raising questions about how Microsoft defines the term "user." Xbox: "The team is recommitting to our core fans and players, and shaping the future of play," new records for monthly active Xbox users and game streaming hours. AI: Capex spending in the quarter was $32 billion, down from previous quarter as previously described, but up 49 percent YOY. More earnings Apple, Google/Alphabet, and Amazon. AMD - Up because of AI datacenter. Qualcomm - Plus, Intel just hired away a key Qualcomm exec. Windows Microsoft shares an update about what it's done to address Windows 11 pain points so far. Marcus Ash is one of the good guys. Some of this is happening in Insider, some is rolling out to retail. Windows Insider Program and Windows Update improvements we discussed last week - two primary channels in WIP now. Simplifying AI experiences - fewer Copilot icons (Notepad, etc.). File Explorer improvements - performance, fewer hangs, better polish and consistency. Widgets - Feed will be off by default, fewer interruptions, no hover activate. System performance - Smaller memory footprint, more aggressive RAM restoration, and more. Soon: Taskbar updates, Start updates, and more to share at Build in June. Week D update arrives with a peek at May's Patch Tuesday. Major: Xbox Mode, AI agents on the Taskbar are the first two big features of 2026. Minor: Also adds File Explorer improvements, new haptic feedback effects, touch keyboard improvements, and more. Shocking new report that Microsoft Edge is incredibly insecure should surprise no one. AI Microsoft Agent 365 Platform is out of preview, supports local AI agents and Copilot Cowork Agent arrives on mobile with plugin support. Microsoft launches a Legal AI Agent in Word. Apple's plan to open up to multiple third-party AIs is a good one. Canonical's plan to add AI to Ubuntu is also good, but you're never going to believe what happened next. Xbox and Gaming Asha Sharma reorgs Xbox, kills Copilot on the console. Forza Horizon 6, more coming to Game Pass in May. Xbox April Update is out with updates for all platforms. Next Call of Duty will not ship on Xbox One, PS4. Age of Empires II: Definitive Edition is coming to the Mac for some reason. And finally, with the Supreme Court refusing to block the implementation of the ruling in Epic v. Apple, Microsoft's Xbox game store for mobile is one step closer to happening. Tips and picks Tip of the week: Embrace inconvenience. App pick of the week: Windows Defender. RunAs Radio this week: Securing Active Directory with Spencer Alessi. Brown liquor pick of the week: Stalk & Barrel Whisky. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/982 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit threatlocker.com/twit joindeleteme.com/twit promo code TWIT helixsleep.com/windows cachefly.com/twit

Microsoft's earnings report went out last week, and the company spent a lot on AI in the quarter. Microsoft updates its customers on what it's done to address Windows 11 problems. And Xbox kills Copilot plans for the console. Microsoft Earnings Microsoft announced that it earned a net income of $31.8 billion on revenues of $82.9 billion in the previous quarter. Windows: 1.6 billion monthly active devices, a focus on quality after years of enshittification - but revenues from PC makers were down 2 percent YOY. Microsoft Edge "has taken share for 20 consecutive quarters," which isn't supported by the evidence. Bing "monthly active users reached one billion for the first time," raising questions about how Microsoft defines the term "user." Xbox: "The team is recommitting to our core fans and players, and shaping the future of play," new records for monthly active Xbox users and game streaming hours. AI: Capex spending in the quarter was $32 billion, down from previous quarter as previously described, but up 49 percent YOY. More earnings Apple, Google/Alphabet, and Amazon. AMD - Up because of AI datacenter. Qualcomm - Plus, Intel just hired away a key Qualcomm exec. Windows Microsoft shares an update about what it's done to address Windows 11 pain points so far. Marcus Ash is one of the good guys. Some of this is happening in Insider, some is rolling out to retail. Windows Insider Program and Windows Update improvements we discussed last week - two primary channels in WIP now. Simplifying AI experiences - fewer Copilot icons (Notepad, etc.). File Explorer improvements - performance, fewer hangs, better polish and consistency. Widgets - Feed will be off by default, fewer interruptions, no hover activate. System performance - Smaller memory footprint, more aggressive RAM restoration, and more. Soon: Taskbar updates, Start updates, and more to share at Build in June. Week D update arrives with a peek at May's Patch Tuesday. Major: Xbox Mode, AI agents on the Taskbar are the first two big features of 2026. Minor: Also adds File Explorer improvements, new haptic feedback effects, touch keyboard improvements, and more. Shocking new report that Microsoft Edge is incredibly insecure should surprise no one. AI Microsoft Agent 365 Platform is out of preview, supports local AI agents and Copilot Cowork Agent arrives on mobile with plugin support. Microsoft launches a Legal AI Agent in Word. Apple's plan to open up to multiple third-party AIs is a good one. Canonical's plan to add AI to Ubuntu is also good, but you're never going to believe what happened next. Xbox and Gaming Asha Sharma reorgs Xbox, kills Copilot on the console. Forza Horizon 6, more coming to Game Pass in May. Xbox April Update is out with updates for all platforms. Next Call of Duty will not ship on Xbox One, PS4. Age of Empires II: Definitive Edition is coming to the Mac for some reason. And finally, with the Supreme Court refusing to block the implementation of the ruling in Epic v. Apple, Microsoft's Xbox game store for mobile is one step closer to happening. Tips and picks Tip of the week: Embrace inconvenience. App pick of the week: Windows Defender. RunAs Radio this week: Securing Active Directory with Spencer Alessi. Brown liquor pick of the week: Stalk & Barrel Whisky. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/982 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit threatlocker.com/twit joindeleteme.com/twit promo code TWIT helixsleep.com/windows cachefly.com/twit

Microsoft's earnings report went out last week, and the company spent a lot on AI in the quarter. Microsoft updates its customers on what it's done to address Windows 11 problems. And Xbox kills Copilot plans for the console. Microsoft Earnings Microsoft announced that it earned a net income of $31.8 billion on revenues of $82.9 billion in the previous quarter. Windows: 1.6 billion monthly active devices, a focus on quality after years of enshittification - but revenues from PC makers were down 2 percent YOY. Microsoft Edge "has taken share for 20 consecutive quarters," which isn't supported by the evidence. Bing "monthly active users reached one billion for the first time," raising questions about how Microsoft defines the term "user." Xbox: "The team is recommitting to our core fans and players, and shaping the future of play," new records for monthly active Xbox users and game streaming hours. AI: Capex spending in the quarter was $32 billion, down from previous quarter as previously described, but up 49 percent YOY. More earnings Apple, Google/Alphabet, and Amazon. AMD - Up because of AI datacenter. Qualcomm - Plus, Intel just hired away a key Qualcomm exec. Windows Microsoft shares an update about what it's done to address Windows 11 pain points so far. Marcus Ash is one of the good guys. Some of this is happening in Insider, some is rolling out to retail. Windows Insider Program and Windows Update improvements we discussed last week - two primary channels in WIP now. Simplifying AI experiences - fewer Copilot icons (Notepad, etc.). File Explorer improvements - performance, fewer hangs, better polish and consistency. Widgets - Feed will be off by default, fewer interruptions, no hover activate. System performance - Smaller memory footprint, more aggressive RAM restoration, and more. Soon: Taskbar updates, Start updates, and more to share at Build in June. Week D update arrives with a peek at May's Patch Tuesday. Major: Xbox Mode, AI agents on the Taskbar are the first two big features of 2026. Minor: Also adds File Explorer improvements, new haptic feedback effects, touch keyboard improvements, and more. Shocking new report that Microsoft Edge is incredibly insecure should surprise no one. AI Microsoft Agent 365 Platform is out of preview, supports local AI agents and Copilot Cowork Agent arrives on mobile with plugin support. Microsoft launches a Legal AI Agent in Word. Apple's plan to open up to multiple third-party AIs is a good one. Canonical's plan to add AI to Ubuntu is also good, but you're never going to believe what happened next. Xbox and Gaming Asha Sharma reorgs Xbox, kills Copilot on the console. Forza Horizon 6, more coming to Game Pass in May. Xbox April Update is out with updates for all platforms. Next Call of Duty will not ship on Xbox One, PS4. Age of Empires II: Definitive Edition is coming to the Mac for some reason. And finally, with the Supreme Court refusing to block the implementation of the ruling in Epic v. Apple, Microsoft's Xbox game store for mobile is one step closer to happening. Tips and picks Tip of the week: Embrace inconvenience. App pick of the week: Windows Defender. RunAs Radio this week: Securing Active Directory with Spencer Alessi. Brown liquor pick of the week: Stalk & Barrel Whisky. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/982 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit threatlocker.com/twit joindeleteme.com/twit promo code TWIT helixsleep.com/windows cachefly.com/twit

Microsoft's earnings report went out last week, and the company spent a lot on AI in the quarter. Microsoft updates its customers on what it's done to address Windows 11 problems. And Xbox kills Copilot plans for the console. Microsoft Earnings Microsoft announced that it earned a net income of $31.8 billion on revenues of $82.9 billion in the previous quarter. Windows: 1.6 billion monthly active devices, a focus on quality after years of enshittification - but revenues from PC makers were down 2 percent YOY. Microsoft Edge "has taken share for 20 consecutive quarters," which isn't supported by the evidence. Bing "monthly active users reached one billion for the first time," raising questions about how Microsoft defines the term "user." Xbox: "The team is recommitting to our core fans and players, and shaping the future of play," new records for monthly active Xbox users and game streaming hours. AI: Capex spending in the quarter was $32 billion, down from previous quarter as previously described, but up 49 percent YOY. More earnings Apple, Google/Alphabet, and Amazon. AMD - Up because of AI datacenter. Qualcomm - Plus, Intel just hired away a key Qualcomm exec. Windows Microsoft shares an update about what it's done to address Windows 11 pain points so far. Marcus Ash is one of the good guys. Some of this is happening in Insider, some is rolling out to retail. Windows Insider Program and Windows Update improvements we discussed last week - two primary channels in WIP now. Simplifying AI experiences - fewer Copilot icons (Notepad, etc.). File Explorer improvements - performance, fewer hangs, better polish and consistency. Widgets - Feed will be off by default, fewer interruptions, no hover activate. System performance - Smaller memory footprint, more aggressive RAM restoration, and more. Soon: Taskbar updates, Start updates, and more to share at Build in June. Week D update arrives with a peek at May's Patch Tuesday. Major: Xbox Mode, AI agents on the Taskbar are the first two big features of 2026. Minor: Also adds File Explorer improvements, new haptic feedback effects, touch keyboard improvements, and more. Shocking new report that Microsoft Edge is incredibly insecure should surprise no one. AI Microsoft Agent 365 Platform is out of preview, supports local AI agents and Copilot Cowork Agent arrives on mobile with plugin support. Microsoft launches a Legal AI Agent in Word. Apple's plan to open up to multiple third-party AIs is a good one. Canonical's plan to add AI to Ubuntu is also good, but you're never going to believe what happened next. Xbox and Gaming Asha Sharma reorgs Xbox, kills Copilot on the console. Forza Horizon 6, more coming to Game Pass in May. Xbox April Update is out with updates for all platforms. Next Call of Duty will not ship on Xbox One, PS4. Age of Empires II: Definitive Edition is coming to the Mac for some reason. And finally, with the Supreme Court refusing to block the implementation of the ruling in Epic v. Apple, Microsoft's Xbox game store for mobile is one step closer to happening. Tips and picks Tip of the week: Embrace inconvenience. App pick of the week: Windows Defender. RunAs Radio this week: Securing Active Directory with Spencer Alessi. Brown liquor pick of the week: Stalk & Barrel Whisky. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/982 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit threatlocker.com/twit joindeleteme.com/twit promo code TWIT helixsleep.com/windows cachefly.com/twit

Most people assume the web runs on Google. The reality is more concentrated: only three companies on earth operate truly independent search indices — Google, Bing, and Brave. Jean-Paul Schmetz helped build one of them. In this episode, Jean-Paul traces the arc from writing appointment software in a Belgian Radio Shack in 1981, through founding and selling Clix — a European search engine backed by Burda — to his current role as Chief of Ads at Brave, where he now sells search infrastructure to the AI companies that need it most. For CTOs, this is a rare look inside an infrastructure layer most take for granted: how search indices are actually built, why it takes decades and hundreds of millions to do it properly, and why the entire AI grounding market quietly runs on infrastructure a small group of engineers spent their careers building. Topics covered: - Why only Google, Bing, and Brave have truly independent global search indices - How AI companies use search grounding — and what happens when Google and Bing cut them off - The SERP API gray market and why it probably has a two-year shelf life - What it actually costs to crawl and index the web at scale - The advertising model that will eventually come to AI — and why it's inevitable - Jean-Paul's Stanford years: machine learning with Andrew Ng, and what was obvious in 2013 that took until 2022 to matter - Build vs. buy for search infrastructure in 2025

