Podcasts about power users

Why is Kalshi suddenly everywhere? SUPPORT MY WORK: Buy a paid subscription to my newsletter at usermag.co      Support my work on Patreon: http://patreon.com/taylorlorenz Prediction markets like Kalshi and Polymarket have become one of the most powerful forces in American media, politics, and culture. In this episode of Power User, I sit down with NPR's Bobby Allyn, the country's top prediction-markets reporter, to break down how Kalshi went from a tiny startup that 50 lawyers refused to represent to an inescapable cultural juggernaut backed by the Trump family, celebrities, and major news organizations.We dig into how Kalshi exploited a legal loophole to bring sports betting and election betting to every state, why Donald Trump Jr. became an advisor to both Kalshi and Polymarket, and how the companies called the 2024 election for Trump before the mainstream media would, cementing their place in the MAGA universe. Bobby explains the rise of Kalshi CEO Tarek Mansour, Polymarket's offshore "crypto bad boy" founder Shane Coplan, and the regulatory war happening right now inside the CFTC.We also cover the dark side nobody is talking about: undisclosed influencer marketing flooding your feed, the Timothée Chalamet Kalshi deal, secret ads during the NBA playoffs, the Mr. Beast video editor insider trading scandal, betting markets on wildfires and war, and the casinoification of the entire economy. We dig into the lawsuits, the looming Supreme Court showdown, and whether this whole gambling empire could vanish overnight! We cover:How Kalshi went from a rejected idea to a multi-billion dollar empire.The shocking court ruling that changed everything in 2024.Why MAGA influencers embraced prediction markets early.The Mr. Beast video editor insider trading scandal.How sports gambling bans were bypassed with a loophole.Timothée Chalamet's controversial Kalshi ad.The media's role in normalizing this "gambling for everything".Why Democrats and Republicans are fighting over regulation.The lawsuits that could end Kalshi.What happens when you can bet on wildfires, wars, and more.

(Disclaimer: erstellt mit ChatGPT)Hallo liebe Community,

Amy Reichanadter, Chief People Officer at Databricks, joined us on The Modern People Leader to discuss her upskilling journey throughout her career, creating consumer-grade employee experiences, and leading through rapid technological change. ----  Sponsor Links:

Are AI data centers destroying the environment, driving up power bills, and consuming massive amounts of water, or is the backlash overblown?SUPPORT MY WORK: Buy a paid subscription to my newsletter at usermag.co     Support my work on Patreon for bonus episodes, monthly Q&A livestreams, and more: http://patreon.com/taylorlorenz       In this episode of Power User, I sit down with Wired senior climate and energy reporter Molly Taft to unpack the AI data center boom. We discuss how AI infrastructure actually works, why companies like OpenAI, Anthropic, Google, Microsoft, and xAI are racing to build more data centers, and what the environmental consequences could be.We dive into the controversy around electricity demand, fossil fuel expansion, water use, local community opposition, AI infrastructure, data center moratoriums, and whether these facilities are genuinely necessary for the future of artificial intelligence.Topics covered:What AI data centers actually doWhy ChatGPT and AI require so much computeThe environmental impact of AIEnergy consumption and power gridsNatural gas, nuclear, and renewable energyElon Musk's xAI Colossus projectWater usage and cooling systemsCommunity backlash against data centersClimate concerns and AI developmentThe future of AI infrastructureIf you've been seeing headlines about AI data centers, energy crises, environmental impacts, or the race between OpenAI, Anthropic, Google, Microsoft, and China, this conversation breaks down what's really happening.#AI #DataCenters #ChatGPT #OpenAI #ArtificialIntelligence #ClimateChange #Technology #TechNews #Energy #Environment

K, grab your glass of red and come sit. We need to talk about AI.The discourse has been rampant the last few months: vibe-coding, Claude Cowork, agentic AI, OpenAI and partnering with the Department of War, AI psychosis, custom dashboards, apps, and GPTs...We are FLOODED with info right now, and instead of leading with curiosity, social media has become a 360 slam-dunk fest on who's right or wrong. When the internet is filled with black and white thinking, name-calling, and passive aggressive posts... I can't help but wonder: isn't this what led to the surge of AI in the first place? Did the AI boom happen due to a lack of communication, conflict resolution, and critical thinking skills?Why would people turn to a robot instead of a human to ask questions about business, life and love? Why aren't we hiring real people right now, even when we know it's the "right" thing to do? What's the point of moving at lightning speed? Where is this all taking us?These are all the questions I ask today, from both sides of the debate. I was a Power User not too long ago, and am currently on an "AI cleanse". I share how one long afternoon with a custom GPT and one too many prompts led me to this point...As usual, no final answers here. Just observations, thoughts, questions, and ideas for how we can stop pieing each other in the face about AI and instead, build a bridge with curiosity, imagination, stories and some good ole fashioned empathy.I can't wait to hear your thoughts!People mentioned in this ep:Ximena - everyone's favorite Mexican Eco-PhilosopherKP Pilley - Editorial Strategist & 9-Grid ExtraordinaireXanthe Appleyard & Social LifeSocial media is fickle AF, but your community doesn't have to be. Life of the Party is a content strategy program that helps creative leaders own their growth, engagement, and joy online.  Walk away with a sustainable strategy to skyrocket the visibility of your biz, become known for your unique POV, and grow an online community stacked with the caliber of clients you've always dreamed of collabing with. Use code NOTES for $100Let's connect!

Have you noticed your social media feeds suddenly flooding with terrifying content about AI existential risk? From TikTok clips warning about "AI psychosis" to viral YouTube shorts claiming chatbots are pushing people to the brink, the anti-AI movement has taken over the internet... But what if these "anti-AI" influencers aren't actually what they seem?SUPPORT MY WORK: Buy a paid subscription to my newsletter at usermag.co   Support my work on Patreon for bonus episodes, monthly Q&A livestreams, and more: http://patreon.com/taylorlorenz    In this week's episode of Power User, Washington Post journalist Natasha Tiku join me to pull back the curtain on the massive, billionaire-funded "anti-AI" astroturf campaign. We track the money and expose how the exact same millionaires and billionaires building the world's largest AI companies (like OpenAI and Anthropic) are quietly paying influencers thousands of dollars to promote AI doomsday scenarios.We dive deep into the 25-year history of the AI safety movement, from Eliezer Yudkowski's rationalist blogs and Harry Potter fan fiction to Effective Altruism and the "paperclip maximizer" theory. We talk about how Silicon Valley elites are co-opting VERY genuine public anxieties about jobs and real-world harms related to AI technology in order to push their own pro-AI, anti-regulatory agendas.We also talk about how to spot the hidden corporate pipelines, dark money nonprofits, and staged research papers designed to control the narrative around AI. If you're seeing AI doomer videos all over your feed, please watch this one!✨ SUPPORT THE CHANNEL: 

