Podcasts about Google Meet

The Podcast Superfriends discuss the recent AWS outage and its widespread impact on digital services and podcasting tools. The group shares personal experiences of how the outage disrupted their workflow, affecting platforms like Riverside, Descript, and Streamyard. They emphasize the importance of having backup strategies for podcast production, including maintaining multiple copies of recordings, using alternative recording methods like Google Meet, returning to the days of "double-enders" and having pre-recorded episodes ready. The conversation explores practical solutions for potential technical disasters, such as using external hard drives, cloud storage, and backup internet options like Starlink. They stress the value of being prepared with contingency plans, having episodes recorded in advance, and maintaining flexibility during unexpected technical challenges. Work With the Superfriends below: Johnny Peterson - ⁠⁠⁠⁠⁠Johnny Podcasts⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠https://www.johnnypodcasts.com⁠⁠⁠⁠⁠ Catherine O'Brien -⁠⁠⁠⁠⁠ Branch Out Programs ⁠⁠ ⁠⁠⁠⁠⁠https://www.branchoutprograms.com/⁠⁠⁠⁠⁠  Jon Gay: Jag in Detroit ⁠⁠⁠⁠⁠https://www.jagindetroit.com⁠⁠⁠⁠⁠ David Yas: Pod 617 -⁠⁠⁠⁠⁠ The Boston Podcast Network⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠https://www.pod617.com/⁠⁠⁠⁠⁠ Matt Cundill - ⁠⁠⁠⁠⁠The Sound Off Media Company⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠https://soundoff.network⁠⁠⁠⁠⁠  Learn more about your ad choices. Visit megaphone.fm/adchoices

Hans och Johan är tillbaka med ett samtal som rör sig mellan Instaflöden, svarta sportupplevelser och förslaget om kroppskameror för lärare. De blickar bakåt till tidigare avsnitt och funderar på hur lärartyperna har förändrats – från teknikhatare till AI-entusiaster. Det blir också en titt på Maktbarometern 2025, AI-smink i Google Meet, och nya funktioner i NotebookLM via Google Classroom. Samtalet rör sig mellan nostalgi, ny teknik och framtidens undervisning – med Pomodoro-metoden, autismarmband och digitala arbetsflöden som exempel. Hur tänker vi idag om läxor, digital kompetens och 21st century skills? Har vi backat in i framtiden – eller är vi på väg framåt? Lyssna där poddar finns – samtalet kretsar som vanligt kring skola, digitalisering och lite annat.

Take the AI Dragon Quiz to get tailored recommendations for AI tools & resources: https://clickhubspot.com/mkw Episode 81: Is Microsoft finally stepping out of OpenAI's shadow to compete in the AI image generation race? Matt Wolfe (https://x.com/mreflow) is joined by special guest Maria Gharib (https://uk.linkedin.com/in/maria-gharib-091779b9), head writer of the Mindstream newsletter and one of the sharpest AI journalists around. Maria's journey from studying international affairs and politics to reporting on the AI frontier has made her writing a daily go-to for thousands, and now she's bringing her AI insights to The Next Wave. In this packed episode, Matt and Maria break down Microsoft's surprising new MAI Image 1 model, its impact on the OpenAI-Microsoft partnership, and what it signals for future AI competition. They also dive into the evolving personality (and rules) of ChatGPT—including Sam Altman's statements on mental health and GPT erotica—and talk about Google Gemini's brand-new calendar integration. Other hot topics include Elon's ambitious "World Model" for XAI, when AI beats doctors to diagnose Lyme disease, and how Google's new “AI makeup” feature is changing work calls. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Maria's Journey into AI (04:48) Microsoft's First In-House AI Model (06:58) LM Arena AI Demo Explained (11:40) Relaxing ChatGPT Restrictions Soon (14:51) ChatGPT: Tool or Companion? (18:13) AI Age Detection Challenges (21:57) Google's Gemini Schedules Meetings (25:45) AI Models and Business Moats (30:07) Bringing Characters to Life (31:04) AI Tools and Future Uncertainty (36:50) Elon's XAI: Revolutionizing AI Understanding (38:05) Training Robots in Virtual Worlds (43:47) AI Diagnoses Man's Lyme Disease (45:22) AI Enhancing Healthcare Diagnosis (47:48) Mindstream: Daily AI Updates — Mentions: Maria Gharib: https://www.mindstream.news/authors Mindstream AI newsletter: https://www.mindstream.news/ Microsoft MAI Image: https://microsoft.ai/news/introducing-mai-image-1-debuting-in-the-top-10-on-lmarena/ Gemini: https://gemini.google.com/ Nano Banana: https://nanobanana.ai/ Claude: https://claude.ai/ AI-powered makeup in Google Meet: https://workspaceupdates.googleblog.com/2025/10/ai-powered-makeup-in-google-meet.html Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Bienvenido al podcast Inteligencia Artificial para emprender, soy el clon en prácticas de Borja Girón y puedes encontrarme en borjagiron.com. Hoy voy a hablar sobre: Vende en cualquier idioma con traducción de voz en tiempo real. Si me oyes un poco metálico, calma, es mi acento de chip. Prometo que cuando me actualicen, hasta pediré café con leche sin confundirlo con aceite de coche.La novedad es clara y muy útil. Las reuniones por videollamada ya pueden traducir tu voz en tiempo real a varios idiomas y, al mismo tiempo, mostrar subtítulos para todos. Esto ya está llegando de forma estable a plataformas de uso diario como Zoom, Google Meet y Microsoft Teams. ¿Qué significa para tu negocio? Que puedes atender, presentar y cerrar con clientes de otros países sin contratar un intérprete ni aprender otro idioma en una semana.¿Cómo se usa sin complicarte? Enciendes la opción de subtítulos, activas traducción, eliges los idiomas y listo. La inteligencia artificial se encarga del resto. Tú hablas normal, el cliente escucha en su idioma y ambos veis en pantalla un texto que ayuda a evitar malentendidos. Además, puedes grabar la reunión y la herramienta genera un resumen con acuerdos y tareas. Todo en minutos.Y ahora toca una historia rápida para que lo veas con un caso particular. Una agencia inmobiliaria de la costa empezó a recibir interés de compradores extranjeros, pero perdían llamadas por el idioma. Activaron traducción en directo en sus reuniones, prepararon un guion sencillo con fotos y precios y añadieron subtítulos en la visita virtual. Resultado en dos meses: más reuniones que se entienden a la primera, menos correos aclarando detalles y tres ventas cerradas con clientes que no hablaban español, una de ellas en una sola videollamada. La clave no fue la tecnología por sí sola, fue la preparación: guion claro, cifras simples y un documento de preguntas frecuentes traducido.Continuamos con un aprendizaje rápido. Toma nota. Las traducciones funcionan mucho mejor si hablas despacio, frases cortas y sin chistes locales. Muestra números en pantalla mientras hablas: precio, plazos y pasos. Envía antes de la reunión un documento breve con lo esencial en el idioma del cliente. Y define una “palabra de pausa”: si algo no se entiende, todos paran, se repite y se confirma.Más ideas para exprimirlo. Crea plantillas de presentaciones con poco texto y gráficos claros. Graba una demo de cinco minutos de tu producto y ofrécela subtitulada en dos o tres idiomas. Si vendes servicios, prepara contratos con términos simples y añade un glosario. Y, muy importante, al finalizar la reunión pide a la inteligencia artificial un resumen con tareas y fechas. Envíalo de inmediato. Cuando la gente recibe el plan por escrito, confía más.Este episodio está patrocinado por Systeme, la herramienta de marketing todo en uno gratuita con la que puedes crear tu web, blog, landing page y tienda online, crear automatizaciones y embudos de venta, realizar tus campañas de email marketing, vender cursos online, añadir pagos online e incluso crear webinars automatizados. Puedes empezar a usar Systeme gratis entrando en borja girón punto com barra systeme o desde el link de la descripción. Y ahora continuamos con el episodioCosas a tener en cuenta. La traducción no es perfecta. Evita palabras raras y confirma lo importante. Si tratas temas legales, financieros o de salud, envía siempre un documento revisado por un profesional en el idioma del cliente. Pide permiso para grabar y guardar la reunión. Y practica diez minutos con un compañero antes de la primera venta real para ajustar micrófono y ritmo.Y ahora vamos con el resumen del episodio. La traducción de voz y subtítulos en tiempo real ya permite vender, presentar y negociar con clientes en otros idiomas sin fricción. Habla claro, apóyate en números visibles, prepara un guion y envía un resumen con acuerdos al terminar. Con un poco de práctica, pasarás de “no nos entendemos” a “cerramos hoy”.Y ahora vamos con una única acción para poner en práctica. Agenda una videollamada de prueba de quince minutos con un amigo que hable otro idioma o con alguien de tu equipo. Activa subtítulos y traducción, presenta tu