Microsoft's earnings report went out last week, and the company spent a lot on AI in the quarter. Microsoft updates its customers on what it's done to address Windows 11 problems. And Xbox kills Copilot plans for the console. Microsoft Earnings Microsoft announced that it earned a net income of $31.8 billion on revenues of $82.9 billion in the previous quarter. Windows: 1.6 billion monthly active devices, a focus on quality after years of enshittification - but revenues from PC makers were down 2 percent YOY. Microsoft Edge "has taken share for 20 consecutive quarters," which isn't supported by the evidence. Bing "monthly active users reached one billion for the first time," raising questions about how Microsoft defines the term "user." Xbox: "The team is recommitting to our core fans and players, and shaping the future of play," new records for monthly active Xbox users and game streaming hours. AI: Capex spending in the quarter was $32 billion, down from previous quarter as previously described, but up 49 percent YOY. More earnings Apple, Google/Alphabet, and Amazon. AMD - Up because of AI datacenter. Qualcomm - Plus, Intel just hired away a key Qualcomm exec. Windows Microsoft shares an update about what it's done to address Windows 11 pain points so far. Marcus Ash is one of the good guys. Some of this is happening in Insider, some is rolling out to retail. Windows Insider Program and Windows Update improvements we discussed last week - two primary channels in WIP now. Simplifying AI experiences - fewer Copilot icons (Notepad, etc.). File Explorer improvements - performance, fewer hangs, better polish and consistency. Widgets - Feed will be off by default, fewer interruptions, no hover activate. System performance - Smaller memory footprint, more aggressive RAM restoration, and more. Soon: Taskbar updates, Start updates, and more to share at Build in June. Week D update arrives with a peek at May's Patch Tuesday. Major: Xbox Mode, AI agents on the Taskbar are the first two big features of 2026. Minor: Also adds File Explorer improvements, new haptic feedback effects, touch keyboard improvements, and more. Shocking new report that Microsoft Edge is incredibly insecure should surprise no one. AI Microsoft Agent 365 Platform is out of preview, supports local AI agents and Copilot Cowork Agent arrives on mobile with plugin support. Microsoft launches a Legal AI Agent in Word. Apple's plan to open up to multiple third-party AIs is a good one. Canonical's plan to add AI to Ubuntu is also good, but you're never going to believe what happened next. Xbox and Gaming Asha Sharma reorgs Xbox, kills Copilot on the console. Forza Horizon 6, more coming to Game Pass in May. Xbox April Update is out with updates for all platforms. Next Call of Duty will not ship on Xbox One, PS4. Age of Empires II: Definitive Edition is coming to the Mac for some reason. And finally, with the Supreme Court refusing to block the implementation of the ruling in Epic v. Apple, Microsoft's Xbox game store for mobile is one step closer to happening. Tips and picks Tip of the week: Embrace inconvenience. App pick of the week: Windows Defender. RunAs Radio this week: Securing Active Directory with Spencer Alessi. Brown liquor pick of the week: Stalk & Barrel Whisky. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/982 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit threatlocker.com/twit joindeleteme.com/twit promo code TWIT helixsleep.com/windows cachefly.com/twit

It was a busier than normal news week. Here's what we covered:- Ask Jeeves is officially dead. IAC formally killed the OG search engine earlier this week. - There's been a spike in Google Business profile suspensions. - GSC fixed the 50 week impression data logging issue. - A Hard Drive shortage is slowing AI development and pushing up the costs of new computers and equipment.- Presented with the mythic power of Mythos, the Trump regime is now calling for the same AI safety testing it opposed in 2025.- US Homeland Security is seeking Google data on Canadians and presumably other foreign nationals for their online criticism of the Trump regime. - Google and Amazon's biggest profit driver in Q1-2026 was derived from their stakes in Anthropic.- Google Chrome installs 4GB AI model on devices in update to enable Google Nano operability. - The state of Pennsylvania is suing Character.AI after a chatbot posed as a licensed doctor.- Open AI misses revenue targets. CFO worried about paying for future computing contacts. - Managed WordPress might be blocking some AI bots.- Bing publishes documentation on how grounding differs from search indexing.- Google outlines how AI Overviews and AI Mode are separate systems that sometimes intercede with each other or through other systems.- John Mueller says Vibe coding won't handle your SEO for you.- Google expanding UCP Checkout to main search results pages. - and, Ryan Jones from SERPRecon on what Semantic SEO Metrics mean and how to use them.Join hosts Jim Hedger and Kristine Schachinger for a in-depth and lively conversations about these and dozens of other topics in a news heavy edition of WebcologyAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Microsoft's earnings report went out last week, and the company spent a lot on AI in the quarter. Microsoft updates its customers on what it's done to address Windows 11 problems. And Xbox kills Copilot plans for the console. Microsoft Earnings Microsoft announced that it earned a net income of $31.8 billion on revenues of $82.9 billion in the previous quarter. Windows: 1.6 billion monthly active devices, a focus on quality after years of enshittification - but revenues from PC makers were down 2 percent YOY. Microsoft Edge "has taken share for 20 consecutive quarters," which isn't supported by the evidence. Bing "monthly active users reached one billion for the first time," raising questions about how Microsoft defines the term "user." Xbox: "The team is recommitting to our core fans and players, and shaping the future of play," new records for monthly active Xbox users and game streaming hours. AI: Capex spending in the quarter was $32 billion, down from previous quarter as previously described, but up 49 percent YOY. More earnings Apple, Google/Alphabet, and Amazon. AMD - Up because of AI datacenter. Qualcomm - Plus, Intel just hired away a key Qualcomm exec. Windows Microsoft shares an update about what it's done to address Windows 11 pain points so far. Marcus Ash is one of the good guys. Some of this is happening in Insider, some is rolling out to retail. Windows Insider Program and Windows Update improvements we discussed last week - two primary channels in WIP now. Simplifying AI experiences - fewer Copilot icons (Notepad, etc.). File Explorer improvements - performance, fewer hangs, better polish and consistency. Widgets - Feed will be off by default, fewer interruptions, no hover activate. System performance - Smaller memory footprint, more aggressive RAM restoration, and more. Soon: Taskbar updates, Start updates, and more to share at Build in June. Week D update arrives with a peek at May's Patch Tuesday. Major: Xbox Mode, AI agents on the Taskbar are the first two big features of 2026. Minor: Also adds File Explorer improvements, new haptic feedback effects, touch keyboard improvements, and more. Shocking new report that Microsoft Edge is incredibly insecure should surprise no one. AI Microsoft Agent 365 Platform is out of preview, supports local AI agents and Copilot Cowork Agent arrives on mobile with plugin support. Microsoft launches a Legal AI Agent in Word. Apple's plan to open up to multiple third-party AIs is a good one. Canonical's plan to add AI to Ubuntu is also good, but you're never going to believe what happened next. Xbox and Gaming Asha Sharma reorgs Xbox, kills Copilot on the console. Forza Horizon 6, more coming to Game Pass in May. Xbox April Update is out with updates for all platforms. Next Call of Duty will not ship on Xbox One, PS4. Age of Empires II: Definitive Edition is coming to the Mac for some reason. And finally, with the Supreme Court refusing to block the implementation of the ruling in Epic v. Apple, Microsoft's Xbox game store for mobile is one step closer to happening. Tips and picks Tip of the week: Embrace inconvenience. App pick of the week: Windows Defender. RunAs Radio this week: Securing Active Directory with Spencer Alessi. Brown liquor pick of the week: Stalk & Barrel Whisky. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/982 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: outsystems.com/twit threatlocker.com/twit joindeleteme.com/twit promo code TWIT helixsleep.com/windows cachefly.com/twit

eTail Palm Springs is one of the most important events on the e-commerce calendar. As one of the most anticipated events in the e-commerce calendar, eTail brings together senior retail leaders, DTC brands, and digital innovators to explore the evolving future of online and omnichannel retail. Every year, the event draws a powerful mix of founders, marketers, technology providers, and retail operators — all under one roof in the California desert.Isaac Morey, Co-Founder of Content Cucumber, was on the ground at eTail Palm Springs this year recording conversations for the Talk Commerce podcast. The result? A compilation video packed with some of his favorite interviews from across the show floor. Each one is a quick snapshot of the people, ideas, and energy that make eTail such a standout event.Here's a look at every clip in the compilation.0:40 Scott Ohsman, Always Off Brand5:38 Elizabethe Lachhar, RezolveAI10:57 Amrit Shergill, ShopVision14:21 Udayan Bose, NetElixer16:27 Andrew Watt, MAI18:17 Patrick Yoon, CHEQScott Ohsman, Always Off Brand: AI Is Moving Past the HypeScott Ohsman kicked things off with signature energy and a sharp take on where AI in e-commerce really stands. He argues that AI is finally moving from buzzword to tactical tool — but warns that a "blister" correction is coming, and that mediocre brands relying on AI as a crutch will be the first to get flushed out.D2C Brands Are About to Have a MomentIn the same conversation, Scott made the case that D2C brands are quietly positioned for a traffic windfall thanks to LLM-driven search sending users directly to brand websites. It's unpaid traffic, and the brands doing solid foundational work will benefit most.The Vibes at eTail Are UnmatchedScott closed with a love letter to the eTail experience itself — the Palm Springs sunshine, the resort setting, and the surprisingly positive energy on the exhibitor floor. According to Scott, even the vendors are in a good mood here, and that says a lot.Elizabeth Lachhar, Rezolve AI: The Case for Agentic CommerceElizabeth Lechhar from Rezolve AI broke down what agentic commerce actually means and why it matters right now. With Generation Alpha bringing five trillion dollars in buying power online in the next few years, the traditional e-commerce funnel is reaching end of life — and brands need to prepare for a conversational, hyper-personalized future.Shopping Will Become a 360° ExperienceElizabeth painted a picture of what the near future of shopping looks like: not just searching for a blazer, but asking an AI what to wear in Palm Springs, what goes with it, and whether you can still wear it to lunch. Commerce is becoming circular and lifestyle-driven, not linear.Get Your Data Ready NowIn her closing remarks, Elizabeth urged retailers to start preparing their data infrastructure for the agentic future. From multi-dimensional search to automated payments, the entire commerce stack is about to change — and Resolve AI is building the end-to-end platform to support that shift.Amrit Shergill, ShopVision: Why Retros Shouldn't Be AnecdotalAmrit Shergill of ShopVision explained how most brands rely on fragmented, anecdotal data when looking back at key campaigns like Black Friday. His company captures every digital touchpoint across competitors and reseller channels, turning guesswork into clarity and predictive insights.Pricing Intelligence: Finding White Space in the MarketAmrit dove deeper into a specific pain point he's hearing at eTail: pricing challenges. Brands with large wholesale networks are missing margin and product-line opportunities because they can't see how competitors are pricing similar products. His platform matches products across brands and surfaces the white space.Udayan Bose, NetElixir: $30 Million in Revenue Driven by ExperimentationNetElixir's founder, Udayan Bose shared that their machine-learning-powered experimentation platform has driven roughly $30 million in cumulative additional revenue across 250 experiments in the past year. The message is clear: performance AI — the kind that drives measurable outcomes — is the next frontier every e-commerce brand should pursue.NetElixir: AI Is Moving from Buzz to ActionUdayan also noted a shift in the eTail conversations this year: people aren't just talking about AI anymore — they're asking whether it actually drives results. NetElixir's high Net Promoter Score (84.4, double the industry average) backs up their claim that human expertise combined with AI delivers exceptional performance.Andrew Watt, MAI: Agentic AI for Google Ads ManagementThe team at MAI founded by former Google Ads and Instacart ad platform engineers introduced their agentic AI for paid media. Their platform plugs into Google Ads, Google Analytics, and Shopify, then autonomously builds and manages campaigns — taking over work that used to require agencies or in-house teams. They're expanding to Bing and Meta next.Patrick Yoon, CHEQ: Client-Side Detection: Cleaning Up Invalid TrafficPatrick explained how their client-side pixel unlocks intelligence retailers have never had access to before — from reducing paid media ad waste by up to 70% to identifying which bots on your site are malicious and which are actually acting on behalf of real consumers through LLMs.The AI-Bot Hybrid Future of Retail WebsitesIn a deeper dive, Patrick shared that Gartner predicts one in five interactions on retail websites will involve an LLM by 2028. The takeaway: you can't just block all automation anymore. Retailers need nuanced intelligence to distinguish between helpful AI agents and bad actors, and that distinction will directly impact ROI.

Scott Mason talks with Larion Bing of the 26 Degrees podcast about the Jets' newest IOL, Anez Cooper! Larion discusses: -Cooper's high school career -Late surge as a true freshman -Year by year ascent -Dominant OL in 2024 -A run to the national championship in 2025 -Durability and character -Good fit in NY with the Jets? and much more! Check out the Play Like A Jet store and get your "Play Like A Jet" logo shirt RIGHT NOW! Hoodies, hats, mugs, etc.....also available! https://www.teepublic.com/t-shirt/19770068-play-like-a-jet-logo-shirt?store_id=717242 Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Bing examines Matthew 7 and 12 to show that "you will know them by their fruits" refers to teaching and words, not merely behavior. He explains repentance as a change of mind (metanoia), clarifies the nature of saving faith, and addresses common confusions about faith, works, and assurance. Topics include tests for false prophets, James on faith and works, Lordship Salvation debates, and practical pastoral concerns about legalism and assurance of salvation. More can be found at our website, gracelife.org.