Ernie Svenson sits down with complex litigation attorney Richard Serpe to explore how he went from struggling with AI basics to becoming an advanced user in just 18 months. Richard shares how he uses tools like Claude, Perplexity Computer, NotebookLM, and AI skills to manage complex cases, organize research, prepare witnesses, and build better legal workflows. They also discuss the real costs of agentic AI, why file structure matters, how lawyers can avoid getting locked into one platform, and why curiosity may be the most important skill for adopting AI in legal practice.   Chapters 0:07 Richard's AI Journey 4:26 Early AI Friction 9:25 File Structure And Memory 15:34 Perplexity Computer Costs 26:17 Skills In Claude 35:57 Final AI Adoption Advice  Resource Links AI Lab (a weekly AI workshop for lawyers) LinkedIn post by attorney offering AI chatbot that protects privilege The Inner Circle (my online community for lawyers) The 80/20 Principle (my techlaw newsletter) Follow and Review: I'd love for you to follow me if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. I'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Thanks to the sponsor: Smith.ai Smith.ai is an amazing virtual receptionist service that specializes in working with solo and small law firms. When you hire Smith.ai, you're hiring well-trained, friendly receptionists who can respond to callers in English or Spanish. And they have a special offer for podcast listeners where you can get an extra $100 discount with promo code ERNIE100. Sign up for a risk-free start with a 14-day money-back guarantee now (and learn more) at smith.ai.  

Is your Apple Watch doing all it can for you? Explore how advanced features like multi-watch setups, app grids versus lists, and watch-based security tools can seriously level up your experience. Apple Watch independence, multiple watches per iPhone, and family setup Pros and cons of owning and using two Apple Watches Apple Watch as fashion item versus functional device Passing down and reusing Apple Watches in families Managing Apple Watch apps, notifications, and widgets for a personalized experience Apple Watch Mirroring on iPhone and accessibility features Using Apple Watch to find your iPhone (and vice versa) Apple Watch for unlocking Macs, authenticating purchases, and identity confirmation Running Apple Watch solo, even without cellular—music, workouts, and safety News: End-to-end encrypted RCS messaging arrives via carrier support in iOS update Shortcuts Corner: Exporting Apple Health data (weight) to CSV App Caps: MagSafe wallets with Find My and pop socket support Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT

Is your Apple Watch doing all it can for you? Explore how advanced features like multi-watch setups, app grids versus lists, and watch-based security tools can seriously level up your experience. Apple Watch independence, multiple watches per iPhone, and family setup Pros and cons of owning and using two Apple Watches Apple Watch as fashion item versus functional device Passing down and reusing Apple Watches in families Managing Apple Watch apps, notifications, and widgets for a personalized experience Apple Watch Mirroring on iPhone and accessibility features Using Apple Watch to find your iPhone (and vice versa) Apple Watch for unlocking Macs, authenticating purchases, and identity confirmation Running Apple Watch solo, even without cellular—music, workouts, and safety News: End-to-end encrypted RCS messaging arrives via carrier support in iOS update Shortcuts Corner: Exporting Apple Health data (weight) to CSV App Caps: MagSafe wallets with Find My and pop socket support Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT

Is your Apple Watch doing all it can for you? Explore how advanced features like multi-watch setups, app grids versus lists, and watch-based security tools can seriously level up your experience. Apple Watch independence, multiple watches per iPhone, and family setup Pros and cons of owning and using two Apple Watches Apple Watch as fashion item versus functional device Passing down and reusing Apple Watches in families Managing Apple Watch apps, notifications, and widgets for a personalized experience Apple Watch Mirroring on iPhone and accessibility features Using Apple Watch to find your iPhone (and vice versa) Apple Watch for unlocking Macs, authenticating purchases, and identity confirmation Running Apple Watch solo, even without cellular—music, workouts, and safety News: End-to-end encrypted RCS messaging arrives via carrier support in iOS update Shortcuts Corner: Exporting Apple Health data (weight) to CSV App Caps: MagSafe wallets with Find My and pop socket support Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT

What happens if AI becomes smarter than humans at most jobs?SUPPORT MY WORK: Buy a paid subscription to my newsletter at usermag.co Support my work on Patreon for bonus episodes, monthly Q&A livestreams, and more: http://patreon.com/taylorlorenz Researchers, economists, and top AI executives are increasingly warning about the rise of a “permanent underclass”,  a future where millions of workers lose not just their jobs, but their economic value altogether. In this episode of Power User, I sit down with writer Jasmine Sun to unpack the terrifying idea that artificial intelligence could permanently reshape class, wealth, labor, and power in America.We discuss OpenAI, Anthropic, AGI, automation, white collar layoffs, Silicon Valley ideology, AI job displacement, universal basic income, data center protests, populism, and whether society is prepared for what's coming next.Could AI destroy upward mobility? Will automation create mass unemployment? Are tech companies being honest about the future they're building?We cover:The permanent underclass theory explainedWho is actually pushing this ideaOpenAI's shifting stance on job displacementLeading the Future and AI lobbyingWhy AI is different from past tech hypePolicy failures and democratic backlashWhat China is doing differentlyWhat workers should actually do now#AI #Tech #Technology #ArtificialIntelligence #FutureOfWork #AGI #OpenAI #Anthropic #SiliconValley #TechNews #JobAutomation #AIJobs #TechIndustry  

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In this episode of the AI Agent & Copilot Podcast, Cloud Wars Founder Bob Evans is joined by Dona Sarkar, Chief Troublemaker of AI Adoption at Microsoft, who shares her perspective on how leaders should approach AI adoption, why fear around AI replacing jobs is misplaced, and how executives can create a culture of experimentation. Speaking from the 2026 AI Agent & Copilot Summit NA in San Diego, Sarkar explains why organizations need AI-first thinking, stronger leadership involvement, and a focus on solving impossible problems rather than simply improving existing workflows. Key Takeaways AI Won't Replace You — But Someone Using AI Might: Sarkar strongly pushes back against the fear-driven narrative around AI replacing workers. She explains that change does not happen overnight and that professionals should focus on becoming AI power users instead of waiting for disruption to happen to them. As she puts it, “We will be relevant, irrelevant. Who's they? Exactly. You can be they.” She encourages workers to learn AI within their own discipline (legal, finance, sales, or operations) and become the person who understands how to train, guide, and supervise it. The future belongs to those who learn to “harness its power.” AI Should Solve Impossible Problems, Not Just Existing Ones: Rather than using AI only to optimize familiar work, Sarkar believes organizations should target the problems they have never been able to solve. She says, “Let's go solve the problems we've never been able to solve because we just don't have the human capital.” This shift moves AI from being a cost-cutting exercise to a growth engine. Leaders should use AI to uncover opportunities, identify market gaps, and rethink what their companies are capable of delivering in the future. Focus on Team Productivity, Not Personal Productivity: Sarkar argues that many companies are stuck in outdated AI use cases like meeting summaries and individual task optimization. She believes the real opportunity lies in workflow transformation across teams. “You have to get outside the personal productivity experiments.” By identifying full workflows — like sales enablement or content operations — and improving them with AI agents, companies reduce fear and unlock capacity for new work. AI should create room for innovation and experimentation, not simply make individuals feel more replaceable. Visit Cloud Wars for more.