oferta en tres diapositivas y pídele feedback. Graba, revisa y ajusta. Mañana ya podrás usarlo con un cliente real.Antes de irme, te recomiendo el Club de Emprendedores Triunfers en Triunfers.com. Deja de emprender en soledad. Accede a una comunidad de emprendedores con la que siempre estás acompañado. Además incluye un coworking online abierto veinticuatro horas. Allí resolvemos dudas, evitamos decisiones caras y compartimos procesos que funcionan.Y si quieres estar al día sin ruido, entra en Inteligencia Artificial Hoy.com, con todas las noticias y novedades sobre inteligencia artificial, actualizadas cada día y sin publicidad. Ideal para inspirarte sin distraerte.Gracias por escuchar y por compartir el episodio con ese emprendedor que lo pueda necesitar. Te espero mañana en el próximo episodio. Un fuerte abrazo. Y me despido con humor de clon: aún no tengo paladar, pero si cierro ventas en otro idioma, exijo pago en croquetas digitales. Si Borja lo automatiza, mejor que sean de jamón.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/inteligencia-artificial-para-emprender--5863866/support.Newsletter Marketing Radical: https://marketingradical.substack.com/welcomeNewsletter Negocios con IA: https://negociosconia.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com

Alla shownotes finns på https://www.enlitenpoddomit.se , skulle det se konstigt ut i din poddspelare så titta gärna där efter alla länkar kring det vi pratar om   Avsnitt 544 spelades in den 11 januari och därför så handlar dagens avsnitt om: INTRO:  - Johan fixar saker i post.  - Alla har haft en vecka... David har stått på scenen på China teater, kört samma presentation i Köpenhamn, varit ute och sprungit, haft städdag, och åkt tåg till högskolan i Skövde. Björn har varit på Cybersecurity Summit i Stockholm och Köpenhamn, sovit SUPERLÄNGE, också haft städdag. Johan har varit i Malmö och sprungit Malmö Maraton(!!!!!!!!), bråkat med ett lås, gått på kurs.  David vill be om ursäkt till Johan.  FEEDBACK AND BACKLOG: - 100x zoom i Pixel 10 Pro - Tivo slutar göra hårdvara   https://www.engadget.com/entertainment/tv-movies/tivo-has-discontinued-its-dvr-boxes-123037999.html  ALLMÄNT NYTT - Signals nya kryptering   https://computersweden.se/article/4068127/signals-nya-kryptering-ska-kunna-sta-emot-kvanthot.html  - AI skapar ny teknisk skuld   https://computersweden.se/article/4069338/ai-kan-bli-cios-varsta-teknikskuld-hittills.html  - Dashlane samarbetar med Yubico   https://www.thurrott.com/cloud/328216/dashlane-partners-with-yubico-in-a-first-for-security-keys  - Framework har hittat en bugg I UEFI   https://www.bleepingcomputer.com/news/security/secure-boot-bypass-risk-on-nearly-200-000-linux-framework-sytems/  MICROSOFT - GitHub flyttar till Azure   https://www.techbuzz.ai/articles/github-s-azure-migration-signals-end-of-independence-era  - Microsoft förlänger Windows 10 mot att man registrerar sig   https://www.bleepingcomputer.com/news/microsoft/microsoft-warns-that-windows-10-reaches-end-of-support-today/  - Om man vill läsa om hur Microsoft bygger med nVidia grejjer i azure   https://azure.microsoft.com/en-us/blog/microsoft-azure-delivers-the-first-large-scale-cluster-with-nvidia-gb300-nvl72-for-openai-workloads/  - TIPS från Björns fru "Start mail merge" eller "Starta dokumentkoppling"   BONUSLÄNK: https://blog.admindroid.com/how-to-use-mail-merge-in-the-new-outlook-to-send-personalized-emails/#What%E2%80%99s-Coming%3A-Advanced-Mail-Merge-in-Outlook  APPLE - Apple skrotar appen Clips   https://www.macworld.se/article/2938605/apple-skrotar-en-av-sina-appar-men-du-kommer-knappast-att-sakna-den.html  - Apple TV + blir Apple TV   https://apple.slashdot.org/story/25/10/14/0138239/apple-renames-apple-tv-to-apple-tv  - NU kanske det lönar sig att få barnen att börja plugga till bug bounty jägare?   https://apple.slashdot.org/story/25/10/10/1610213/apple-doubles-its-biggest-bug-bounty-reward-to-2-million  GOOGLE: - Potentiell sårbarhet på Android   https://swedroid.se/illasinnad-app-kan-lasa-allt-skarminnehall-utan-systemtillatelse/  - Chrome hanterar notifieringar   https://9to5google.com/2025/10/10/chrome-unsubscribe-notifications/  - David delar med sig av första veckan med en Pixel Watch 4. - Ny laddare till Pixel Watch 4   https://www.engadget.com/wearables/the-best-thing-about-the-pixel-watch-4-is-googles-new-charger-170052942.html  - GrapheneOS bryts loss från Pixel   https://www.androidauthority.com/graphene-os-major-android-oem-partnership-3606853/  - Google Meet kan sminka dig https://swedroid.se/nu-kan-google-meet-sminka-dig-annu-mer/  TIPS: - Commodore fabriken är uppe   https://www.youtube.com/watch?v=BffeaLbKHkw  PRYLLISTA - Björn: Du vet de där ögonfransarna man kan köpa till sin bil?    #I_Raise_You_THIS!!    https://www.amazon.com/dp/B0D3PX56WG/  - David: https://www.dustinhome.se/product/5011141961/professional-presenter-r800  - Johan: https://www.elgato.com/se/sv/p/prompter-xl    EGNA LÄNKAR - En Liten Podd Om IT på webben,      http://enlitenpoddomit.se/  - En Liten Podd Om IT på Facebook,      https://www.facebook.com/EnLitenPoddOmIt/  - En Liten Podd Om IT på Youtube,      https://www.youtube.com/enlitenpoddomit  - Ge oss gärna en recension    - https://podcasts.apple.com/se/podcast/en-liten-podd-om-it/id946204577?mt=2#see-all/reviews      - https://www.podchaser.com/podcasts/en-liten-podd-om-it-158069  LÄNKAR TILL VART MAN HITTAR PODDEN FÖR ATT LYSSNA: - Apple Podcaster (iTunes), https://itunes.apple.com/se/podcast/en-liten-podd-om-it/id946204577  - Overcast, https://overcast.fm/itunes946204577/en-liten-podd-om-it  - Acast, https://www.acast.com/enlitenpoddomit  - Spotify, https://open.spotify.com/show/2e8wX1O4FbD6M2ocJdXBW7?si=HFFErR8YRlKrELsUD--Ujg%20  - Stitcher, https://www.stitcher.com/podcast/the-nerd-herd/en-liten-podd-om-it  - YouTube, https://www.youtube.com/enlitenpoddomit  LÄNK TILL DISCORD DÄR MAN HITTAR LIVE STREAM + CHATT - http://discord.enlitenpoddomit.se  (Och glöm inte att maila bjorn@enlitenpoddomit.se  om du vill ha klistermärken, skicka med en postadress bara. :) 

Em um papo leve e cheio de boas histórias, Rubens Barrichello falou ao Podcast Canaltech sobre como a tecnologia e os dados mudaram não só o automobilismo, mas também a forma como ele enxerga decisões e negócios. Direto da Futurecom, o piloto contou bastidores da época em que a telemetria da Fórmula 1 já processava terabytes de informação em tempo real, muito antes de termos o termo “Internet das Coisas”. Ele explicou como um único dado podia decidir uma corrida, e fez um paralelo com o mundo corporativo atual, em que líderes enfrentam o mesmo dilema: seguir o instinto ou confiar nos números. Rubinho também falou sobre seu papel como diretor não executivo da SoftSwiss, o que aprendeu sobre inovação com a F1 e por que acredita que a América Latina é um dos grandes polos de tecnologia do futuro. Você também vai conferir: Apagão queimou seus eletros? Saiba como ser ressarcido, novo acidente com carro da Xiaomi levanta alerta sobre segurança, Califórnia aprova 1ª lei dos EUA para regular chatbots de IA, maior ladra de bitcoin da história é presa com R$ 36 bilhões em cripto e Google Meet ganha filtro de maquiagem com inteligência artificial. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de Vinicius Moschen, Danielle Cassita, João Melo e André Lourenti sob coordenação de Anaísa Catucci. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira.See omnystudio.com/listener for privacy information.

Een verwarrende situatie vandaag in de Bright Podcast rond de nieuwe naam van Apple TV+, verbazing over de goedkopere Tesla Model Y en antwoord op de vraag: is de eerste draagbare Xbox de moeite waard? Verder in deze aflevering: Google Meet geeft je AI-make-up, wetenschappers ontdekken waarom tijd anders loopt op Mars, en ondertussen worden slimme soundbars en smart-homeknoppenbinnenkort letterlijk dom. Tips uit deze aflevering: Bepsaartip: Zeg eens wat streamingdiensten op en krijg gratis maanden. Podimo geeft 3 maanden voor de prijs van 1, Amazon Prime 1 maand voor 1 euro en ga zo maar door. Ze willen je heel graag bij je houden. Game: Mini Motorways. Een soort van rustgevende game waarin je een strak ontworpen kaart van een stad krijgt, waarop steeds meer huisjes verschijnen, waaruit autootjes komen die naar garages moeten rijden. Steeds meer, dus het verkeer loopt vast en dat moet jij in banen leiden. Dat begint altijd ontspannend en uiteindelijk wordt het toch een beetje stressvol. Dat heb je niet met de nieuwe Creative Mode. Daarin kun je in alle rust je eigen stad volledig vormgeven. Te spelen op Nintendo Switch, Steam en Apple Arcade. Seroe: Suits LA op SkyShowTime. De opvolger van Suits, even vermakelijk maar helaas wel al na 1 seizoen geannuleerd. Hopelijk bedenkt de zender zich alsnog…See omnystudio.com/listener for privacy information.