The connectome is the wiring diagram of a brain, a big matrix that tells us what neurons talk to what other neurons. Understanding it is an important step to understanding how brains work, but a long way from the final answer. A big next step is understanding how neuronal circuits connect to and guide bodily behavior. Very recent work on mapping the fruit-fly connectome has brought us closer to that goal. I talk with neuroscientist Bing Brunton about the connectome, how we can study it to understand bodily motion in flies and other creatures, and where it's all taking us. Chubbies is here to keep you comfy and looking good year-round. Get 20% off with code MINDSCAPE at chubbiesshorts.com/MINDSCAPE! #chubbiespod Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code MINDSCAPE at www.rag-bone.com. #ragandbonepod Support Mindscape on Patreon. Blog post with transcript: https://www.preposterousuniverse.com/podcast/2026/04/27/352-bing-brunton-on-connecting-the-connectome-to-the-body/ Bing Wen Brunton received her Ph.D. in neuroscience from Princeton University.. She is currently a Professor of Biology and the Richard & Joan Komen University Chair at the University of Washington, with affiliations at the eScience Institute for Data Science, the Paul G. Allen School of Computer Science & Engineering, and the Department of Applied Mathematics. Web site University of Washington web page Google Scholar publications YouTube channel Bluesky Artworks (Instagram)

This week I talk about my dislikes about The Sopranos. Some are aligned with most and some are very particular to me taste in Soprano Lore. Send in you top 10 Dislikes. Remember this is Dislikes not Hate or what I think they didn't get right. Goodearnerpod@gmail.comIG: Goodearnerpod_Sopranos

A vibe coding playbook, a product discovery tool and an untapped potential, Infoscions, the workplace is changing and you are going to love it! Join Shishank and Santhosh as they explore the speed, energy, and impact of BTN V(ai)bing.

The first "Jolson song" heard in "The Jolson Story," Bing and Al joined voices in a wonderful duet of "Ma Blushin' Rosie" on Bing's May 3, 1950 program. Here it is with introduction, gaffs, and botched lyrics. There is much more material in the complete program which, along with other Jolson radio shows, circulates on the Official Al Jolson Website at www.jolson.org.

Send us Fan MailEvery once in a while we flirt with highbrow culture, just to prove (to ourselves) how versatile we are. So when David introduced a lovely tidbit about William Shakespeare early in this episode, we started connecting dots between Pappy's love for the Bard and Dr Dave's honeymoon in Stratford. Along the way, what David turned a future guest "teaser" into the sort of ominous heads up that has Dr Dave sweating the prep time. Please enjoy us as much as we enjoy you!

In this video, I break down AI visibility and GEO vs traditional SEO, and whether any of it actually changes how B2B teams should go to market.We cover:→ What AEO and GEO actually mean and how they differ from traditional SEO→ Why the Five B's framework still holds up in the age of AI→ Why "be helpful" content is now more important than ever→ 3 practical things to do instead of chasing AI visibility hacksIf you are a B2B founder, marketer, or sales leader trying to figure out if AI search changes your content strategy or if the fundamentals still apply, this episode is for you.Tune in and learn:✅ Why AI doesn't replace your go-to-market playbook, it just raises the bar on being helpful✅ How to tighten your positioning so AI chatbots actually cite your brand✅ Why niche, question-led content wins in AI interfaces✅ How partnerships and trust signals drive distribution in the AI era✅ A bonus tip on using Bing's AI performance reporting for Copilot visibility-----------------------------------------------------