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TechStuff presents Two Percent with Michael Easter, a twice-weekly deep dive into the science of living better by doing things the hard way. In this episode of the podcast, Taylor Lorenz of the Substack User Mag and host of podcast Power User joins Michael to discuss whether social media should be considered addictive. Together, they look at the real science on dopamine, the recent Meta verdict from Los Angeles, Section 230, KOSA, looksmaxxing, and what's actually driving the teen mental health conversation.See omnystudio.com/listener for privacy information.

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In this UC Today interview, host Christopher Carey speaks with Loopio CEO Zak Hemraj about Loopio's latest industry report on the impact of generative AI on the workforce - and one headline stands out: over 80% of teams are now using AI in their workflows, with more than half using it daily. Zak also highlights a surprise trend - financial services and banking, often viewed as cautious adopters, are among the most aggressive in embracing AI, driven in some cases by top-down executive mandates and structured governance.The conversation explores why “capacity” has become the top challenge even as AI reduces time spent writing, how productivity gains can be offset by rising demand, what separates top performers in how they apply AI beyond first drafts, and what comes next as enterprises push toward agentic AI - alongside growing security and risk concerns. 

Kyle Chayka is a writer for the New Yorker, and on this week's Power User he joins me to break down the rise of AI fruit slop dramas. Support my independent journalism:

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Wie bringt man KI wirklich in den Mittelstand? Nicht als Pilotprojekt. Nicht als Buzzword. Sondern als echte Kompetenz im Unternehmen. In dieser Special-Folge von AI or DIE sprechen wir live aus dem Mittelstand – direkt aus einem KI-Workshop bei der Leiber Group. Gemeinsam mit Simon und Richard diskutieren wir, wie Unternehmen KI pragmatisch einführen können, ohne sich in Tools, Lizenzen oder Strategiepapiere zu verlieren. Der Ansatz: Nicht Perfektion. Sondern Zugänglichkeit, Geschwindigkeit und Umsetzung. Statt teurer Lizenzen für jeden Mitarbeitenden setzt Leiber auf einen Plattformansatz: KI wird über APIs verfügbar gemacht, nutzungsbasiert abgerechnet und damit für alle im Unternehmen zugänglich. Ergänzt durch Schulungsstufen, klare Rollen und schnelle Use-Case-Teams entsteht Schritt für Schritt eine echte KI-Kompetenz im Unternehmen. Dabei wird auch deutlich: Der Mittelstand hat einen entscheidenden Vorteil gegenüber Konzernen – Geschwindigkeit und Entscheidungsfähigkeit. In der Diskussion geht es unter anderem um: • Warum KI zuerst für die breite Masse verfügbar sein muss • Wie ein Plattformansatz Kosten reduziert und Flexibilität erhöht • Warum Unternehmen nicht sofort mit komplexen KI-Projekten starten sollten • Wie KI Research, Vertrieb und Marktanalysen radikal beschleunigen kann • Warum der ROI von KI oft indirekt über Geschwindigkeit und Produktivität entsteht • Und weshalb Mittelständler gerade jetzt die Chance haben, Innovation schneller umzusetzen als große Organisationen Die zentrale Botschaft dieser Episode: Wer auf die perfekte Strategie wartet, verliert Zeit. Wer startet, lernt schneller. Und genau das entscheidet gerade darüber, wer KI wirklich nutzt – und wer nur darüber spricht. ⸻ Timestamps 00:00 – Intro: Special AI or DIE Folge aus dem Mittelstand 00:13 – Wie Leiber KI im Unternehmen einführt 01:10 – KI für die breite Masse statt Speziallösungen 02:00 – Schulungslevels: User, Power User und KI Champions 03:08 – Warum schnelle Umsetzung entscheidend ist 04:00 – Plattformstrategie statt teurer Einzellizenzen 04:54 – Der technische Plattformansatz erklärt 06:00 – Pay-per-Use statt Lizenzmodelle 06:53 – Multi-KI statt nur einer Plattform 08:00 – Das Problem ungenutzter Softwarelizenzen 09:00 – Schatten-KI im Unternehmen 09:49 – Spezialtools vs. Plattformstrategie 11:07 – Inspiration aus KI-Use-Cases im Vertrieb 13:10 – Geschwindigkeit als Wettbewerbsvorteil 13:57 – Innovation im Mittelstand 15:03 – Eindrücke aus dem Unternehmen Leiber 17:32 – KI-Strategie und Messbarkeit von Effizienz 18:17 – Persönliche Produktivitätssteigerung durch KI 19:17 – Wie man den ROI von KI sichtbar macht 21:36 – Mensch vs. KI im Arbeitsalltag 22:19 – Angst vor KI im Unternehmen 24:05 – KI ersetzt nicht Jobs, sondern Aufgaben 26:03 – KI und die neue Produktivität der Wissensarbeit 27:13 – Konkrete Maßnahmen nach dem Workshop 28:24 – Motivation und Netzwerk im KI-Mittelstand 30:23 – Fazit des Tages bei Leiber 31:10 – Schlussgedanken zur Zukunft von KI im Mittelstand 31:55 – Aufruf: Einfach starten und dranbleiben 33:01 – Outro

In this BG2 guest interview, Altimeter Partner Apoorv Agrawal sits down with Nick Turley of OpenAI for a deep dive into how ChatGPT became one of the fastest-growing products in history—and what comes next.They discuss how OpenAI thinks about retention and product metrics, why long-term engagement matters more than raw growth, and how ChatGPT gets the next billion users. The conversation explores the future of AI assistants: moving beyond chat into proactive agents that can take actions, complete long-horizon tasks, and integrate deeply into users' daily lives.Nick also shares how OpenAI balances product improvements with breakthrough research, how GPU constraints shape product decisions, and why building for both power users and everyday consumers is essential to discovering new use cases. The episode covers the evolution of ChatGPT pricing, the role of partnerships and distribution, and how OpenAI is thinking about scaling access to AI globally.A must-watch discussion for builders, operators, and investors trying to understand the next phase of AI—from chatbots to true “super assistants.”Timestamps:(00:00) Intro(01:00) Nick Turley's Journey to OpenAI(02:15) ChatGPT's North Star: Long-Term Retention(04:15) Why ChatGPT's Retention Curve “Smiles”(06:45) What Drove ChatGPT's Consumer Breakout(10:15) How OpenAI Gets the Next Billion Users(14:15) When ChatGPT Starts Taking Actions(18:15) Why Coding Agents Came First(21:00) Beyond Chatbots: The Super Assistant Vision(24:00) Power Users vs. Casual Users(28:00) Why ChatGPT Pricing Has to Change(33:45) Partnerships, Distribution, and Product Tradeoffs(37:15) GPUs, Scarcity, and the Cost of Scaling AI(41:30) Shopping, ChatGPT as a Thought Partner, and Code Red(51:45) OpenAI's Future Interface, Rapid Fire, AI Jobs, and Nick's AGI MomentsProduced by Dan ShevchukMusic by Yung SpielbergAvailable on Apple, Spotify, ⁠www.bg2pod.com⁠Follow:Apoorv Agrawal @apoorv03 https://x.com/apoorv03BG2 Pod @bg2pod ⁠https://x.com/BG2Pod