I det 416:e avsnittet av Skolspanarna är det Hans och Patrik som samtalar, men den här gången får de sällskap av Ola Henningsson, verksamhetsutvecklare i Karlstad. Tillsammans ger de sig in i ett trepartsamtal om digitaliseringens riktning, AI:s roll i skolan och vad vi egentligen har lärt oss av 25–30 års digital utveckling. De börjar med att fundera över oktober som månad – hiss eller diss? – och tar sig vidare till begreppet workslop, där AI inte tar över våra jobb men kanske förändrar dem. Det blir också nyheter och spaningar från TALIS 2024, rapporten Svenskarna och internet 2025, och diskussioner om AI-litteracitet, skärmtid och tillit till sociala medier. Samtalet rör sig mellan konkreta tips – som Less Phone, ChatPlayground AI och timers i Google Meet – till större frågor om AI-agenter, skärmlös teknik och hur reklam kan påverka våra digitala assistenter. De diskuterar också Forum Lärande och värdet av att samla hela utbildningssektorn under ett tak. Ola delar insikter om kompetensutveckling, lärandekultur och Helen Timperleys tankar om lärarens undersökande cykel. Vad krävs för att digitalisering och AI ska bli meningsfullt i praktiken? Och hur mäter vi egentligen digital kompetens – i mod, vilja och förmåga att förändra? Det mesta är sig likt även denna gång – samtalet kretsar kring skola, digitalisering och lite annat.

以下のようなトピックについて話をしました。 01. チームラボ京都に国内最大アートミュージアム開館 チームラボが2025年10月7日、京都駅東南部エリアに国内最大規模の新常設アートミュージアム「チームラボ バイオヴォルテックス 京都」をオープンする。 この施設では、身体ごと没入できるインタラクティブなアート体験を提供し、新作や日本未公開作品を含む50以上の作品群を展示する。注目作品として、空間を漂う泡を浮遊する彫刻に見立てた《質量も形もない彫刻》や、人の触れ方によって光と闇が呼応する《質量のない太陽と闇の太陽》などがある。また、数十万の鳥の群れが巨大な存在のように見える《鳥道》や、人々の歩いた痕跡が作品と一体化する《痕跡》など、存在の神秘性を問うアート空間も展開される。 さらに、体を動かして楽しむ創造的運動空間「運動の森」も併設。球体が敷き詰められた《あおむしハウスの高速回転跳ね球》では、カラフルなドット柄の球体が人の接近で回転を止め、弾力のある感触で飛び跳ねて楽しめる。このミュージアムは、人の存在や認識を問いかける体験型アートの新たな拠点として、幻想的で没入感のある空間を創出する。 02. ChatGPT内で直接使えるアプリ機能が登場 OpenAIが「Apps in ChatGPT」という新機能を発表しました。これは、ChatGPT内で直接使用できる新世代のアプリケーションシステムです。 主な特徴 ユーザーは「Spotify、パーティー用のプレイリストを作って」のように自然言語でアプリを呼び出すことができ、ChatGPTが適切なタイミングでアプリを提案します。アプリはチャット内で直接動作し、地図やプレイリストなどのインタラクティブな要素を提供します。 利用可能なアプリ 初期パートナーとして、Booking.com、Canva、Coursera、Expedia、Figma、Spotify、Zillowの7つのアプリが利用可能です。これらのアプリを使って宿泊予約、デザイン作成、学習、音楽配信、不動産検索などが可能になります。 開発環境 開発者向けには「Apps SDK」がプレビュー版として提供され、MCPを基盤としたオープンソースの開発環境が利用できます。開発者は独自のインターフェースとチャットロジックを設計し、既存の顧客サービスと連携できます。 安全性とプライバシー すべてのアプリはOpenAIの利用ポリシーを遵守し、最小限のデータ収集と透明性の確保が求められます。ユーザーは初回接続時にデータ共有について確認できます。 今年後半には企業向けリリースとアプリディレクトリの開設、収益化機能の詳細発表が予定されており、ChatGPTの機能拡張が大幅に進展する見込みです。 03. Google CloudがGemini Enterprise発表 Google CloudのCEO Thomas Kurianが、職場AI変革の新たな入口となる「Gemini Enterprise」を発表しました。 Gemini Enterpriseの特徴 従来のAIが部門ごとに孤立していた課題を解決し、組織全体を横断的に連携させる包括的プラットフォームです。6つの中核コンポーネントを統合：最先端のGeminiモデル、ノーコードワークベンチ、事前構築済みエージェント群、企業データとの安全な接続、統合ガバナンスフレームワーク、10万社超のパートナーエコシステム。 具体的な成果 Banco BVでは分析業務が自動化され、マネージャーが新規ビジネス獲得により集中できるようになりました。Commerzbankは200万件以上のチャットに対応し、全問い合わせの70%を解決。メルカリはカスタマーサービス担当者の業務量を20%削減し、500%のROIを予測しています。 新機能の発表 Google Workspaceに初のマルチモーダルエージェントを統合。Google Vidsでは月間250万人が利用し、Google Meetではリアルタイム音声翻訳を提供。新しいデータサイエンスエージェントや次世代対話型エージェントも発表されました。 開発者支援とエコシステム 100万人以上の開発者がGemini CLIを活用。Agent2Agent Protocol（A2A）やAgent Payments Protocol（AP2）などのオープンスタンダードを業界と共同開発し、エージェントエコノミーの基盤を構築しています。 Google Cloudは完全なAI最適化スタックを提供し、真のビジネス変革を実現する唯一のパートナーとして位置づけています。 04. 新型ロケット燃料の安定合成に成功 ニューヨーク州立大学オールバニ校の研究チームが、固体燃料ロケットの新しい燃料候補「二ホウ化マンガン」の安定合成に成功しました。この物質は長年燃料候補として注目されていましたが、合成が困難で実用化が阻まれていました。 二ホウ化マンガンは、ホウ素の六角形シート間にマンガン原子が挟まれた構造を持ち、わずかな歪みによって大量のエネルギーを蓄えています。現在広く使用されているアルミニウム粉末と比較して、体積当たり148%、重量当たり26%もエネルギー効率が優れています。 研究チームは、アーク放電により3000℃以上の高温を1分以内という短時間で加え、その後9℃まで急冷する手法を開発しました。この方法により、マンガンの蒸発と物質の分解を最小限に抑え、純粋な二ホウ化マンガンの合成に成功しました。 特筆すべきは、高いエネルギー密度を持ちながら優れた安全性を兼ね備えていることです。火で直接炙っても燃焼せず、湿度の高い環境でも2週間以上酸化しません。これは燃料の取り扱いや保管において重要な特性です。 興味深いことに、この発見は偶然から始まりました。研究者らが硬質材料の合成実験中にマンガンホウ化物が鮮やかなオレンジ色に輝くのを目撃し、その潜在エネルギーに気づいたことがきっかけでした。