Early bird discounts for the San Francisco World's Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!From near-universal AI tool adoption inside Shopify to internal systems for ML experimentation, auto-research, customer simulation, and ultra-low-latency search, Mikhail Parakhin joins us for a deep dive into what it actually looks like when a 20-year-old, $200B software company goes all-in on AI. We cover why Shopify has become much more vocal about its internal stack, what changed after the December model-quality inflection, and why the real bottleneck in AI coding is no longer generation, but review, CI/CD, and deployment stability.We also go inside Tangle, Tangent, SimGym, which are three major AI initiatives that Shopify is doing to make experimentation reproducible, optimization automatic, customer behavior simulatable, and search and catalog intelligence faster and cheaper at scale. Along the way, Mikhail explains UCP, Liquid AI, and why token budgets are directionally right but often measured badly, why AI-written code can still increase bugs in production, what makes Shopify's customer simulation defensible, and what he learned from the Sydney era at Bing.We discuss:* Mikhail's path from running a major Microsoft business unit spanning Windows, Edge, Bing, and ads to becoming CTO of Shopify* Why Shopify is talking more publicly about AI now, and why staying at the frontier has become necessary for the company* Shopify's internal AI adoption curve, the December inflection, and why CLI-style tools are rising faster than traditional IDE-based tools* Why Jensen Huang is directionally right on token budgets, but raw token count is still the wrong way to evaluate engineering output* Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation* Why AI coding can still lead to more bugs in production even if models write cleaner code on average than humans* Why Shopify built its own PR review flow, and why Mikhail thinks most off-the-shelf review tools miss the point* How PR volume, test failures, and deployment rollback are becoming the real bottlenecks in the agent era* Why Git, pull requests, and CI/CD may need a new metaphor once code is written at machine speed* What Tangle is, and how Shopify uses it to make ML and data workflows reproducible, collaborative, and production-ready from the start* Why Tangle is different from Airflow, and why content-addressed caching creates network effects across teams* What Tangent is, and how Shopify is using auto-research loops to optimize search, themes, prompt compression, storage, and more* Why Tangent is becoming a democratizing tool for PMs and domain experts, not just ML engineers* Why AutoML finally feels real in the LLM era, and where auto-research still falls short today* Why Tangle, Tangent, and SimGym become much more powerful when combined into one system* What SimGym is, why simulated customers only work if you have real historical behavior, and why Shopify's data gives it a moat* How SimGym evolved from comparing A/B variants to telling merchants what to change on a single live storefront to raise conversions* Why customer simulation is so expensive, from multimodal models to browser farms to serving and distillation costs* How Shopify models merchant and buyer trajectories, runs counterfactuals, and thinks about interventions like discounts, campaigns, and notifications* Why category-level behavior is so different across commerce, and why ideas like Chinese Restaurant Processes are showing up again in practice* Shopify's new UCP and catalog work, including runtime product search, bulk lookups, and identity linking* Why Shopify is using Liquid AI, and why Mikhail sees it as the first genuinely competitive non-transformer architecture he has used in practice* Where Liquid already works inside Shopify today, from low-latency query understanding to large-scale catalog and Sidekick Pulse workloads* Whether Liquid could become frontier-scale with enough compute, and why Shopify remains pragmatic and merit-based about model choice* Who Shopify is hiring right now across ML, data science, and distributed databases* The Sydney story at Bing, why its personality was not an accident, and what Mikhail learned from deliberately shaping AI character early onMikhail Parakhin* LinkedIn: https://www.linkedin.com/in/mikhail-parakhin/* X: https://x.com/MParakhinTimestamps00:00:00 Introduction: Mikhail Parakhin, Microsoft, and Shopify00:01:16 Why Shopify Is Talking More About AI00:02:29 Internal AI Adoption at Shopify and the December Inflection00:06:54 Token Budgets, Jensen Huang, and Why Usage Metrics Can Mislead00:10:55 Why Shopify Built Its Own AI PR Review System00:12:38 AI Coding, More Bugs, and the Real Deployment Bottleneck00:14:11 Why Git, PRs, and CI/CD May Need to Change for Agents00:18:24 Tangle: Shopify's Reproducible ML and Data Workflow Engine00:21:19 Why Tangle Is Different from Airflow00:26:14 Tangent: Auto Research for Optimization and Experimentation00:30:07 How Tangent Democratizes Experimentation Beyond ML Engineers00:33:06 The Limits of Auto Research00:36:36 Why Tangle, Tangent, and SimGym Compound Together00:37:20 SimGym: Simulating Customers with Shopify's Historical Data00:42:47 The Infra Behind SimGym00:46:00 Why SimGym Gets Better with Real Customer History00:47:30 Counterfactuals, HSTU, and Modeling Merchant Trajectories00:51:55 CRPs, Clustering, and Category-Level Customer Behavior00:53:30 UCP, Shopify Catalog, and Identity Linking00:55:07 Liquid AI: Why Shopify Uses Non-Transformer Models00:59:13 Real Shopify Use Cases for Liquid01:03:00 Can Liquid Scale into a Frontier Model?01:09:49 Hiring at Shopify: ML, Data Science, and Databases01:10:43 Sydney at Bing: Personality Shaping and AI Character01:13:32 Closing ThoughtsTranscript[00:00:00] swyx: Okay. We're here in the studio, a remote studio, with Mikhail Parakhin, CTO of Shopify. Welcome.[00:00:08] Mikhail Parakhin: Thank you. Welcome.[00:00:10] swyx: I don't even know if I should introduce you as CTO of Shopify. I feel like you have many identities. Uh, you led sort of the, the Bing ML team, I guess, uh, uh, or ads team. I, I don't know, I don't know, uh, you know, it's, uh, people va-variously refer you as like CEO or, or, uh, I don't know what that, that, that said previous role at Microsoft was.[00:00:29] Mikhail Parakhin: Uh, that was... Yeah, my previous role w- at Microsoft was the-- I actually was the CEO of one of Microsoft's business units, which included, as I, you know, as we discussed, all the things that people like to laugh about, uh, including Windows and Edge and Bing and ads and everything.[00:00:47] swyx: Yeah, yeah. What a, what a, what a wild time.You've obviously, uh, done a lot since you landed at Shopify. Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi's QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.I think more-- it's just more recent that you guys have been more vocal about your sort of AI adoption. Is that, is that true?[00:01:16] Mikhail Parakhin: Well, I think AI tools in general are fairly recent development, uh, and we've-- Shopify, you know, at this stage of its development, we're developing AI in-in-house and other, uh, building tools that use AI and, you know, interfacing with the wider AI community, uh, you know, are on the sort of the, uh, runaway trajectory.So it just did by sort of natural byproduct. We, we talk about it more also. We just, uh, just even yesterday, Andrej Karpathy was famous in tweeting about, oh, are there some, uh, ways, uh, that, that you can organize your agents to store the data and then, uh, look up the data so that you don't have to research or, or lose context every- Yestime. And a little bit tongue in cheek, I tweeted that, “Hey, we've, we've done it much earlier, and we even have different approaches, Tobi and I.” Tobi, of course, is a big fan of QMD, and I'm more of a SQL, SQLite fan. But, uh, yeah, very similar things that we've already done here. The point is, yeah, we're very dynamic, you know, explosively growing company, and we have to be at the forefront of AI adoption, obviously.[00:02:29] swyx: Yeah. Yeah. Um, you, your team kindly prepared some slides actually that we were gonna bring up on to, uh, the screen. I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on. So here we have, uh- An internal AI tool adoption chart.What are we looking at here? What ?[00:02:54] Mikhail Parakhin: Yeah, this is very interesting statistics. Uh, this is number of daily active workers, you know, think of, uh, DAO, basically the active users of-[00:03:05] swyx: Yeah ...[00:03:05] Mikhail Parakhin: AI tool as a percentage of all the people in the company, right? And then- Yeah ... different AI tools. And, uh, you could see two things here is that one is the green is total.Uh, green is just total. So you could see that it approaches really % by now. It's hard not to do your job now without interacting deeply, at least with one tool. You could see another interesting thing is just as many people commented in December was the phase transition when suddenly models gotten good enough that, that everything took off and started growing.Uh, it, it was many people noticed that the thing is that small improvements accumulated into this big change in Sep- December roughly timeframe.[00:03:52] swyx: Yeah.[00:03:52] Mikhail Parakhin: The other thing I would claim you could see is that, uh, CLI-based tools and tools that don't require you to look at the code becoming more popular, and you could see, yeah, various versions of, uh, Cloud Code and Codex and Pi and internal development tools taking off.Uh, exactly, yeah, uh, and blue is our River, just internal agent for coding, where tools, uh, that require IDEs such as, uh, GitHub, Copilot or Cursor, they're not exactly shrinking, but they're not growing as fast. Like, uh, red, red line is, is the IDE kind of tools. So you could see that they're, they're not experiencing as, as fast of a growth.[00:04:37] swyx: As I understand it, basically, every employee has their choice, right? Of choose whatever tool you use, and then you're just kind of doing a, a daily sur-survey or something.[00:04:47] Mikhail Parakhin: Exactly. And, uh, we- Yeah ... the, the push is to get your job done, you can use any tool, and we effectively fund unlimited tokens for everybody.Uh, we, we do, we do try to control the models that, uh, people use, but from the bottom, not from top. Like we basically say, “Hey, please don't use anything less than Opus four point six.”[00:05:09] swyx: Oh .[00:05:10] Mikhail Parakhin: Some people, some people end up using GPT five point four extra high. Some people use Opus four point six. Um, uh, you know, uh, there are some, uh, there are plus and minuses in going for full one million context window versus not.But, uh, we try to discourage people from using anything less than that.[00:05:28] swyx: Yeah, yeah. Got it, got it. Uh, I mean, uh, that's, you know... The, the next chart here, it really kind of shows the expansion and the sort of December twenty twenty-five inflection, right? That, uh, people are using a lot of tokens. I think it's also really interesting that no one was kind of abusing it in twenty twenty-five.Like it was- Had comparatively, uh, to this year, there was almost no growth. I mean, it's still like, you know, probably, probably gave fifty percent.[00:05:56] Mikhail Parakhin: Yeah. This is just a different scale. It's still exponential- Yeah, yeah ...growth at just a different- ...rate of expansion. Uh, there was inflection point, and Sean, I would claim the, the super interesting part here is that you could see that the distribution becoming more and more skewed.Yes. The top percentiles grow faster. So that means- Yeah ...the people in the top ten percentile, they, their consumption grows faster than seventy-five and so forth. So, uh, the distribution skews more and more towards the highest users, which is... I don't know what it tells me. It's like it feels not ideal, to be honest.Or maybe it's okay. We'll see.[00:06:36] swyx: Why does it feel not ideal? Is, is it because of, um, quantity over quality, or what's the concern?[00:06:42] Mikhail Parakhin: Because take it to the limit. That means, you know, if, if this rate of separation continued- Ah, yes ...a year, there will be one person consuming all the tokens. So it's just, it's kinda strange.[00:06:54] swyx: Yeah, I mean, um, uh, I, I think internal like teaching and all that, uh, will, will help sort of distribute things more widely. But in, in the early days, of course, the people who are sort of more AI-pilled will obviously find more ways to use it than the people who are less AI-pilled. Maybe let's, let's call it that.I'll just, I'll just kinda quickly, uh, pause from the, the... You know, we will go back to the rest of the slides, but I just wanna, um, review, you know, there are a lot of CTOs of, of large companies like yourself where they're all considering some kind of token budget, right? Like I think it's something, something that Jensen Huang has been talking about, where like if your 200K engineer is not using 100K of tokens every year, like they're, they're underutilizing coding agents.Of course, Jensen Huang would say that, but like it seems a very quantity over quality approach and like some, some people are basically saying like, well, is this comparable to judging engineer quality by lines of code, right? Which we also know is like kind of flawed, but better than nothing. So I, I don't know if you have like a sort of management take here on, on how to view this kind of, uh, metrics.[00:08:02] Mikhail Parakhin: Well, I mean, you're, you're baiting me. I, I like... This is my favorite topic. Uh, if you let me, I'll probably talk for two hours on just this. I have a lot of things to say. Like I do think Jensen gotten a lot of bad press saying, “Oh, of course you're, you know, this, uh, the- ...the cake seller says you don't need enough cakes.”You know? Like, of course. Uh, but, uh, I actually, uh, think that's undeserved. I think he, he's actually right. Uh, I do think- He,[00:08:33] swyx: he's directionally correct.[00:08:35] Mikhail Parakhin: Yeah. Yeah. He's directionally correct for sure. Uh-[00:08:37] swyx: Who knows what the right number is? Yeah.[00:08:39] Mikhail Parakhin: The thing that I do Uh, want to say, and this is something that we learned through trial and error and very important is like two things.One is that it's not about just consuming tokens. Uh, you can consume tokens and, and in fact, the anti-pattern is running multiple agents, too many agents in parallel that don't communicate with each other. That's almost useless, uh, compared to just fewer agents and burns tokens very efficiently. Uh, setting up the right critique loop, especially with the high quality models, where one agent does something, the other one, ideally with a different model, critiques it, uh, suggests ways to improve it, the agent redoes it with this critique and, and so it takes much longer.So people don't like it because latency goes up. You know, they, they have to wait until this debate is happening. But, uh, the quality of the code is much higher. And another thing, just since you mentioned like, look, uh, uh, yeah, the overall budget is just like, uh, lines of codes. Lines of codes are exploding for everybody right now, or partially because AI is really mover balls, but partially just because AI can write a lot more code, you know, doesn't get tired.And so you have to have to have a very strong narrow waist during PR review. Otherwise, just the number of bugs will go through the roof. It's, uh, it's this unexpected consequence of the just volume trumping everything. I would claim by now good model writes code on average with fewer bugs than, than the average human.But since they write so much more of it, like more of it will make it into production. So you have to- You still[00:10:26] swyx: have[00:10:26] Mikhail Parakhin: more bugs. Yeah. Have to have a very rigorous PR reviews, also automated of course. But, uh, yeah, that to spend a lot budget there. Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, five point four Pro or, uh, uh, Deep Think from Gemini, you know, checking on PR reviews.[00:10:55] swyx: Yeah, totally. Uh, I noticed in your chart you didn't have any review tools. Do you just use like, like let's say a Claude code to review tools? Or do you have another set of review tools like the Greptiles, the Code Rabbits, uh, Devin Reviews has a review tool. I don't know if you've had those specialist review tools.[00:11:13] Mikhail Parakhin: You are a little bit jumping on my store tool right now because the graphs I was only showing public tools. Uh, uh, the-- I haven't found a good PR review tool that, that does what I think should be done. And, uh, partially my, my thinking is because it's so... It just goes against both what people feel like emotionally they prefer and, uh, some of the, uh, you know, frankly Even business models that, that the companies run.At peer review tool, uh, time, you want to run the largest models. That means, I don't know, Codex or, or, uh, Cloud Code is not gonna cut it. You need to have pro-level models if you really want to, uh, stand the tide of bots from going into production. And you need us to spend a lot of time, the models taking turns, but you don't want, like, a big swarm of, uh, of, uh, agents.So in fact, you end up in a different dual-dualistic world where you generate not that many tokens. You, in fact, generate few tokens, but it takes f-a long time because these are expensive models taking turns rather than many, many agents trying to do many things in parallel. So that's, that's why I feel like I haven't found good tools, so we are using our own for peer review for now.[00:12:33] swyx: Yeah. Yeah. I mean, uh, I think a lot of companies are building their own, uh, especially to their needs, right?[00:12:38] Mikhail Parakhin: Mm-hmm.[00:12:38] swyx: Um, I, uh, you also have a chart here going back to the slides on, uh, PR merge growth, where we're now at thirty percent, uh, month on month rather than ten percent. Uh, and also the, the estimated complexity is going up.You know, this is productivity, right? ‘Cause y- presumably there's more stuff going into the code base and more, more features getting worked on. I'm curious about the backlog, right? Like the, the, the-- I actually don't mind a pro-level model taking an hour or two hours to review my PR, because I've dealt with humans who take a week to review my PR, right?And I keep pinging them on Slack, “Hey, hey, review my PR.” So, you know, I think there's some trade-off here where, like, it still doesn't make sense.[00:13:18] Mikhail Parakhin: Exactly. That, that's exactly m-my point. Uh, that on one hand, you can tolerate longer latencies at, uh, PR. On the other hand, like right now, the real problem is not in spending time waiting for PR.It's real problem is since there's so much more code than- Yeah ... uh, probability of at least some tests failing going up, and then you, like, keep de-failing, then you have to find the offending PR, evict it, retest it without that PR, and so deployment cycle becomes much longer. Uh, so it actually, in terms of the overall time to deploy, it's total time savings if you spend more time on a longer model, like thinking for an hour, because then, then you, you don't have to spend all that time during testing and rolling, you know, rolling back the deployment.[00:14:03] swyx: Yeah, totally. That's still worth it. You know, you don't look at the individual, look at the aggregate, and look at the, the, the change in the aggregate system.[00:14:11] Mikhail Parakhin: Exactly.[00:14:11] swyx: I'm kind of curious if, like, there's this PR mentality and, like, c-- the, the, the CICD paradigm will be changed eventually. Some people are like, obviously a lot of people want new GitHub, but I even wonder if, like, Git is the problem, right?Like, is that the bottleneck? Is the concept of a PR a bottleneck? Do you guys use stack diffs? I don't know if, uh, that's a, like, a merge queue stack diff type of thing.[00:14:34] Mikhail Parakhin: We, we use, we use Stacks, we u- we use Graphite. We worked with, uh, Graphite a lot. Uh, so we use Stack, uh, PRs. I think, uh, like that's clearly the overall CICD in general, and the interaction with the code repository right now is the, clearly the sort of the, the main issue and the bottleneck for us, uh, and highest top of mind.I would say we probably need a different metaphor or different whole design of how to process it in new agentic world. I haven't seen anything dramatically better yet. I, I think everybody right now is just trying to keep their head above the water ‘cause, ‘cause there, there's so many PRs and then everybody's CICD pipelines start creaking, the, the times are increasing, the number of bugs slipping by increasing, and you have to, have to clap on down.And so we are a little bit in this situation when we need to first stabilize that story and then start thinking, hey, what, what it could be a completely different and new world, which I haven't... I know some people working on it. I haven't seen something, like anything super compelling yet, but clearly the old thing were designed for humans will need to be morphed into something new.[00:15:53] swyx: One of the thing that I, I think about is kind of like the merge conflict is basically a global mutex on the whole system, right? And in, in hu- in human organizations, we do have something like that. It's the company standup. But like, other than that, it's like it's actually fitting for us to be somewhat decentralized, somewhat plugged into one stream of information source, but somewhat lossy.Like it's okay, you know, that, that not every delivery is like atomic consistency. Like we're not dealing with a database sometimes.[00:16:27] Mikhail Parakhin: This is a very good point, uh, because since humans don't write code too fast, you know that global mutex is not too bad. Once you-[00:16:36] swyx: Yes ...[00:16:37] Mikhail Parakhin: start writing code at the speed of machine, it becomes the, you know, the bottleneck.Then what do you do? Maybe, and I can't believe I'm saying this because I, I'm long-- lifelong opponent of, uh, microservices, and I always thought that was, like, a really bad idea. And now that you're saying it, like, maybe in new guys like microservices will make a comeback, you know, because then you, you can ship things independently in tiny things and, and the managing all that complexity automatically will be much easier.I don't know. Like, we'll s-- we'll have to see.[00:17:10] swyx: Yeah. I mean, I don't know what the Microsoft or, or Shopify thing is, but I, I read this paper from Google where they have a monorepo that deploys into microservices, right? And then, uh, the other concept that I think about a lot is the Chaos Monkey concept from, from Netflix.Being able to create, like, this robust system where, um, uh, you know, you, you have the service discovery, you have the, uh, the independent, independent microservices discovery and, and, uh, you know, probably going to be a fair amount of duplication. That's how an organic system sort of scales, uh, that, that you have that...I don't know how you call it. Slack? Robustness? Depend-- uh, d-duplication. I, I, I forget the-- I, I'm-- And this-- those-- these are not exactly the terms- Hmm ... I'm looking for, but I c-can't really think of the words. Okay. I was gonna go into Tangent and Tangle. Uh, so, uh, we, we sort of discussed the overall stats that, uh, Shopify has.Uh, but, you know, I, I think some, some pretty cool stuff that you guys are working on is your ML experimentation, uh, and your, your sort of auto tr-research training pipeline. Presumably you're much closer to this one because it's, it's a sort of personal hobby of yours. How, how would you explain them in, together?I thought we have a slide that, like, uh, has the s- the system diagram.[00:18:24] Mikhail Parakhin: Yeah. Tangle first and then Tangent as a-[00:18:27] swyx: Yeah ...[00:18:28] Mikhail Parakhin: as a thing on top of Tangle. And, uh, Tangle is the third generation, I claim, of, uh, systems of, uh, running any data processing, but a bit with a skew for ML experiments, but not necessarily. Any sort of data processing tasks where you need to iterate, share, and you have scale so that you want maximum efficiency.You know how, like, normally you would work, you would-- Imagine you're a data scientist or an ML practitioner, you would get Jupiter notebooks or, or maybe you would get, uh, you know, Pyth- your Python scripts, and you would manage the data, and you produce those TSV files, and you put them in some JFS or something.Then you would notice that, oh, it has this, uh, weird missing values. You go and write another script that, uh, goes and replaces them with, uh-[00:19:20] swyx: Ah ...[00:19:21] Mikhail Parakhin: dash S. And then, then you, then you run some, some, uh, “Oh, I need to filter bots.” And so you run some light GBM model that, uh, removes the bots. And then, then you like-- And then you, you kind of like get into shape, and then you start experimenting, and you run multiple experiments, and then you're like, “Oh my God,” like, “this experiment is worse.”You undo, and you cannot get to previous result. And like, “Ah, what did I do?” Like that. Again, then, then you finally like get everything working. Then you like start throwing it over the fence to production. You, you replicate it, those things don't work, and then sometimes you like don't notice that you forgot some feature naming and the, the features don't match.But then, like imagine you, you did everything, and then six months later you're like, have to repeat it because now there's more data, or you wanted to do another pass, and you're like, “What, what did I do?” Or like, or like, “This script crashes now,” or the, “the path has changed.” And then, then you're trying to, like you spend another month just doing ar- digital archeology on your own, you know, history, right?Now multiply that by many, many teams. Now imagine you got an intern that you wanna ramp up. Now you have to show that intern, “Oh, you know, look, here's the folder, there's the scripts, you know, ask your cloud agent to do, and then, uh, to, to figure it out.” And then cloud agent does something, and then you're, “Ah, yeah, right, right, it was the wrong folder.I forgot to tell you, I actually have this other thing I forgot myself.” And, and that's, that's the, like, the daily life we all, uh, all know it, uh, if, if you're a data scientist, machine practitioner, ma- machine learning practitioner or, uh, or even like any data managing, uh, person.[00:21:00] swyx: Yeah. So I, I used to do this, uh, f- uh, on the quant finance side, uh, in, in my hedge fund.So we did this before Airflow, and then, uh, obviously Airflow came along and, uh, then more recently Dagster, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a pipeline.[00:21:19] Mikhail Parakhin: And that's, that's very good segue because... So Airflow is great, but Airflow is more about you, you have something and you wanna repeatedly run it in production on schedule.It's less about you as a team developing things and being able to share, and you grabbing the standard pipeline and saying, “Hey, I wanna change this tiny little component in the huge sea of data processing, and I don't wanna-- I wanna run ten experiments on this, and I wanna do hyperparameter optimization.”All that is very hard to do with Airflow. It's very easy to do with Tango. Tango is m- more about, it's everything about group of people Running experiments, it might be agents too nowadays. Uh, running experiments cheaply, collaborating, sharing results. Uh, you don't need to understand fully. You, you grab-- you clone somebody else's experiment or somebody else's pipeline, uh, run, uh, change small piece, run it, be, like, get it to production state, and then ship in one click.So then the... You don't have to port it into any other system to, to run in production. You can just run the same experiment. It's, it's fully production ready. And, and it's, uh, it has lots of... Again, as I said, it's third generation system. The original one was, I would claim there was Ether and then, uh, at least in my career, Ether was the first, first, uh, that pioneered this type of approach.And then there was, uh, Nirvana, which, uh, uh, at Yandex, which did kind of sec-second take on this. And now this one aggregates the, the learnings from all of those and, and Airflow as well to, to get to the state where you try it, it, it feels kind of magical. Uh, ‘cause now everything is based on content, uh, hashes.So even if the version changed, but if the output didn't change, nothing is being rerun. It's very efficient. If you... Multiple people start experiment that needs the same sort of data preprocessing, it's not repeated multiple times. It's automatically done only once. If you start ten experiments that all require, you know, some, some data preparation first as the first step, and you don't have to coordinate for that.Like, you don't have to know that other people are starting it. You now, it's very easy compos-, uh, composability, any language you can u- uh, you wanna use, and it's very visual. So you can see immediately, you can edit it easily, you can assemble small things with just even mouse clicks if you want to, and, uh, share, clone.And everybody knows also it's fully kind of static in the sense that we rerun it second time, it will exactly have the same results. Like, you will never have to do digital archeology. So full versioning and everything is also there.[00:24:06] swyx: Uh, so, so people can, uh... It's open source. Go to the GitHub repo and, and, uh, check it out.Uh, and it is also a really good, uh, blog post about it. I think all these is, like, really appealing. The, the, the, the thing that I think sells me the most about it is that, um, sort of development to production transition, right? Which I think, um, a lot of people haven't really solved that, uh, strictly, right?Like, we develop really, really well in, in Python notebooks, but then, you know, that's obviously not a sort of production ready process. I think that, like, any way in which that is solved, I think is, is very appealing. Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.Uh, it surprised me that the savings could be this much, but maybe I just haven't worked at your scale where there's so much duplication, uh, that people just rerun because they change a single ID upstream.[00:25:10] Mikhail Parakhin: It does, yeah. But it's not only you rerun. The, the main savings are coming from the fact that you ran it, you got your job done, and you moved on.Then- Yeah ... somebody else in some department you don't know existed runs the same task, but on a newer version.[00:25:27] swyx: Yeah.[00:25:27] Mikhail Parakhin: Like right now, you can't, in, in most of the organizations, you can't even find out about it so that you can't even measure that you're spending that time twice, right? Here- Yeah ... if everybody's on Tango, that's detected automatically and detected that the output is the same.And then for that person, all it looks like is like experiment just suddenly moved, jumped forward, right? Uh, uh- Yeah ... so that's because, because the, there's network effect of multiple people helping each other.[00:25:51] swyx: Yeah. This is one of those things where it's designed to be a platform from the beginning rather than an individual developer's tool from the beginning, right?And, and everything's gonna streams down from there. That is the sort of Tango, uh, orchestrator, and it's, it manages jobs. We've seen a few versions of this, and this is obviously, uh, uh, the sort of, uh, unique approaches that you guys have, have, uh, figured out. And then there's Tangent.