In dieser Episode des Data Science Deep Dive spricht Mira mit Fabian Wörenkämper, Data Scientist bei der Krombacher Brauerei, über Anomalie-Erkennung im Loyalty-Programm. Im Fokus steht die Frage, wie auffällige Punkteaktivitäten erkannt werden, ohne ehrliche Power User zu benachteiligen. Fabian erklärt, wie ein Trust Score mithilfe eines Isolation Forests berechnet wird und welche Rolle Feature Engineering und Fachbereichsfeedback dabei spielen. Außerdem geht es um die technische Umsetzung auf Databricks und die tägliche Aktualisierung der Scores. Zum Abschluss gibt Fabian einen Ausblick auf zukünftige Entwicklungen, etwa GenAI-Projekte und die Verbindung von Trust Score und Customer Value. **Zusammenfassung** Loyalty-Programm: Kund*innen laden Kassenbons hoch und sammeln Punkte für Krombacher-Produkte Auffälligkeiten reichen von ungewöhnlich vielen Belegen bis hin zu manipulierten Bons Ziel ist es, Betrug zu erkennen, ohne wertvolle Kund*innen zu vergraulen Trust Score dient als kontinuierliches Maß für Auffälligkeit statt einer binären Entscheidung Modellbasis: Isolation Forest, ergänzt durch erklärbare Feature-Indikatoren Enge Zusammenarbeit mit Customer Care und Fachabteilung ist entscheidend für sinnvolle Features Infrastruktur wurde von einem Custom AWS-Stack zu Databricks migriert, tägliche Neuberechnung reicht aus **Links** Guinness und die Statistik von Karolin Breitschädel auf detektor.fm https://detektor.fm/wissen/geschichten-aus-der-mathematik-statistik-aus-der-brauerei Krombacher Loyalty-Programm: https://plus.krombacher.de/ Isolation Forest (Anomaly Detection): https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html Databricks Plattform: https://www.databricks.com/ Streamlit (interaktive Modell-Iteration): https://streamlit.io/

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM AI enablement is a change problem, not a tech problem. In this episode, Molly Rupert-Sullivan breaks down how to support three groups at once: people who do not get AI yet, people who want to opt out, and champions who want more. You will hear practical ways to set expectations, avoid over‑teaching “all AI”, and build momentum by giving champions the right access, platforms, and repeatable wins that can scale across an organisation.

Most employees are using about 1% of what AI can actually do. Not because they're lazy. Not because they lack access. But because no one has shown them how to think with it. Meanwhile, somewhere in Silicon Valley, a 23-year-old is running a startup like they've got 28 PhDs sitting beside them—for a penny a minute. That gap isn't theoretical. It's operational. And it's widening by the hour.In this conversation, Kevin Surace and I dig into what that gap really means—for your productivity, your profession, and your relevance. From three-paragraph prompts to million-dollar consulting projects replicated in minutes, we explore why this wave looks familiar (desktop computers, the internet, Excel) and why it's moving faster than all of them. Resistance isn't noble. It's career-limiting.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsCheck out this episode's sponsor: DeelConnect with Kevin on LinkedInCheck out Kevin's website and Appvance.aiSupport the show

In this episode we are joined by Charlie from Felix to discuss the evolution of trading platforms. We focus on market structure incentives, liquidity and user experience challenges, competition among protocols, and how revenue models and product strategy shape long-term direction. Thanks for tuning in! As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. -- Follow Blockworks Research: https://x.com/blockworksres Follow Felix: https://x.com/felixprotocol Follow Charlie: https://x.com/0xBroze Follow Shaundadevens: https://x.com/shaundadevens Follow Danny: https://x.com/defi_kay_ Follow Boccaccio: https://x.com/salveboccaccio -- Uniswap's Trading API offers plug-and-play access to deep onchain and off-chain liquidity, delivering enterprise-grade crypto trading without the complexity - from one of the most trusted teams in DeFi.  Click to get started with seamless, scalable access to Uniswap's powerful onchain trading infrastructure. https://hub.uniswap.org/?utm_source=blockworks&utm_medium=podcast&utm_campaign=ww_web_bw_awa_trading-api_20251117_podcast_clicks -- A yearly Blockworks Research subscription is $4,500, but now you can get our latest MetaDAO research report absolutely free. Read up on the latest funding models and what it all could mean for the future of ICOs: https://link.blockworks.co/metadaoreport -- Subscribe on YouTube: https://bit.ly/3foDS38 Subscribe on Apple: https://apple.co/3SNhUEt Subscribe on Spotify: https://spoti.fi/3NlP1hA Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (0:50)   Spot Liquidity and UX Issues (17:21) Felix Tokenized Stocks (20:10) HIP-3 Competition (29:37) BLP Overview (36:03) Building on Top of BLP (40:26) Consumer Apps vs Power Users (43:02) Uniswap Ad (43:47) Hyperliquid's Path Forward (53:12) Revenue and Buybacks (1:01:22) Closing Comments -- Check out Blockworks Research today! Research, data, governance, tokenomics, and models – now, all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter -- Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Boccaccio, Danny, and our guests may hold positions in the companies, funds, or projects discussed.

Hate to say it: you're not using ChatGPT right.

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On this episode, Gasper Crepinsek joins the podcast. He is a former BCG consultant who walked away from a 6-figure corporate career to join the AI revolution. Now he helps entrepreneurs cut soul-sucking work and run their businesses up to 3x faster with AI. He combines his consulting background with hands-on experimentation to help founders […] The post 413: 10 ChatGPT Prompt Hacks Only Top 1% of Power Users Know first appeared on Persuasion by the Pint.

Matt Dalio is the founder of Endless Network, a visionary initiative dedicated to empowering youth to become creators of technology rather than passive consumers. His work spans three pillars: Endless Studios, a youth game-making studio; Endless Access, which tackles device affordability and connectivity; and Endless OS, an education-focused operating system designed to teach coding and digital skills through games.Matt's journey began with formative experiences in China, where he founded the China Care Foundation as a teenager to support orphans—an early signal of his lifelong commitment to equity and empowerment. He's also the son of Ray Dalio, founder of Bridgewater Associates, and credits his father's ethos of purpose-driven work as a guiding influence, while forging his own path in education and technology.In 2024, Matt announced a major partnership with Arizona State University to launch the Endless Games and Learning Lab, a $5M initiative aimed at scaling personalized, game-based learning for millions of students worldwide.Links:Media Kit / Bio:https://kitcaster.com/matt-dalio/Social:https://www.linkedin.com/in/mattdalio/Website:https://www.endlessstudios.com/ Hosted on Acast. See acast.com/privacy for more information.