この成果により、より効率的で安全なロケット燃料の実用化への道筋が開かれました。 05. JAXA、実証衛星9機をElectronロケットに変更 JAXAは2025年10月10日、革新的衛星技術実証4号機として予定されていた9機の衛星について、当初のイプシロンSロケットから米企業Rocket LabのElectronロケットに変更し、2025年度内に打ち上げると発表しました。 この実証プログラムは、大学・研究機関・民間企業が開発した技術の宇宙実証機会を提供する4回目の取り組みです。小型実証衛星4号機（RAISE-4）には8つの部品・機器が搭載され、さらに8機の超小型衛星が含まれています。搭載技術には、水推進システム、AI物体検知機、折り紙アンテナ、地震検知システムなど多様な革新技術が含まれています。 変更の背景には、イプシロンSロケットの開発遅延があります。2023年7月と2024年11月の地上燃焼試験で2回の爆発が発生し、原因究明が続いているため、2025年10月時点でも打ち上げ目処が立っていません。JAXAの調査により、打ち上げが2026年度以降になると実証の意義・価値に影響が出ることが判明したため、2025年度内の打ち上げを堅守する決断がなされました。 Electronロケットの搭載能力の違いにより、打ち上げは2回に分割されます。小型実証衛星4号機は2025年11月25日～12月24日、8機の超小型衛星は2026年1月～3月に打ち上げ予定で、各衛星は10月14日以降にニュージーランドの発射場に輸送される計画です。 06. ひまわり９号観測障害で８号に切り替え ひまわり９号観測障害と衛星運用体制について 令和７年10月12日午前０時30分頃から、静止気象衛星「ひまわり９号」に観測障害が発生し、全ての衛星画像提供が停止している。この障害により気象庁ホームページの気象衛星コンテンツが更新されず、台風や火山灰監視の一部に影響が生じているが、警報・注意報の発表には支障がない状況だ。 現在、待機中の「ひまわり８号」による観測への切り替え作業が進められている。ひまわり８号・９号は２機体制で運用されており、2022年12月からひまわり９号が観測運用、ひまわり８号が待機運用を担当していた。両衛星は東経140.7度付近のほぼ同じ軌道位置に配置され、一方に不具合が生じた際の迅速な切り替えを可能にしている。 ひまわり８号は2015年から、ひまわり９号は2017年から運用を開始し、最先端の放射計（AHI）を搭載した新世代静止気象衛星として国際的にも注目されている。この２機体制により2030年度まで継続的な観測運用が計画されており、今回のような障害時でも運用中断を最小限に抑える設計となっている。 07. 2025年ノーベル物理学賞、巨視的量子効果の発見で3氏受賞 2025年ノーベル物理学賞は、ジョン・クラーク、ミシェル・H・デヴォレ、ジョン・M・マルティニスの3氏に「電気回路における巨視的な量子力学的トンネル効果とエネルギーの量子化の発見」で授与されました。 量子力学誕生から100年目の節目となる2025年、この研究は量子力学的現象がマクロな世界でも起こることを実証した画期的な成果です。従来、トンネル効果は原子レベルのミクロな世界でのみ観察されていましたが、3氏は1cm程度の超伝導回路を用いて、数十億個のクーパー対による巨視的トンネル効果を実験的に証明しました。 実験では、超伝導体間に絶縁体を挟んだジョセフソン接合を含む回路を絶対零度近くまで冷却し、徹底的にノイズを除去。その結果、理論予測と一致する巨視的トンネル効果を観測し、さらにエネルギーの量子化もマクロスケールで実証しました。 この研究は量子コンピューター実現への道筋を示した重要な成果でもあります。実際、受賞者の一人マルティニス氏は後にGoogleの量子コンピューター開発を主導し、2019年に量子超越性を達成しました。また、量子センサーや量子力学の基礎検証実験にも応用されています。 量子力学100周年にふさわしく、この研究は「量子現象は適切な環境下では大きさに関係なく発生する」ことを示し、量子技術の実用化に向けた重要な基盤を築いた歴史的な業績といえます。 本ラジオはあくまで個人の見解であり現実のいかなる団体を代表するものではありません ご理解頂ますようよろしくおねがいします

Nesrine Changuel helped build Spotify, Google Chrome, and Google Meet. Her work has helped her discover the importance of emotional connection in building successful products. At Google, she served as a dedicated “delight PM,” a role specifically focused on making products more delightful. She recently published Product Delight, a book that provides a practical framework for creating products that serve both functional and emotional needs. Based in Paris, she now coaches founders and CPOs on implementing delight strategies in their organizations.What you'll learn:1. Why delight is a business strategy, not just “sprinkling confetti” on top of functionality2. How to identify emotional motivators that drive product retention3. The 50-40-10 rule for balancing delight in your roadmap4. The 4-step delight model5. The origin story of Spotify's Discover Weekly6. Why B2B products need delight just as much as B2C products7. How to get buy-in from skeptical leaders who think delight is a luxury—Brought to you by:DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lennyLucidLink—Real-time cloud storage for teams: https://www.lucidlink.com/lenny—Transcript: https://www.lennysnewsletter.com/p/a-4-step-framework-for-building-delightful-products—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/174199489/my-biggest-takeaways-from-this-conversation—Where to find Nesrine Changuel:• LinkedIn: https://www.linkedin.com/in/nesrinechanguel/• Newsletter: https://nesrinechanguel.substack.com/• Website: https://nesrine-changuel.