[00:26:14] Mikhail Parakhin: Yeah. And Tangent is basically an automatic auto research loop that can help and kind of do your work for you.Uh- ... you know, uh, effectively, effectively, Andrej Karpathy recently popularized it with auto research. Yes. Remember he said like he was, uh, speed running this, uh... Yeah, uh, you know the story. The, here we're basically bringing the same capability into Tango so that, uh, the, uh, Tangent can analyze it. It's just an agent that can run multiple experiments, figure out what can be changed, and keep on rerunning it, keep on modifying until, uh, maximizing some goal, some loss function, whatever you need to, to achieve.And in general, I would say if you're not using auto research-like approach in whatever you do, like literally whatever you do, then you're missing out. We saw at Shopify that taking like a wildfire, anything where you can put measurements can be done dramatically better. Our-[00:27:19] swyx: Mm-hmm ...[00:27:20] Mikhail Parakhin: uh, speed of, uh, templatization HTML, uh, completely new UX tem- uh, templatization of, uh, reducing latency for liquid themes.Uh, we-- Our, uh, search, uh, recently we moved from It's hard even, uh, quote from eight hundred QPS to forty-two hundred QPS with the same quality just by pure optimizations and not a research loop that kept running and changing code in our index serve on the same number of machines, just increasing the throughput.We, we managed to improve the quality of gisting and machine learning process. Uh, you know, gisting is the prompt compression technique that[00:27:59] swyx: allows for[00:28:00] Mikhail Parakhin: lower latency and, and lower and, uh, actually higher quality slightly. So like literally whatever different walks of life, and it doesn't have to be AI related.Uh, we, we had a reduction in, uh, storage because the agents would go and find data sets that clearly are derivative, uh, and then you don't need to store things twice. You know, we, we, we found somewhat embarrassingly that it was one of the largest tables was hashing random IDs into another random ID, and we literally- Oofput only one. So it was translating, yeah, two random IDs hashed[00:28:36] swyx: into[00:28:37] Mikhail Parakhin: each. So, so[00:28:37] swyx: it has access to the code as well, so it can, it can check the, like what, what the hell is it doing?[00:28:42] Mikhail Parakhin: So there, there cou- it could be run in two levels. You, uh, you know, at the superficial level, it could just use ex-existing components and, uh, reshuffle them.Uh, you know, like you can grab- Yeah ... uh, XGBoost, and you can grab some, some Py- PyTorch module, and then can grab some, you know, grab another tools and, and combine them. At a deeper level, since Tangle is all sort of CLI based underneath you, every, every component is a wrapped really CLI, uh, call and a YAML file, it can analyze code and create new components and, and, uh, keep on iterating as well.So, so you can, you can both have quick modifications of existing t- uh, pipelines with the, with components that are already there pre-baked, or you can create new components, uh, and-[00:29:29] swyx: Yeah ...[00:29:29] Mikhail Parakhin: keep iterating on those. So auto research is, again, this is probably the, the thing I was excited the most in the last two months happening, and we see it taking like, like totally like a wildfire.Just, uh, everybody, every day, every... well, every day, every minute, I would, uh, have somebody Slack message saying, “Oh, look how much better I made it.” And, uh, it's all throughout the research.[00:29:53] swyx: Is this democratized in some way in, in the sense that like is it your ML, uh, engineers and researchers doing this, or is it your regular PMs and software engineers also have the ability to auto-- to use Tangent?[00:30:07] Mikhail Parakhin: This is an awesome question. Like, Tango in general and Tangent in particular are extremely democratizing. Like they- Yeah ... they are the main tools for- ‘Cause I don't[00:30:15] swyx: need the details.[00:30:16] Mikhail Parakhin: Yeah. Exactly. Initially used by ML and AI engineers, but then literally, as you said, PMs are like the highest user right now is one of PMs on our org, uh, Sartak and he was, he was number one by, by usage of, of this ‘cause they're just, uh, energetic and knowledgeable, and now it, it unlocks a lot of capability where you don't have to co-change code manually.[00:30:39] swyx: I mean, I mean, because it kind of cuts out the ML, ML engineer from the process because the, the, the PMs have the domain knowledge and the ability to think about, uh, from first principles about, okay, what, what results do I want? And they can-- they even have the access to the data that, that needs to go in.So it's like in some ways, like this is the magic black box that we've always wanted for, for training and, and for, uh, I guess, uh, uh, hill climbing, whatever.[00:31:04] Mikhail Parakhin: It's basically cloud code for your AI development- ... uh, situation, right? Like now, now you don't have to know exactly how algorithms work. You can just, uh, bring your domain knowledge and expertise and product knowledge and iterate within Tangent until you've gotten the results that you need.[00:31:21] swyx: In my previous roles, every time that someone has pitched AutoML, you know, I've always been like, “Uh, this is not, this is not gonna work. It's, you know, it's, it's always gonna be a flop.” Somehow it's working now. I mean, presumably the answer is now we have LLMs and it's good enough, right? It's, it's an emergent property that we can do auto research, but like, it doesn't feel that satisfying that how come we didn't do this before, right?Like we just did like parameter search and like, I don't know. That's maybe that's it.[00:31:48] Mikhail Parakhin: Yeah. Bayesian optimization and hyperparameter optimization was, was the one that, or facet of AutoML that was used very actively, which incidentally also built into, uh, Tango. But, you know, I know Patrice Simard very well, and, uh, he was such a, uh, such a proponent of AutoML, and he put, like literally spent careers trying to democratize it.Without LLMs, it just turned out to be very hard. Like it, you, you would have flexibility within certain narrow domain, but it was hard to wider scale, and now with LLMs suddenly it's like magic wand, and so suddenly everybody- ... is an AutoML expert.[00:32:28] swyx: Yeah, I, I think it's multiple things, right? Like I'm, I'm just gonna bring up the, the, the chart again, right?Like LLMs can do the monitoring very well. That is the very potentially unbounded, super unstructured. It can do the analysis very well, it can do the... Uh, and basically it is much more intelligence poured into every single step. Uh, there's maybe nothing structurally changed about AutoML, but this is just m-more intelligent and more unstructured.[00:32:53] Mikhail Parakhin: Exactly.[00:32:54] swyx: Any flaws that you've run into? Like everyone is like drinking the Kool-Aid, oh my God, time savings, uh, you know, performance improvements. Like what, what, uh, issues have you have, uh, come up?[00:33:06] Mikhail Parakhin: This is really cool. It's not a solution to all the world's problems for sure. The limitations are usually the ones I-- And this is where we get into a bit of a subjective territory.Uh, I can only share what I've, I've seen so far, and I'm sure the situation, uh, is changing, and, you know, maybe after I say it, like many people will reach out and say, “Hey, what about this?” And you don't know that, and then, then we'll be probably right. But what I've seen is auto research is very good at doing kind of obvious things that you don't have bandwidth to do or you didn't notice or maybe you're not aware of like the-- some standard practices.It is not good at doing something completely out of distribution, something that, you know, you have to think for, for multiple days, uh, and, and do something like none of this. So, so it's, uh, I, uh, set an experiment once, uh, on, on my sort of, uh, hobby thing, and I let it run for, uh, ended up, uh, several weeks run, uh, you know, it's like full production kind of scale, so it, you know, slow runs and, and it ex-- it performed in the end, uh, over four hundred experiments, and only one was successful.I'm like, “Okay, that's, that's good.” But-[00:34:18] swyx: But it saved time.[00:34:19] Mikhail Parakhin: Yeah, I saved time. Like it, it was the, that thing. Yeah, if I, if I were doing four hundred experiments myself, my betting average, as I said, would have been much higher, I'm sure. But also, first of all, it would take me like three years to do four hundred experiments.And, uh, I didn't have to do them. Like the machines were just, uh, the price of electricity did that. So, and I got one improvement, uh, that in, uh, my, my-- Honestly, when I was starting that experiment, my thinking was to go and show that, “Hey, Andre, maybe you just don't know how to optimize.” And I was super smart because in, in my pro-problem, it was optimized for many years, and it was like fully improved.Uh, and I didn't expect it, you know, auto research to find anything at all. Yet it did. So instead of making fun of Andre, I ended up, uh, a big, big supporter. Yeah, that's exactly the tweet. Yes.[00:35:10] swyx: You and Toby really, really go back and forth on-online a lot, which is really funny. Uh, think of it as, as an eval for the optimalness of the code it's running on.Uh, it's almost like it reminds me of like a Kolmogorov complexity thing, but, uh, I guess it's-- there's some optimal thing that you're trying to sort of reduce down to, I guess. Um, and so, so you, you, you know, you should congratulate yourself that you had, uh, you know, uh, ninety-nine percent, uh, optimality.[00:35:36] Mikhail Parakhin: Exactly, yeah. I think Andre really deserves a lot of credit for popularizing this approach. This is, uh, this is incredibly, I think, powerful and cool and You know, the, uh, even him, him just mentioning it led to a lot of gains in a lot of places in the industry, so we should be thankful.[00:35:56] swyx: Yeah. I think he also has a just...I don't know what it is. Like, um, you know, it, it is a simple self-contained project that people can take and apply to other things, which is, is, is one thing, but also just the name. Just like somehow no one, no one managed to call their thing auto research. It's just naming things is very important. I think that that is mostly, uh, our coverage of Tango and, and, uh, Tangents.I think obviously, you know, there's a lot of, uh, ML infra at, at Shopify that people can, uh, dive into. We're about to go into SimGym, but before I do that, any, any other sort of broader comments around this whole effort? Like where is it, where is it leading to?[00:36:36] Mikhail Parakhin: As a segue to SimGym, like all those things start composing strongly.And, uh, you could see a huge unlock when you can look at each one of the tools and, and you see, oh, they're extremely useful. Uh, Tango is useful by itself. Auto Research is useful by itself. SimGym is useful by itself. If you combine all three, you create like synergetic effect. I think that's why we wanted to even, uh, cover them today is because this is something that if you go back even, you know, five years ago, would've been unthinkable.Uh, replicating that, uh, would, would be either incredibly costly or impossible, right? With probably thousands of people are required.[00:37:20] swyx: Well, we have serverless human, uh, serverless intelligence, right? Like, uh, so yes, you do have thousands of hu-- of, of intelligences, not just, not humans. And that's, that's close enough, right?Even if they're not AGI, they're, they're close enough to do the, the task that you need them to do. And, and, you know, that's, there's plenty for, for a lot of routine work, knowledge work. Okay, let's get into SimGym. Um, this is one of those things I, I was surprised to see actually it's apparently your, uh, one of your most popular launches, and I think something that, uh, I think Sim AI, I think Yunjun Park, who did the Smallville thing, there's a very small cottage industry of people trying to do like the simulate customer thing.I think a lot of people maybe don't super trust this yet because they're like, well, obviously they would just do what you prompt them to do, right? But maybe just think, uh, tell us about the sort of inspiration or origin story.[00:38:10] Mikhail Parakhin: That's exactly actually the thing I wanted to cover, because if you don't have the historical data, all you can do is prompt a-agents in a vacuum, and they will do exactly what you prompt them to do.In fact, when I first proposed it, and this is a bit of, um, my brainchild initially, if I, I can boast, even Toby said like, “But wouldn't they, they just repeat what, what you tell them?” And, uh, but I'm like, “Yes, except Shopify has decades of history of how people made changes and what there is, uh, there, what it resulted in terms of sales.”So now what we can do is we can-- we have this... It's not, it's a noisy data. There's a small, usually websites, uh, you know, like things, things are never in isolation. It's almost never AB experiment. It's always AA experiment when there's has two meanings, but basically, you know, in different time you run two different things.But if you aggregate in general, uh, like everything together, and you apply, uh, denoising and collaborative filtering like approach, you can extract a very clear signal. And then you can optimize your agents. And that's why it took so long. It took almost a year of that optimization of just us sitting and fiddling, and, and we had this internal goals of correlation of hitting-- internal goal was to hit zero point seven correlation with, uh, add to cart events, for example.Like that, that if we run real AB test experiment, that it should, it should go and, and rep-uh, replicate, uh, same sort of success that, that humans had or lack thereof. And it, it took forever, and I don't think that's easily replicatable because, uh, like who else would have that data? You have to have this historic, you know, decades, uh, worth of data.And now, now the, like the other thing you need is in-infrastructure and the scale, right? Because, uh, w- again, what we found, uh, stat sig results, you need to run a lot of simulations, a lot of agents, and, and it's-- Those are expensive things. Like you're, you're making actions in the browser because you want a real friction.You want to, to be able to get the image like of what humans will see because you wanna, uh, detect effects like, “Hey, if I make my images larger, will I have more sales or l- uh, fewer sales?” And like usually people's intuition here, by the way, is that I increase my images, I will have more because they look nicer.You know, designers all look sparse and big images. Like usually your sales tank, right? But, but, uh, you know, from HTML, all the characters look the same only the, the size tag looks different, right? So it's very hard. So you have to take visual information, you have to run this in simulated browser environment on the big farm and, and of course, you have to have, uh, like very, very expensive model, good model with multi-model model.So all this it's-- is what's taken so long and, uh, to share my personal fail a little bit there, Sean, is like, you know, we always had this bias to-- for like large company bias. You know, we always, uh, whenever you-- we do, we're like, “Hey, we'll run an experiment,” right? We make, make a change, and we will run an experiment and then, uh, see, uh, see which one's better or like, “No, this is worse,” and most of them are worse, so you discard it and keep iterating, hill climbing.And we're like, “Oh, like smaller merchants, they cannot get stat sig results. They cannot really run experiments simply because, you know, in a week there would be not enough data for them.” So we thought from this perspective. What we didn't realize is that most people don't have A and B, they just have one thing, and they need suggestions of What A and B should be.So, uh, we first build this, hey, we run simulation on two separate teams and, and, uh, say, “Hey, which one is better?” We then morphed it into, and very recently just released it, when you have just your site, your theme, we run over it and we say, “Hey, here's what predicted values of, of, uh, uh, conversions are, and here's how we think you should modify it to increase your conversions.”And then circling back to what you started with, the proof is in the pudding. Like, if we are not correlating with reality, like, people will not be using it. And, uh, thankfully, we see literally every day more users than the previous day. So, so right now, uh, right now- It's working. Yeah. I'm-- Right now my problem is how to pay for it all because the so our major thing is how to optimize the LLMs, do distillation, how to run the headless browsers, uh, and handful browsers, uh, uh, cheaper so that we can accommodate the increase in traffic.[00:42:47] swyx: Yeah. I, I understand that you, uh, you published a lot of technical detail at GTC, so I was just gonna bring it up a little bit. I think s- was this in, in con-conjunction with some kind of GTC presentation? Or something like that, right?[00:42:59] Mikhail Parakhin: Well, we, yeah, we, we did it in several place, but yeah, we had the engineering- Yeahblog, uh, as well. Yeah.[00:43:05] swyx: Yeah. So you're running, uh, GPT OSS. Uh,[00:43:08] Mikhail Parakhin: the, this is an older version. You know, now we run multimodal model. But yeah- Yeah ... GPT OSS, we still run GPT OSS as well for[00:43:15] swyx: And then you have the VMs, and you also have browser-based. I really like this one where it you said, “It violates almost every assumption that standard LLM serving is designed for.”And then you had like, basically orders of magnitude differences between everything.[00:43:29] Mikhail Parakhin: Exactly. Which is, which, uh, which was, you know, a bit of a challenge to implement, like when, like even simple things. Uh, be- since it violates all the assumptions, for example, multi-instance GPUs, like MIGs don't work as well.But we needed, uh, to get MIG to work because, ‘cause otherwise it's way too expensive. And so we had to deal with the, yeah, with, uh, lots of infrastructure and, and, uh, work with, uh, uh, Fireworks and CentML, uh, you know, to help with optimizations and browser-based, as you mentioned. Yeah, like, takes a village.[00:44:04] swyx: Okay. So there's a lot of like, I guess, experimentation in the infrastructure so far, and you've published more or less what you have here. I guess I'm, I'm less familiar with CentML. I, I don't do, uh, that much work in this, this part of the stack. But why was it the sort of preferred instance platform?[00:44:22] Mikhail Parakhin: There are really three probably top companies. There used to be, uh, uh- Three top companies, uh, at least I was aware of that did, uh, LM optimization. You know, together Fireworks and Santa ML, not necessarily in that order. Santa ML recently got acquired by NVIDIA. Uh, what they did is if you have a model and you want to optimize it to a specific prof-- uh, profile of usage, uh, they would go and do it.And, uh, we work with, with those companies, uh, this was work particularly in with Santa ML and NVIDIA to get them the best possible results out of it. And, and sometimes you, you have to retune depending on, like sometimes you want the maximum throughput, sometimes you want minimal latency, sometimes you want like the cheapest, right?And, yeah, or some combination. And so yeah, these are people who would come and help you.[00:45:14] swyx: I see. I see. Yeah, yeah. I'm familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there's a lot of diffusion as well.[00:45:38] Mikhail Parakhin: Exactly.[00:45:38] swyx: There's a lot here, so I, I, I... it's, it's, uh, it's, it's, it's hard to cover. But I, I do think like people underappreciate the importance of customer simulation, basically. I think this is something that I'm candidly still getting to terms with. Uh, you know, uh, you also-- your team also like prepared this, like, really nice diagram.Uh, I, I assume this is AI generated.[00:46:00] Mikhail Parakhin: Yeah, it looks-[00:46:01] swyx: Maybe it's not.[00:46:01] Mikhail Parakhin: Yeah, it looks, uh, Gemini-ish. Yeah, but, uh, uh, honestly, I, I don't know where, where the hell they generated. It looks, look, uh, looks like it's, uh, Google. But the interesting part, John, that, that, uh, we haven't covered, but I, I wanted to mention is if your store had previous customers, rather than it's a new store, you're like new merchant just launching things, it helps tremendously in just correlation and forecast.Yeah, we take your previous, uh, customer's behavior, and we create agents that replicate those specific distribution of, of customers that you get, and then we a- we apply those to your changes, and then that, that raised raw, you know, the re-- uh, just correlation with the add to cart events or to-- with conversion or whatever it, it, it may be, uh, quite dramatically.So, uh, replicating humans in general seems like an interesting, cool challenge.[00:46:58] swyx: As a shareholder, I think this is the-- like if people are Shopify shareholders, they should really deeply understand this because this is basically the moat. The, the more you use Shopify, the more it will just automatically improve, right?Like you're, you're doing the job for them.[00:47:13] Mikhail Parakhin: Yeah, that's what we started with. Like, uh- ... uh, otherwise, if you're just a startup, I wouldn't do it if, uh, you know, if it was my startup because Without the data, it, yeah, as, as you said, it's, it's exactly the case that, uh, whatever you say in prompt, that's, that's what the agents will be doing.[00:47:30] swyx: The statistician in me wants to like really satisfy the sort of, um, statistical intuition, I guess. Um, to me it's kind of, uh, the, the word that comes to mind is, um, ergodicity. Uh, so let's say a, a customer takes this path, customer takes this path, customer takes this path, right? Um, the... In my mind, the way I explain it is like, okay, here, here's the ninety-five percentile, here's the five percentile, and here's the median, right?Um, but to me, what SimGym is potentially doing is that it can, uh, modify... It can sort of model the sort of in-between sort of journeys as well, that, that maybe are dependent on the previous states. This may be like a very RL-type conclusion where like basically the summary statistics, if you only did naive AB testing, you only have the, the statistics at, at, at a certain point, and you only judge based on the sort of overall summary statistics.But here you can actually model trajectories. Does that make sense? Or-[00:48:31] Mikhail Parakhin: That makes total sense because like, well, that, that makes even more sense that maybe even you realize bec- because-[00:48:38] swyx: Okay. Please,[00:48:38] Mikhail Parakhin: please. Yes ... we do-- Yeah. The, so internally, uh, we have this system, we talked about it briefly once at NeurIPS.We have a huge HSTU-based system that models the whole companies, uh, and their possible paths. And like- Yeah ... what you are, what you are showing, like actually at any point of time, you can either model the user's behavior or you mo- can also think about, uh, the whole merchant as a company, as the entity that acts in the world.You can model that as well. And then you can do, can do counterfactuals. In your graph, like in your blue graph, uh, if you're... Imagine in the center there, uh, somewhere in the middle, you would have an intervention. I give that person a coupon, or I don't know, I send a personal thank you card, or give a discount in some- somewhere.And then you can, uh, then you can do forward rollouts from that counterfactual. So what would have happened with that intervention or without the intervention? And you can even ch- change where that intervention, uh, in time can happen, right? Like some- where, where in this journey. So we, we do this at the Shopify scale for our merchants, and then if we notice that something that they can be fixing, like there's a strong counterfactual, like we have Shopify policy, they basically get a notification like, “Hey, we think your...something is wrong with your-” I don't know, Canadian sales. Like, uh, it looks like it's misconfigured. Here's what you need to do. Or do you think like, uh, you have to set up this campaign with these parameters? And we do that at the buyer level to literally offer discounts or cashback or, or things to buyers.So this is-- I'm getting very excited. Like this is my sort of area of, uh, interest, I guess, and, and hobby. But being able to m-model something complex as human beings or companies and model counterfactuals on it, where you can have interventions in the future and optimize when to make intervention, what kind inter-- uh, what kind of intervention to make.It's such an unlock that previously was completely impossible. Like the-- it was, it was always dreamed of, but never... Like how would you even simulate it without LLMs or HTUs? I think very, very exciting times.[00:50:59] swyx: I just wanted to, uh, to maybe illustrate this. I, I'm not the best illustrator, but I, I am a conceptual statistics guy.And y-you know, you cannot just do this. Like this is a dimensionality AB test doesn't do, right? Like, uh, because it doesn't have the, the, the change over time, uh, stochastic nature, uh, and it doesn't have the sort of contextual like... Here's all the context to this point. Um, okay, cool. Um, that's SimGym.You're, you're gonna burn a lot of tokens on this thing. But you're, you're one of the, the only scale platforms in the world that can, uh, that can do this across a huge variety of workloads, right? I'm even curious on a sort of human, uh, research level of like, well, do, does retail behave d-differently from like clothing sales?D-does that behave differently from electronic sales? I, I don't know. I don't know what else you guys... The Kardashian shoppers, do they differ from like people who buy, uh, I don't know, cars and, uh, whatever.[00:51:55] Mikhail Parakhin: Well, very different, and different sensitivities and different modes of, uh, shopping and, and different levels of what's important.Now, to-totally, you can do aggregations at, uh, at a store level. You can do aggregations at a different, uh, category level. I don't know if, uh, you know, for our statisticians among us, I couldn't believe, but we-- recently we're looking at it, and we had to bring back, uh, CRPs, you know, Chinese restaurant process.It's a, like, way of aggregating and, like, naturally grow clustering. So across... Specifically to answer questions that, uh, like you were just posing on how, how if, if buyers behave different categories. And I'm like, “I haven't seen CRP since two thousand and one.” It's[00:52:37] swyx: so What? It's so- What is... No, I haven't, I haven't seen this.No. This is not in my training. Uh,[00:52:44] Mikhail Parakhin: but, but yeah, it, uh, uh, it actually, like the, the-- there was a very popular kind of theory, popular neurips HTML circles in early two thousands, uh, kind of nice. And now, now it has practical applications, uh- Yeah ... that we were resurrecting.[00:53:03] swyx: Yeah, amazing. Uh, I, I can see, I can see how this is like a, uh, a fun job for you where you get to apply all these things.Um, yeah, yeah, so super cool. Super cool. So, okay, so, so anyone who, who knows what CRPs are and has always wanted to use them at work, uh, they should, they should definitely join Shopify. Okay, so w-we have a lot and but I, I'm, I'm being mindful of the time. I, I do wanted to, to sort of cover some other things.Um, I-I'll give you a choice, UCP or Liquid?[00:53:30] Mikhail Parakhin: Liquid. I think, I think on UCP, you know, like UCP is very important for us and, and it just we are-- UCP, we have a structured, uh, discussions, and you can read about them, and we have, uh, blog posts, and we have a big release this week, in fact, like with our catalog.Oh,[00:53:46] swyx: okay.[00:53:46] Mikhail Parakhin: Uh, yeah,[00:53:46] swyx: but- Le-I mean, we, we can, we can discuss the, the, the release briefly because we'll release this after the-- after it's already announced so whatever. There's a catalog that you guys are doing?[00:53:55] Mikhail Parakhin: Yeah. So we are, we are- Okay ... we are bringing in capabilities of a whole, uh, Shopify catalog.Basically, you now you can search for products, you can do lookups by specific ID, you can do bulk lookups when you need to bring m-multiple products. You don't need to know in ad-in advance what you're trying to show or to sell or check out. Like, you can now, you can now have this decided at, at runtime, and this big area for investment for us for both non-personalized and personalized searches, trying to provide basically a win-window into whole universe of products that are being sold everywhere in the world.And Shopify is really not exactly, but almost like a super set of any-anything being sold. Now we are bringing it into UCP and, uh, and, uh, identity linking is another big thing for us, uh, so that you, you can use, uh, like Google or whatever, whatever identity you have, uh, they're minimizing friction.[00:54:56] swyx: Yeah. So[00:54:57] Mikhail Parakhin: yeah, big release for us.But Liquid AI of course we never talk about, and the problem might be more, more aligned with what we d-discussed previously on this chat.[00:55:07] swyx: Sure. The main thing that everyone understands about Liquid is that it is inspired by Worm, and I still don't know why. I'm curious on your explanation. I think you, you, uh, you can make things very approachable.And also I think like what is the potential of like the, the level of efficiency that you get out of Liquid?[00:55:23] Mikhail Parakhin: You- we all familiar with transformer architectures. And, uh, for the longest time, there was a competing architecture, it's called the state space models. So, so Sams, uh, you know, Chris, Chris Reyes, one of the pioneers and, and lots of startups, uh, trying to make those realities.They have, uh, significant benefits being main being, uh, being much faster and, uh, lower footprint and not quadratic in length, you know, sort of, uh, linear in, in, uh, in your context length. But with state space models- They never quite made it. Like they're used-- They have, uh, certain niches when they thrive, their hybrid architectures are useful, but they never quite made it.And liquid neural networks are, you can think of them as a next step, like, uh, sort of, uh, state-space model square. It's non-transformer architecture that's more complicated than sta-state space and really difficult to code if you-- if I'm being honest. But it's, um, very efficient. It's, uh, subline-- sub, uh, quadratic in, in length of your context.Uh, it's very compact way to represent things, and that's a liquid AI company. They... Their goal is to productize it, and very often you have this need, uh, when you need to have long context and small model, and you want to have low latency. Like in general, it's basically on par with transformers, and if you do hybrids with transformers, it's, it's even better.That's why we at Shopify, when we tried multiple and we constantly try multiple models, multiple companies, we found that for small, particularly with low latency applications, when you have low latency and/or if you need longer context lengths, liquid was the best. And so we still use the whole zoo and always like obviously test and use everything, uh, every open source model and, you know, it feels l