Turn raw Excel data into actionable insights, visual dashboards, and KPIs in minutes. With Agent Mode, automate complex analysis, create pivot tables, and build interactive dashboards without manual setup. Streamline text analysis, formula generation, and complex calculations right inside Excel. Use the Copilot function to categorize feedback, score sentiment, or automate repetitive tasks, and leverage Formula AI to generate accurate formulas from plain language prompts. Jeremy Chapman, Microsoft 365 Director, shares how to work smarter and make faster, data-driven decisions in Microsoft Excel. ► QUICK LINKS:  00:00 - Excel and Microsoft 365 Copilot updates 01:24 - Agent Mode 03:55 - Copilot function 06:02 - Formula completion 07:13 - Formula AI 08:41 - Wrap up ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

On this episode of The OneStream Podcast, longtime OneStream software instructor, Tom Linton joins Peter Fugere to talk about the roles of Power Users and Administrators. This is an in-depth and informative discussion about how to advance your knowledge, skills and career in the OneStream ecosystem that you don't want to miss.

Aaron recaps the wins and lessons learned at BuildWitt this week. Questions or feedback? Email us at dirttalk@buildwitt.com! To learn more about attending the 2025 Ariat Dirt World Summit, visit www.dirtworld.com!

[Patreon Preview] To listen to/watch this full episode, ⁠sign up for my Patreon⁠!Signing up for the Patreon will get you access to one bonus episode per month, the ability to listen/watch without ads, and you're helping to support the show. Join today!! We're all familiar with the concept of deepfakes, but now, AI is being harnessed in a new way to deceive. AI generated TikTokers are reciting the actual words of real people, right down to the stumbles, "ums" and "uhs."This new form of AI-driven identity theft is slipping past moderation filters, misleading millions, and leaving creators feeling powerless. Bobby Allyn is a reporter who's been covering this phenomenon and the rise of TikTok deepfakes, he joined me for this bonus episode of Power User to break it all down and explain why this is happening.Buy a subscription to my Tech and Online Culture newsletter, User Magazine to support my work!!!!

Journalist Taylor Lorenz joins to talk about her bombshell expose on how a dark money group Is secretly funding high-profile Democratic influencers. She also hits back at the haters and smearers with actual facts. But first Human Rights attorney Craig Mokhiber talks about how a little-used UN mechanism could stop Israel's genocide in Gaza. For the full discussion, please join us on Patreon at - https://www.patreon.com/posts/patreon-full-137998347 Taylor Lorenz is a freelance journalist on YouTube and Substack and hosts the podcast Power User. She has written for The New York Times, The Atlantic, New York Magazine, Washington Post and more. She's also the author of the bestselling book Extremely Online, which covers the rise of the content creator industry Craig Mokhiber is an American former United Nations (UN) human rights official and a specialist in international human rights law, policy, and methodology. On October 28, 2023, Mokhiber stepped down as the director of the New York office of the United Nations High Commissioner for Human Rights (OHCHR). In his final letter to High Commissioner, he harshly criticized the organization's response to the war in Gaza, calling Israel's military intervention a "textbook genocide" and accusing the UN of failing to act. ***Please support The Katie Halper Show *** For bonus content, exclusive interviews, to support independent media & to help make this program possible, please join us on Patreon - https://www.patreon.com/thekatiehalpershow Get your Katie Halper Show Merch here! https://katiehalper.myspreadshop.com/all Follow Katie on Twitter: https://x.com/kthalps Follow Katie on Instagram: https://www.instagram.com/kthalps Follow Katie on TikTok: https://tiktok.com/@kthalps

Sydney Sweeney is Hollywood's most-discussed starlet, often for confusing reasons. Her existence as a visible woman with a human body made her the target of widespread male adoration, ridicule, and political projection. How she navigates being the new Miss American Dream is yielding increasingly bizarre results — what's the deal with her eugenics, I mean genetics? And the bathwater? In this much-requested episode, Taylor, Kat and I examine the 27-year-old's relationship to wokeness (just kill me already), the line between sex work and whatever's happening in her brand endorsements, and the right-wing media's penchant for manufacturing hysteria. Listen to bonus episodes on Patreon! Thanks to today's sponsors! Join the fight to get religion OUT of public schools at ffrf.us/school or text FREEDOM to 511511. Work smarter, not harder, with Factor meals ready in two minutes at https://www.factormeals.com/fruity50off Read more of Kat's work at her newsletter, Spitfire News. Listen to Taylor's podcast, Power User. Find me on Instagram. Find A Bit Fruity on Instagram. Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when an internal hack turns into a $400 million AI rocket ship? In this episode, Matt Turck sits down with Boris Cherny, the creator of Claude Code at Anthropic, to unpack the wild story behind the fastest-growing AI coding tool on the planet.Boris reveals how Claude Code started as a personal productivity tool, only to become Anthropic's secret weapon — now used by nearly every engineer at the company and rapidly spreading across the industry. You'll hear how Claude Code's “agentic” approach lets AI not just suggest code, but actually plan, edit, debug, and even manage entire projects—sometimes with a whole fleet of subagents working in parallel.We go deep on why Claude Code runs in the terminal (and why that's a feature, not a bug), how its Claude.md memory files let teams build a living, shareable knowledge base, and why safety and human-in-the-loop controls are baked into every action. Boris shares real stories of onboarding times dropping from weeks to days, and how even non-coders are hacking Cloud Code for everything from note-taking to business metrics.AnthropicWebsite - https://www.anthropic.comX/Twitter - https://x.com/AnthropicAIBoris ChernyLinkedIn - https://www.linkedin.com/in/bchernyX/Twitter - https://x.com/bchernyFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro (01:15) Did You Expect Claude Code's Success? (04:22) How Claude Code Works and Origins (08:05) Command Line vs IDE: Why Start Claude Code in the Terminal? (11:31) The Evolution of Programming: From Punch Cards to Agents (13:20) Product Follows Model: Simple Interfaces and Fast Evolution (15:17) Who Is Claude Code For? (Engineers, Designers, PMs & More) (17:46) What Can Claude Code Actually Do? (Actions & Capabilities) (21:14) Agentic Actions, Subagents, and Workflows (25:30) Claude Code's Awareness, Memory, and Knowledge Sharing (33:28) Model Context Protocol (MCP) and Customization (35:30) Safety, Human Oversight, and Enterprise Considerations (38:10) UX/UI: Making Claude Code Useful and Enjoyable (40:44) Pricing for Power Users and Subscription Models (43:36) Real-World Use Cases: Debugging, Testing, and More (46:44) How Does Claude Code Transform Onboarding? (49:36) The Future of Coding: Agents, Teams, and Collaboration (54:11) The AI Coding Wars: Competition & Ecosystem (57:27) The Future of Coding as a Profession (58:41) What's Next for Claude Code

The 2025 generative AI image market is a trade-off between aesthetic quality, instruction-following, and user control. This episode analyzes the key platforms, comparing Midjourney's artistic output against the superior text generation and prompt adherence of GPT-4o and Imagen 4, the commercial safety of Adobe Firefly, and the total customization of Stable Diffusion. Links Notes and resources at ocdevel.com/mlg/mla-25 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. The State of the Market The market is split by three core philosophies: The "Artist" (Midjourney): Prioritizes aesthetic excellence and cinematic output, sacrificing precise user control and instruction following. The "Collaborator" (GPT-4o, Imagen 4): Extensions of LLMs that excel at conversational co-creation, complex instruction following, and integration into productivity workflows. The "Sovereign Toolkit" (Stable Diffusion): An open-source engine offering users unparalleled control, customization, and privacy in exchange for technical engagement. Table 1: 2025 Generative AI Image Tool At-a-Glance Comparison Tool Parent Company Access Method(s) Pricing Core Strength Best For Midjourney v7 Midjourney, Inc. Web App, Discord Subscription Artistic Aesthetics & Photorealism Fine Art, Concept Design, Stylized Visuals GPT-4o OpenAI ChatGPT, API Freemium/Sub Conversational Control & Instruction Following Marketing Materials, UI/UX Mockups, Logos Google Imagen 4 Google Gemini, Workspace, Vertex AI Freemium/Sub Ecosystem Integration & Speed Business Presentations, Educational Content Stable Diffusion 3 Stability AI Local Install, Web UIs, API Open Source Ultimate Customization & Control Developers, Power Users, Bespoke Workflows Adobe Firefly Adobe Creative Cloud Apps, Web App Subscription Commercial Safety & Workflow Integration Professional Designers, Agencies, Enterprise Core Platforms Midjourney v7: Premium choice for artistic quality. Features: Web UI with Draft Mode, user personalization, emerging video/3D. Weaknesses: Poor text generation, poor prompt adherence, public images on cheap plans, no API/bans automation. OpenAI GPT-4o: An intelligent co-creator for controlled generation. Features: Conversational refinement, superior text rendering, understands uploaded image context. Weaknesses: Slower than competitors, generates one image at a time, strict content filters. Google Imagen 4: Pragmatic tool focused on speed and ecosystem integration. Features: High-quality photorealism, fast generation, strong text rendering, multilingual. Weaknesses: Less artistic flair; value is dependent on Google ecosystem investment. Stable Diffusion 3: Open-source engine for maximum user control. Features: MMDiT architecture improves prompt/text handling, scalable models, vast ecosystem (LoRAs/ControlNet). Weaknesses: Steep learning curve, quality is user-dependent. Adobe Firefly: Focused on commercial safety and professional workflow integration. Features: Trained on Adobe Stock for legal indemnity, Generative Fill/Expand tools. Weaknesses: Creative range limited by training data, requires Adobe subscription/credits. Tools and Concepts In-painting: Modifying a masked area inside an image. Out-painting: Extending an image beyond its original borders. LoRA (Low-Rank Adaptation): A small file that applies a fine-tuned style, character, or concept to a base model. ControlNet: Uses a reference image (e.g., pose, sketch) to enforce the composition, structure, or pose of the output. A1111 vs. ComfyUI: Two main UIs for Stable Diffusion. A1111 is a beginner-friendly tabbed interface; ComfyUI is a node-based interface for complex, efficient, and automated workflows. Workflows "Best of Both Worlds": Generate aesthetic base images in Midjourney, then composite, edit, and add text with precision in Photoshop/Firefly. Single-Ecosystem: Work entirely within Adobe Creative Cloud or Google Workspace for seamless integration, commercial safety (Adobe), and convenience (Google). "Build Your Own Factory": Use ComfyUI to build automated, multi-step pipelines for consistent character generation, advanced upscaling, and video. Decision Framework Choose by Goal: Fine Art/Concept Art: Midjourney. Logos/Ads with Text: GPT-4o, Google Imagen 4, or specialist Ideogram. Consistent Character in Specific Pose: Stable Diffusion with a Character LoRA and ControlNet (OpenPose). Editing/Expanding an Existing Photo: Adobe Photoshop with Firefly. Exclusion Rules: If you need legible text, exclude Midjourney. If you need absolute privacy or zero cost (post-hardware), Stable Diffusion is the only option. If you need guaranteed commercial legal safety, use Adobe Firefly. If you need an API for a product, use OpenAI or Google; automating Midjourney is a bannable offense.

Taylor Lorenz is a journalist and opinion columnist who covers a wide range of the current tech and online culture. Starting out as a blogger, then hopping onto mainstream media like The Washington Post or The New York Times, she is now back as a freelance journalist yet again, offering her expertise with her independent User Mag publication and her Power User podcast. The interview starts at minute 40:06 into the podcast.

Complex problems often assume complex solutions, but recent observations about increased levels of anxiety and depression, increased reports of loneliness, and lower rates of in-person friendships for teens and children in America today have led some school districts across the country to take direct and simple action: Take away the access to smartphones in schools.Not everyone is convinced. When social psychologist and author Jonathan Haidt proposed five solutions to what he called an "epidemic of mental illness" for young adults in America, many balked at the simplicity. Writing for the outlet Platformer, reporter Zoe Schiffer spoke with multiple behavioral psychologists who alleged that Haidt's book cherry-picks survey data, ignores mental health crises amongst adults, and over-simplifies a complex problem with a blunt solution. And in speaking on the podcast Power User, educator Brandon Cardet-Hernandez argued that phone bans in schools would harm the students that need phones the most for things like translation services and coordinating rides back home from parents with varying schedules. But Haidt isn't alone in thinking that smartphones have done serious harm to teenagers and kids today, and many schools across America are taking up the mantle to at least remove their access in their own hallways. In February, Los Angeles Unified School District did just that, and a board member for the school district told the Lock and Code podcast that he believes the change has been for the better. But for those still in doubt, there's a good reason now to look back. Today, on the Lock and Code podcast with host David Ruiz, we revisit a 2024 interview with Dr. Jean Twenge about her research into the differences in America between today's teens and the many generations that came before. A psychologist and published author, Twenge believes she has found enough data tying increased smartphone use and social media engagement with higher strains on mental health. In today's re-broadcast episode, Twenge explains where she believes there is a mental health crisis amongst today's teens, where it is unique to their generation, and whether it can all be traced to smartphones and social media. According to Dr. Twenge, the answer to all those questions is, pretty much, “Yes.” But, she said, there's still some hope to be found.“This is where the argument around smartphones and social media being behind the adolescent mental health crisis actually has, kind of paradoxically, some optimism to it. Because if that's the cause, that means we can do something about it.”Tune in today to listen to the full conversation.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/Outro Music: “Good God” by Wowa (unminus.com)Listen up—Malwarebytes doesn't just talk cybersecurity, we provide...