What if you could sell a business, get it handed back to you for $100, flip it again for a profit -and use that whole experience to build something even bigger? That's not luck. That's Qayyum Rajan. In this episode, Jaryd sits down with Qayyum -founder, developer, and holdco builder -who turned a single LinkedIn cold message into a PE exit, watched that same PE firm quietly forget his business existed, bought it back for $100, and relisted it on MicroAcquire while two buyers bid against each other in real time. But here's where it gets really interesting. After the exit, while everyone else was running away from content sites -Google had just torched their traffic with the helpful content update -Qayyum was running toward them. Buying burnt-out founders' blogs for $10K–$50K. Merging them. Building newsletters nobody had touched. Going faceless on YouTube. And quietly turning the whole thing into a cash-flowing media holdco that made back its entire investment in nine months. You'll learn how he evaluates and closes acquisitions in under 24 hours, why "domain authority and love" are his two non-negotiables, what it actually looks like to consolidate three sites under one domain without destroying the traffic -and why he thinks the biggest opportunity in content right now is hiding inside the businesses everyone else already walked away from. Most buyers wait for the perfect business. Qayyum just knows how to read the ones everyone else missed.

Favour Obasi-ike, MBA, MS breaks down the relationship between SEO and PPC advertising. He explains that while PPC provides short-term visibility and acts as a catalyst for brand awareness, SEO builds the long-term foundation that makes ads more cost-effective. Favour emphasizes that these two strategies should not be siloed; instead, they must work together. By ranking organically for specific keywords, businesses can lower their ad spend for those same keywords. The conversation also touches on the importance of content pillars, Google Search Console, and the value of organizing your digital assets to prevent overwhelm.Who is this for?Business owners, digital marketers, and entrepreneurs looking to understand the differences and synergies between Search Engine Optimization (SEO) and Pay-Per-Click (PPC) advertising. It's highly valuable for anyone wanting to build a sustainable, long-term marketing strategy while leveraging short-term wins through paid ads.Key Moments & Timestamps01:42 — The Core Difference: Understanding SEO (Search Engine Optimization) vs. SEM/PPC (Search Engine Marketing).03:34 — Short-Term vs. Long-Term: Why PPC is for short-term wins and SEO is for long-term sustainability.06:00 — The Synergy: How ranking organically for a keyword lowers the cost of bidding on that same keyword in ads.11:10 — Cross-Platform Strategy: Connecting your website to Google Search Console and Pinterest to build domain authority.32:47 — Tracking Success: Using Google Alerts and Search Console to track brand mentions and backlinks.107:41 — Final Takeaway: Organize your content pillars and don't feel overwhelmed by the technical aspects of SEO.FAQsQ: Should I focus on SEO or PPC first?A: You should focus on SEO first to build a strong foundation. PPC is a catalyst that drives immediate traffic, but if your website isn't optimized organically, you will end up paying higher costs per click over time.Q: How long does it take for ads to mature?A: Depending on the platform, it typically takes 7 to 28 days for an ad campaign to exit the learning phase and mature based on the target audience.Q: How do SEO and ads work together?A: When you rank organically for a specific keyword (e.g., "real estate planning") on your website, Google recognizes your authority. When you run ads for that same keyword, your cost per click is often lower because the destination link is highly relevant and authoritative.Action StepsBuild Your Foundation: Ensure your website is connected to Google Search Console so search engines can index your pages.Align Your Keywords: Use the same keywords in your organic content (URLs, titles) that you plan to bid on in your PPC campaigns.Set Up Alerts: Use Google Alerts to track when your brand or business is mentioned online to monitor your growing authority.Organize Content Pillars: Structure your website content into clear pillars and clusters to make it easier for both users and search engines to navigate.Book a Consultation: Reach out to Favour at info@playinc.online or favour@playinc.online to hire his SEO agency and streamline your digital marketing strategy.Ready to Rank? Book Your SEO & Web Dev Services Today