In this episode, Gaurav continues his deep dive into the Alfred app for Mac, focusing on the Features pane within the settings. He provides a detailed walkthrough on customizing Alfred to boost productivity and usability, with special attention to voiceover users.Gaurav explores various powerful features of Alfred, including Universal Actions, hotkey configuration, web search customization, and clipboard history management. Through practical demonstrations, he shows how to create shortened URLs, compress files, and streamline workflows—all without leaving Alfred.Highlights include:Features Pane Overview: Customize default search results, specify file and folder searches, and set fallbacks for unmatched queries.Universal Actions: Learn how to configure hotkeys and perform contextual actions on selected text, URLs, and files, like searching, snippet saving, dictionary lookups, and QR code generation.Web Search Shortcuts: Set personalized shortcuts for quick access to Google Images, Amazon, YouTube, and more.Clipboard History: Enable and manage clipboard content for easy retrieval and searching.Additional Tools: Brief introductions to snippets, calculator, dictionary, contacts viewer, music mini player, and OnePassword integration.System Commands: Assign commands for system tasks such as restart, shutdown, and emptying trash.Step-by-step Universal Actions setup:Open Alfred's Features tab and set a hotkey for Universal Actions (e.g., Option + Command + A).Select text, URLs, or files and activate the hotkey.Choose from available actions like search, snippet creation, or file compression.Through these tips and demonstrations, Gaurav aims to help listeners harness Alfred's full potential, making Mac navigation smoother and more accessible—especially for voiceover users.TranscriptDisclaimer: This transcript was generated by AI Note Taker – VoicePen, an AI-powered transcription app. It is not edited or formatted, and it may not accurately capture the speakers' names, voices, or content.Gaurav: Hello everyone. So today we shall continue our series on the Alfred 5 application for the Mac. And today we are going to dive into the Alfred settings once again and doing an even deeper dive on an aspect of the settings pane called the features pane. So if you might remember in one of my previous episodes, I had done a general walkthrough of the Alfred settings. And today we're going to get a deeper dive under the hood of Alfred and really see how to make this app really useful for us via the features tab. So I'm going to invoke Alfred now by pressing my Alfred keyboard shortcut, which is command plus space. application Alfred system dialog and I'm going to go into settings command comma finder mac alfred preferences alfred preferences search I'm going to go to the left most part of the screen with vo fn left arrow search preferences blank search I'm going to vo right arrow alfred sidebar I'm going to sidebar and I'm going to use the up and down arrows once I'm in the alfred sidebar to navigate features…

When Tony Stubblebine took over as CEO of Medium in 2022, the platform was burning $2.5 million a month, bleeding subscribers, and was overrun with content that left founder Evan Williams cringing.  Tony pitched Ev a turnaround built on small teams with access to data, customers, and the freedom to rebuild Medium like a startup from the inside out. He wasn't just another executive parachuting in — Tony had worked with him as head of engineering, later as a power user and publishing partner, and eventually, the person who convinced Ev that he could get things on track. In this episode of Fund/Build/Scale, Tony explains how Medium became profitable for the first time, why the platform banned AI-generated content from its partner program, and how his long history as a user and advisor uniquely prepared him to lead the company through a delicate transformation. RUNTIME 50:14 EPISODE BREAKDOWN (3:41) “ I have a long track record of being associated with Medium for just strange reasons.” (7:16) “ Maybe I'm crazy, but I thought on day one, ‘oh, this is a guaranteed win.'” (9:52) “ I think CEOs are delusional, and some amount of delusion is probably healthy.” (12:34) “ Precision is not possible without a combination of data science and user research or words.” (14:30) Creating customer feedback loops in a 13-year-old company (19:49) “ I would almost say there's no product to manage yet because we're making it, and we're making it together.” (20:17) The two mandates Evan Williams gave Tony when he hired him as CEO (24:23) “I  knew even if we could grow subscribers, it would be on the back of this content that we weren't proud of.” (25:45) Why Medium banned AI-generated content from its partner program: “ We're a pro-human product.” (30:11) “ We love human moderation. We love our trust and safety team.” (36:28) “ We're trying to be a place where a different set of writers will win on Medium than will win on these other platforms.” (40:46) “ One hundred percent: Medium is for experience, not for influencers.” (42:35) “ I really like to be a champion for what I would call ‘white hat content marketing.'” (46:45) “ It's wild to me that the art of blogging has not been perfected this many decades into it.” (48:17) “ It's impossible to understand how many niches there are.” LINKS Medium Tony Stubblebine Tony's Medium profile Mark Suster Cal Newport Flow: The Psychology of Optimal Experience, Mihaly Csikszentmihalyi SUBSCRIBE

Sun, 18 May 2025 21:00:00 GMT http://relay.fm/mpu/797 http://relay.fm/mpu/797 "A Power User in Life," with Jaimee Finney 797 David Sparks and Stephen Hackett Jaimee Finney joins the guys to discuss her career, which has been full of twists and turns, but has always been defined by making great products infused with creativity and passion. Jaimee Finney joins the guys to discuss her career, which has been full of twists and turns, but has always been defined by making great products infused with creativity and passion. clean 4086 Jaimee Finney joins the guys to discuss her career, which has been full of twists and turns, but has always been defined by making great products infused with creativity and passion. This episode of Mac Power Users is sponsored by: 1Password: Never forget a password again. Squarespace: Save 10% off your first purchase of a website or domain using code MPU. Guest Starring: Jaimee Finney Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Alfred Field Guide | MacSparky Field Guides Mac Power Users #796: The Alfred Field Guide - Relay Coffee with Jaimee Picture This Clothing PlayStudios Hollyland Lark M2S Combo - Amazon Microsoft Outlook for Mac Microsoft OneNote Asana Miro FigJam Use tags in Notes on Mac - Apple Support Organize your notes with tags on iPhone - Apple Support WidgetWall - Amico Apps Dashboard - 512 Pixels Trello WidgetWall on Setapp CleanShot X for Mac Alfred Gallery • Workflows • CleanShot X QuitAll - Amico Apps Bartender 5 Mac Power Users #787: Revisiting Our Mac Menu Bars - Relay C

In this episode, I sit down with Michelle Pokrass, who leads post-training at OpenAI and played a key role in the launch of GPT-4.1 and their upcoming RFT offering. We unpack how OpenAI prioritized instruction-following and long context, why evals have a 3-month shelf life, what separates successful AI startups, and how the best teams are fine-tuning to push past the current frontier.If you've ever wondered how OpenAI really decides what to build, and how it affects what you should build, this one's for you. (0:00) Intro(1:03) Deep Dive into GPT-4.1 Development(2:23) User Feedback and Model Evaluation(4:01) Challenges and Improvements in Model Training(5:54) Advancements in AI Coding Capabilities(9:11) Future of AI Models and Fine-Tuning(20:44) Multimodal Capabilities(22:59) Deep Tech Applications and Data Efficiency(24:14) Preference Fine Tuning vs. RFT(26:29) Choosing the Right Model for Your Needs(28:18) Prompting Techniques and Model Improvements(32:10) Future Research and Model Enhancements(39:14) Power Users and Personalization(40:22) Personal Journey and Organizational Growth(43:37) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

In this special edition of the Job Shop Show, we hit the floor at the 2025 Paperless Parts Power User Conference, where over 250 of the nation's most forward-thinking shop owners gathered. We asked attendees three big questions—from their outlook on 2025 to where they'd invest $500K—and captured their candid, insightful responses. Tune in for a pulse on the industry's priorities and predictions straight from the shop floor.

In this installment of AI Corner, Siadhal Magos, the CEO of Metaview, and Nolan Church explore the emerging trend of "CEO AI mandates" from the likes of Tobias Lütke and Aaron Levie at Box.*Email us your questions or topics for Kelli & Nolan: hrheretics@turpentine.coFor coaching and advising inquire at https://kellidragovich.com/HR Heretics is a podcast from Turpentine.Support HR Heretics Sponsors:Thatch makes it easy to give your team great healthcare. Save ~$1620 per employee yearly while giving them customizable plans. Visit https://thatch.AI/HR for a demo and receive a $100 gift card.Planful empowers teams just like yours to unlock the secrets of successful workforce planning. Use data-driven insights to develop accurate forecasts, close hiring gaps, and adjust talent acquisition plans collaboratively based on costs today and into the future. ✍️ Go to https://planful.com/heretics to see how you can transform your HR strategy.Metaview is the AI assistant for interviewing. Metaview completely removes the need for recruiters and hiring managers to take notes during interviews—because their AI is designed to take world-class interview notes for you. Team builders at companies like Brex, Hellofresh, and Quora say Metaview has changed the game—see the magic for yourself: https://www.metaview.ai/hereticsKEEP UP WITH SIADHAL, NOLAN + KELLI ON LINKEDINSiadhal: https://www.linkedin.com/in/siadhalNolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—LINK/S: The 6 Steps to Master AI: TIMESTAMPS:(00:00) Intro(00:33) The CEO AI Mandate Trend(01:22) Siadhal's Take on AI Mandates(02:35) AI Orchestration as a Career Necessity(03:00) Headcount Management in the AI Era(04:04) AI Leverage vs. Team Size(06:03) Sponsors: Thatch | Planful(08:13) AI Upskilling and Education(09:21) Personal AI Tuition in Organizations(10:18) The Reflexive AI Problem-Solving Approach(11:27) Show and Tell: Learning from Power Users(12:00) Knowing What's Possible as Motivation(13:22) Carrot vs. Stick: Recognizing AI Adoption(14:38) Beyond AI as a Metric: Performance is the Goal(15:34) Wrap(15:58) Sponsor: Metaview This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

#344 In today's episode, Peg Fitzpatrick chats with Erik Fisher on the topic of social media for small business. Peg is the co-author along with Guy Kawasaki of the book The Art of Social Media: Power Tips for Power Users. In this conversation we're diving into social media for small businesses, tackling the common misconceptions and challenges business owners face when entering into the digital world. (Original Air Date - 2/28/24) What we with discuss Peg: + The significance of reaching the right people versus large follower counts + Tailoring content for specific audiences + Managing multiple roles and the necessity of delegating social media tasks + Training an internal team member, using resources like Meta's training for Instagram and Facebook + Creating brand guidelines and leveraging free educational resources + Allocating time for social media check-ins and engagement + Planning and scheduling content to ensure consistency + Using an editorial calendar for planning + Misconceptions about the role of social media in sales and customer service + The cost vs. benefit analysis of hiring a social media manager + Choosing platforms based on personal enjoyment + Creating a brand persona and identifying the ideal customer + Using brand personas to tailor content for specific customer groups + Importance of an editorial calendar for content organization +Combining a basic landing page with an active social media presence + Incorporating traditional marketing with social media strategies Links and resources from this episode: Find more of Peg's content The Art of Social Media: Power Tips for Power Users Meta Blueprint Training Plann That Thank you, Peg! If you enjoyed this episode with Peg Fitzpatrick, let us know by clicking on any of the links below to send him a quick shout-out! For more information go to MillionaireUniversity.com To get access to our FREE Business Training course go to MillionaireUniversity.com/training. And follow us on: Instagram Facebook Tik Tok Youtube Twitter To get exclusive offers mentioned in this episode and to support the show, visit millionaireuniversity.com/sponsors. Want to hear from more incredible entrepreneurs? Check out all of our interviews here! Learn more about your ad choices. Visit megaphone.fm/adchoices

Quiet luxury. Clean girl. Old money. Trad living. Kylie Jenner's pivot from Black culture vulture to glass skin pilates princess. College youth dressed like polyester Shein replicas of Reagan-era prepsters. Something's happened, and I'm uncomfortable. Listen to bonus episodes on Patreon! Work smarter, not harder, with Factor meals ready in two minutes at https://www.factormeals.com/fruity50off.   Start managing your money better and cancel unwanted expenses at https://www.rocketmoney.com/fruity.  SUBSCRIBE TO KAT'S NEWSLETTER! SUBSCRIBE TO TAYLOR'S NEWSLETTER! Listen to Taylor's podcast, Power User. Follow me on Instagram. Follow A Bit Fruity on Instagram. Learn more about your ad choices. Visit megaphone.fm/adchoices

The remarkable dissonance between the public's embrace of UnitedHealthcare CEO assassin Luigi Mangione and the mainstream media's outward disdain for both Luigi and the public's martyrization of him has been… bizarre. In a rare moment where the culture war has been traded in for the class war, billionaire-owned media corporations and politicians alike seem to be panicking. That panic should be a moment of clarity for everyday Americans. Support me + listen to bonus episodes on Patreon! Listen to Taylor's podcast, Power User.  Subscribe to Taylor's newsletter, User Mag. Subscribe to Ken Klippenstein's Substack. Work smarter, not harder, with Factor meals ready in two minutes at www.factormeals.com/fruity50.  Me on Instagram. A Bit Fruity on Instagram. Learn more about your ad choices. Visit megaphone.fm/adchoices

This was the first election where the online far-right radicalization of young boys and men revealed itself in exit polls. After years of being fed diet-incel podcasts, one thing is clear: Gen Z will not, by some inherent virtue of youth, save us. Today, Taylor Lorenz and I break down the “epidemic of male loneliness”, the influencers exploiting it, the conservative media machine that funds them, and why we can't just make a “leftist Joe Rogan.” Support me + listen to bonus episodes on Patreon! Listen to Taylor's podcast, Power User.  Protect yourself online, wherever you go. Get a discount on NordVPN at www.nordvpn.com/fruity.  Start managing your money better and cancel unwanted expenses at www.rocketmoney.com/fruity.  Me on Instagram. A Bit Fruity on Instagram. Learn more about your ad choices. Visit megaphone.fm/adchoices