Round the corner, not far away Bing is going paddling today. With inflatables and a picnic packed away in wheelie they're all set for an incredible day, that is until they arrive at the pool.

Favour Obasi-ike, MBA, MS and guest speakers (including Celese Williams and Rocki) discuss the problem-to-solution framework of converting traffic into revenue. Favour explains that traffic must first be intentionally created by planting "seeds" (content) across the web and nurturing them over time.He shares a real-life example of a client who returned after three years because of consistent, long-term marketing efforts. The conversation also highlights the importance of creating "easy buttons" to reduce friction in the buying process and the resurgence of community-based marketing (like Skool and Patreon) as a reliable revenue driver.Who is this for?Business owners, digital marketers, and entrepreneurs looking to turn their website visitors into paying customers. It's highly valuable for anyone wanting to understand the mechanics of traffic generation, the importance of planting "content seeds" for long-term SEO, and how to optimize the customer journey for higher conversions.Key Moments & Timestamps01:43 — The Traffic Prerequisite: Why you must intentionally create traffic before you can convert it.03:26 — Quality over Quantity: The "sandcastle" analogy for building valuable, structured traffic.05:50 — Planting Seeds: Why articles and SEO content are like seeds that can yield recurring traffic for years.08:23 — Building Authority: How consistent messaging turns you into the go-to solution when a customer is finally ready to buy.11:08 — Real-Life Case Study: A client who paid an invoice and returned for a 12-week marketing sprint after three years of nurturing.14:26 — The Power of CTAs: How well-designed calls-to-action can increase conversions by 38% to over 160%.16:10 — Guest Insight (Celeste): Why consumers want the easiest path to purchase and how to create "easy buttons" in your business.17:46 — Guest Insight (Rocky): The resurgence of community-based marketing (Skool, Patreon, Facebook groups) and the growing, yet controversial, impact of AI-generated ads.FAQsQ: How do I create traffic in the first place?A: Traffic is created by consistently publishing valuable content (seeds) on your website and distributing those links across platforms like Pinterest, Reddit, LinkedIn, and YouTube to build an interconnected web of authority.Q: How long does it take for SEO content to generate revenue?A: SEO is a long-term strategy. You should give your content pillars at least 24 months to build capacity. However, the content you publish today can continue to drive traffic and revenue for years to come.Q: What is the easiest way to increase conversions on my website?A: Reduce friction. Create "easy buttons" by minimizing the number of steps, forms, or questions a customer has to navigate before making a purchase or booking a service.Action StepsPlant Your Seeds: Commit to a 24-month content strategy where you consistently publish and update articles on your website.Distribute Your Links: Share your website links across multiple platforms (Pinterest, LinkedIn, YouTube) to create an interconnected web of traffic sources.Audit Your CTAs: Review your website's calls-to-action. Ensure they are clear, compelling, and strategically placed to maximize click-through rates.Create "Easy Buttons": Simplify your booking or checkout process. Remove unnecessary questions or steps that might cause a potential customer to abandon the process.Build a Community: Consider launching a community group (via Skool, Patreon, or Facebook) to nurture your audience and build long-term trust.Ready to Rank? Book Your SEO & Web Dev Services Today

Favour Obasi-ike, MBA, MS and guest speakers (including Celeste and Jason) discuss the mechanics of getting discovered on Pinterest. Favour explains that Pinterest is a visual search engine powered by an algorithm called "Pixie," which prioritizes relevance, uniqueness, and content quality. He shares actionable strategies for connecting your website's RSS feed to automatically generate pins, using colors (hex codes) to influence search results, and expanding keyword lists using broad, exact, and phrase match types.The conversation highlights Pinterest's long lifespan for content, noting that pins from years ago can still drive significant traffic today.Who is this for?Business owners, digital marketers, and content creators looking to leverage Pinterest as a visual search engine. It's highly valuable for anyone wanting to understand Pinterest's algorithm (Pixie), how to optimize pins for discoverability, and how to use Pinterest to drive long-term, recurring traffic to their website.SummaryFavour Obasi-ike and guest speakers (including Celese Williams and Jason) discuss the mechanics of getting discovered on Pinterest. Favour explains that Pinterest is a visual search engine powered by an algorithm called "Pixie," which prioritizes relevance, uniqueness, and content quality. He shares actionable strategies for connecting your website's RSS feed to automatically generate pins, using colors (hex codes) to influence search results, and expanding keyword lists using broad, exact, and phrase match types. The conversation highlights Pinterest's long lifespan for content, noting that pins from years ago can still drive significant traffic today.Key Moments & Timestamps01:20 — Meet Pixie: Introduction to Pinterest's algorithm and the key elements of discoverability.02:50 — Automation Hack: How to connect your website's RSS feed to a Pinterest Business account to auto-generate pins.04:45 — The Four Elements of Discoverability: Relevance, uniqueness, content quality, and engagement.06:06 — The Power of Color: How hex codes and background colors (e.g., purple) influence what ads and related pins show up next to your content.08:01 — The Psychology of "Saves": Why the number of saves is the strongest indicator of value on Pinterest.10:08 — Keyword Expansion Strategy: How to turn 25 broad keywords into 75+ keywords using quotation marks and brackets.15:38 — Content Syndication: Connecting Instagram to Pinterest to create multiple traffic pathways for a single piece of content.18:27 — Guest Insight (Celeste): Why Pinterest is an underutilized goldmine for product-based businesses and artists.19:22 — The Lifespan of a Pin: Why Pinterest content lives forever and how updating old articles can trigger a resurgence in traffic.FAQsQ: What is Pinterest's algorithm called and what does it look for?A: Pinterest's algorithm is called "Pixie." It looks for relevance (keywords, titles, descriptions), uniqueness (trends, colors), and content quality (image dimensions, mobile optimization).Q: How can I automatically create pins from my website?A: Create a free Pinterest Business account, go to your settings, and connect your website's RSS feed. When you publish an article with images, Pinterest will automatically pull those images and create pins linking back to your site.Q: How do I find the right keywords for Pinterest?A: Start with broad keywords related to your niche. Then, expand your list by adding quotation marks (phrase match) and brackets (exact match) to those same keywords. You can also use trends.pinterest.com to see what's currently popular.Action StepsSwitch to a Business Account: If you haven't already, convert your Pinterest profile to a free Business account to access analytics and website integration.Connect Your RSS Feed: Link your website to Pinterest so your blog images automatically generate pins.Optimize for Color: Be intentional about the colors and hex codes in your images, as Pinterest's visual search groups similar colors together.Expand Your Keywords: Take a list of 25 broad keywords and create variations using quotation marks and brackets to capture different search intents.Update Old Content: Refresh old articles on your website to trigger a resurgence of traffic from existing pins on Pinterest.Ready to Rank? Book Your SEO & Web Dev Services Today

Dr. Bing explains Free Grace theology: salvation is God's free gift received by simple faith, distinguished from views that add works, sacraments, or lifelong proof to be saved. He contrasts Free Grace with Arminian and Calvinist perspectives, emphasizes assurance of salvation, and separates justification (A-truth) from sanctification and discipleship (B-truth). This can be found at our website, gracelife.org.

Favour Obasi-ike, MBA, MS and guest speakers (including Celese Williams and Darren Shaw) discuss the mechanics of getting discovered on Google. Favour emphasizes that discovery starts with a strong technical foundation; specifically, connecting your website to Google Search Console and submitting a sitemap. He shares a case study of a client who grew from under 20,000 to nearly 300,000 organic impressions in six months. The conversation also covers the importance of prioritizing your website over social media profiles, understanding search intent, and leveraging local SEO (like zip codes) to rank faster in less saturated markets.Who is this for?Business owners, digital marketers, and content creators looking to improve their organic search visibility. It's highly valuable for anyone wanting to understand the technical foundations of SEO, the importance of Google Search Console, and how to structure a website to rank higher and drive long-term traffic.Key Moments & Timestamps01:30 — The Search Loop: How people search, find, click, and save information on Google.03:14 — SEO Foundations: Why discovery is heavily based on keyword research, search intent, and semantics.04:30 — Case Study: Growing a client's organic impressions from 19.1K to 298K in six months.05:49 — The Role of Google Search Console: Why your website must be indexed and have a sitemap to be discovered.07:25 — Guest Insight (Celeste): The power of "niche-ing down" and finding low-hanging fruit in keyword research.10:19 — Guest Insight (Darren): The psychology of language and understanding the mind of your target audience.19:59 — Social Media vs. Websites: Why TikTok is technically a website (registered in 1996) and how it connects to search.21:54 — The Red Flag: Why your website should always rank higher than your social media profiles on Google.25:44 — The Golden Rule: "The only way you can be on Google is by being on Google Search Console."29:27 — Local SEO: The importance of including your zip code or postal code on your website for localized ranking.FAQsQ: What is the first step to getting discovered on Google?A: The absolute first step is connecting your website to Google Search Console and submitting a sitemap. Without this, Google's bots cannot crawl, index, or discover your content.Q: How long does it take to rank on Google?A: It depends on the competition and density of your market. Generally, it takes 6 to 24 months for broader terms, but highly specific, localized keywords (e.g., "Easter bunny rentals in Portland") can rank in a matter of hours or days.Q: Should I link my social media profiles on my website?A: Yes, but be careful. If your social media profiles rank higher than your website on Google, it's a red flag. Your website should always be the primary "head" or asset, with social media acting as secondary channels.Action StepsConnect to Google Search Console: Ensure your website is verified as a property on Google Search Console and submit an updated sitemap.Niche Down Your Keywords: Identify "low-hanging fruit" or highly specific keywords in your industry that have lower competition.Optimize for Local Search: Add your specific location, zip code, or postal code to your website's URLs and content to capture local search traffic.Audit Your Links: Check your website's footer to ensure social media links are opening in new tabs and not draining your primary domain authority.Understand Your Audience: Use precise language that matches the psychological intent and search habits of your target audience.Ready to Rank? Book Your SEO & Web Dev Services Today

Favour Obasi-ike, MBA, MS discusses the critical importance of bots and search engines for business discovery. He emphasizes that getting discovered starts with building trust through secure domains, consistent links, and structured content. Favour explains the difference between traditional search engines (Google, Bing) and AI search engines (ChatGPT, Claude), noting that while Google remains dominant, AI platforms are rapidly changing how consumers find information. using bot fetches.The conversation highlights the necessity of configuring websites correctly (e.g., HTTPS, WWW redirects) and the enduring value of backlinks and reviews. Favour also touches on the psychology of consumer behavior, explaining how different types of content and even background music can influence purchasing decisions.Who is this for?Business owners, entrepreneurs, and content creators looking to improve their online visibility. It's highly valuable for anyone wanting to understand the technical foundations of SEO, how to build trust with search engines, and how to adapt to the rise of AI-driven search platforms like ChatGPT, Claude, and Perplexity.Key Moments & Timestamps00:00 - Intro: Why search engines are your best friends online.01:06 - Favour's background: Helping businesses with strategic technical SEO setups.02:50 - Building trust online: The foundation of discovery through links, tags, and community.05:31 - The importance of internally linking your website to external features.08:08 - Technical SEO basics: Securing your domain, enabling domain privacy, and using HTTPS.21:57 - Why content structure matters more than just the content itself for search engine discovery.29:38 - Real-world example: How a missing "www" configuration prevented a client's website from loading.01:00:32 - The rise of AI search: How ChatGPT and Claude are changing consumer search behavior.01:02:49 - Why backlinks are not dead: AI platforms still pull recommendations from directories like Yelp and MapQuest.01:52:48 - The psychology of marketing: How music tempo (BPM) affects consumer focus and purchasing decisions.FAQsQ: What is the first step to getting discovered on search engines?A: The foundational step is building trust. This starts with securing your website (HTTPS), ensuring your domain privacy and lock are active, and consistently linking your content.Q: Are backlinks still important with the rise of AI search engines?A: Yes. AI platforms like ChatGPT still rely on citations and backlinks from established directories (like Yelp or even MapQuest) to formulate their recommendations.Q: What is the difference between search engines and social media?A: Search engines are intent-driven (fetching, crawling, indexing based on queries), whereas social media is more about immediate engagement. You must document your social media features on your website to connect the two for search engines.Action StepsSecure Your Domain: Verify that your website uses HTTPS and that your domain privacy and lock settings are correctly configured.Check Your Redirects: Ensure that both the "www" and non-"www" versions of your domain correctly lead to your active website without error messages.Document Your Features: If your brand is featured on a podcast, magazine, or social media, create a post on your website linking back to that feature to build semantic trust.Research AI Recommendations: Ask AI platforms (like ChatGPT or Perplexity) for recommendations in your industry to see who is ranking and where the AI is pulling its data from.Optimize for Intent: Structure your website content clearly so that search engine bots can easily crawl, index, and understand the value you provide.Ready to Rank? Book Your SEO & Web Dev Services Today

Favour Obasi-ike, MBA, MS dives into Podcast Search Engine Optimization (SEO) and discovery. He explains that getting discovered and getting ranked are two different processes requiring a strong technical foundation. Favour outlines the nine key areas where a podcast must resonate sonically and structurally, emphasizing optimized titles, descriptions, file names, and high-quality cover art (3000x3000 pixels). He also discusses RSS feed distribution, maintaining a consistent publishing cadence, and choosing the right podcast format (solo, interview, co-host, etc.).The session concludes with an interactive Q&A, encouraging creators to build a timeless content library.Who is this for?Podcasters, business owners, content creators, and digital marketers looking to maximize their podcast's visibility and reach. It's valuable for understanding the technical aspects of Podcast SEO, getting discovered and ranked across directories, and structuring shows for long-term growth and PR.Key Moments & Timestamps00:00 - Intro: The power of Podcast SEO for discovery, business growth, and PR.00:59 - Importance of RSS feed distribution and submitting to multiple destination websites.03:33 - Using Cast Feed Validator to check the health of your podcast's RSS feed.04:36 - The difference between getting discovered (visibility) and getting ranked (positioning).05:12 - Key SEO elements: Podcast title, description, author name, episode details, and file names.05:34 - Technical requirement: Podcast cover art must be 3000x3000 pixels for maximum visibility.08:21 - Importance of publishing cadence (every 8 to 12 days) to consistently refresh your feed.20:00 - The 9 places your podcast must resonate sonically and structurally.24:35 - Title optimization: Keeping titles between 50 to 60 characters to avoid truncation.01:13:40 - The 5 podcast formats: Solo, interview, co-host, round table, and faceless/theme content.FAQsQ: What is the difference between getting discovered and getting ranked?A: Discovery means your podcast is visible and accessible to a maximum number of people across platforms. Ranking refers to your podcast's specific position within search results based on its SEO structure and relevance.Q: How long should my podcast title and description be?A: Your podcast title should ideally be between 50 to 60 characters (including spaces) to prevent truncation on mobile devices. Your description can be much longer, typically 4,000 to 6,000 characters, allowing for rich keyword integration.Q: What size should my podcast cover art be?A: For maximum visibility and compliance with major directories, your podcast cover art should be exactly 3000 by 3000 pixels.Q: How often should I publish new podcast episodes?A: Favour recommends a publishing cadence of every 8 to 12 days. This consistency helps refresh your RSS feed regularly and keeps your audience engaged.Action StepsValidate Your Feed: Use castfeedvalidator.com to check the health and structure of your podcast's RSS feed.Optimize Your Metadata: Ensure your podcast title (50-60 characters) and description (up to 4,000 characters) clearly explain your content and include relevant keywords.Update Cover Art: Check your podcast image dimensions and update them to 3000x3000 pixels if they are currently smaller.Establish a Cadence: Commit to a consistent publishing schedule, ideally releasing a new episode every 8 to 12 days.Book a Discovery Call: Reach out to Favour Obasi-ike via his booking link for a complimentary 30-minute SEO discovery call.Ready to Rank? Book Your SEO & Web Dev Services Today