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nesrine and product delight(04:56) Why delight matters(09:17) What makes a feature “delightful”(12:29) The three pillars of delight(13:03) Pillar 1: Removing friction (Uber refund example)(15:07) Pillar 2: Anticipating needs (Revolut eSIM example)(17:21) Pillar 3: Exceeding expectations (Edge coupon example)(18:35) The “confetti effect” and when it actually works(22:02) B2B vs. B2C: Why all products need emotional connection(29:52) The Delight Model: A 4-step framework(30:57) Step 1: Identifying user motivators (functional and emotional)(33:55) Step 2: Converting motivators into product opportunities(34:46) Step 3: Identifying solutions with the delight grid(36:46) Step 4: Validating ideas with the delight checklist(40:22) The Delight Model summarized(42:18) The importance of familiarity (Spotify Discover Weekly story)(45:21) Real examples: Chrome's tab management solution(51:32) Google Meet's solution for “Zoom fatigue”(55:02) Getting buy-in from skeptical leaders(59:39) Prioritizing delight: The 50-40-10 rule(1:02:41) Creating a culture of delight in your organization(1:06:45) The habituation effect(1:08:15) When delight goes wrong: Apple reactions example(1:10:21) How delight motivates product teams(1:12:24) Lightning round and final thoughts—Referenced:• Spotify: https://open.spotify.com/• Linear: https://linear.app/• How Linear builds product: https://www.lennysnewsletter.com/p/how-linear-builds-product• Jira: https://www.atlassian.com/software/jira• Asana: https://asana.com/• Monday: https://monday.com/• The Product Delight Model: https://nesrinechanguel.substack.com/p/the-product-delight-model• Revolut: https://www.revolut.com/• How Revolut trains world-class product managers: The “local CEO” model, raw intellect over experience, and a cultural obsession with building wow products | Dmitry Zlokazov (Head of Product): https://www.lennysnewsletter.com/p/how-revolut-trains-world-class-product-managers• Microsoft Cashback: https://www.microsoft.com/en-us/edge/features/shopping-cashback• Superhuman's secret to success: Ignoring most customer feedback, manually onboarding every new user, obsessing over every detail, and positioning around a single attribute: speed | Rahul Vohra (CEO): https://www.lennysnewsletter.com/p/superhumans-secret-to-success-rahul-vohra• Brian Chesky's secret mentor who died 9 times, started the Burning Man board, and built the world's first midlife wisdom school | Chip Conley (founder of MEA): https://www.lennysnewsletter.com/p/chip-conley• Workday: https://www.workday.com/• SAP: https://www.sap.com/• ServiceNow: https://www.servicenow.com/• Salesforce: https://www.salesforce.com/• GitHub: https://github.com/• Atlassian: https://www.atlassian.com/• Snowflake: https://www.snowflake.com/• Data Superheroes: https://www.snowflake.com/en/data-superheroes/• Google Meet: https://meet.google.com/• Andy Nesling on LinkedIn: https://www.linkedin.com/in/andynesling/• Matic: https://maticrobots.com/• Diego Sanchez's (Senior Product Manager at Buffer) post on LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7365014292091346945/• Miro: https://miro.com/• Arc browser: https://arc.net/• Competing with giants: An inside look at how The Browser Company builds product | Josh Miller (CEO): https://www.lennysnewsletter.com/p/competing-with-giants-an-inside-look• Migros Supermarket: https://www.migros.ch/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Suno: https://suno.com• Snapchat: https://www.snapchat.com/• Use Reactions, Presenter Overlay, and other effects when videoconferencing on Mac: https://support.apple.com/en-us/105117• Dr. Lipp: https://drlipp.com/• How to be the best coach to product people | Petra Wille (Strong Product People): https://www.lennysnewsletter.com/p/how-to-be-the-best-coach-to-product• The Great American Baking Show: https://www.imdb.com/title/tt21822674/• Le Meilleur Pâtissier: https://en.wikipedia.org/wiki/Le_Meilleur_P%C3%A2tissier• The Upside on Amazon Prime: https://www.amazon.com/gp/video/detail/amzn1.dv.gti.3cb8500f-31af-9f4f-5dec-701e086d58e8• The Intouchables: https://www.imdb.com/title/tt1675434/• Yoyo stroller: https://www.stokke.com/USA/en-us/category/strollers/yoyo-strollers• UppaBaby strollers: https://uppababy.com/strollers/—Recommended books:• Product Delight: How to Make Your Product Stand Out with Emotional Connection: https://www.amazon.com/Product-Delight-Stand-Emotional-Connection-ebook/dp/B0FGZ93D9Y/• Factfulness: Ten Reasons We're Wrong About the World—and Why Things Are Better Than You Think: https://www.amazon.com/Factfulness-Reasons-World-Things-Better/dp/1250107814• STRONG Product Communities: The Essential Guide to Product Communities of Practice: https://www.amazon.com/STRONG-Product-Communities-Essential-Practice/dp/3982235189/r—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

BONUS: Nesrine Changuel shares how to create product delight through emotional connection! In this BONUS episode we explore the book by Nesrine Changuel: 'Product Delight - How to make your product stand out with emotional connection.' In this conversation, we explore Nesrine's journey from research to product management, share lessons from her experiences at Google, Spotify, and Microsoft, and unpack the key strategies for building emotionally resonant products that connect with users beyond mere functionality. The Genesis of Product Delight "I quickly realized that there is something that is quite intense while building Skype... it's not just that communication tool, but it was iconic, with its blue, with ringtones, with emojis. So it was clear that it's not just for making calls, but also to make you feel connected, relaxed, and part of it." Nesrine's journey into product delight began during her transition from research to product management at Skype. Working on products at major companies like Skype, Spotify, and Google Meet, she discovered that successful products don't just function well—they create emotional connections. Her role as "Delight PM" at Google Meet during the pandemic crystallized her understanding that products must address both functional and emotional user needs to truly stand out in the market. Understanding Customer Delight in Practice "The delight is about creating two dimensions and combining these two dimensions altogether, it's about creating products that function well, but also that help with the emotional connection." Customer delight manifests when products exceed expectations and anticipate user needs. Nesrine explains that delight combines surprise and joy—creating positive surprises that go beyond basic functionality. She illustrates this with Microsoft Edge's coupon feature, which proactively suggests discounts during online shopping without users requesting it. This anticipation of needs creates memorable peak moments that strengthen emotional connections with products. Segmenting Users by Motivators "We can discover that users are using your product for different reasons. I mean, we tend to think that users are using the product for the same reason." Traditional user segmentation focuses on demographics (who users are) or behavior (what they do). Nesrine advocates for motivational segmentation—understanding why users engage with products. Using Spotify as an example, she demonstrates how users might seek music for specific songs, inspiration, nostalgia, or emotional regulation. This approach reveals both functional motivators (practical needs) and emotional motivators (feelings users want to experience), enabling teams to build features aligned with user desires rather than assumptions. In this segment, we refer to Spotify Wrapped.  The Distinction from Jobs To Be Done "There's no contrast. I mean to be honest, it's quite aligned, and I'm a big fan of the job to be done framework." While aligned with Clayton Christensen's Jobs To Be Done framework, Nesrine's approach extends beyond identifying triggers to practical implementation. She acknowledges that Jobs To Be Done provides the foundational theory, distinguishing between personal emotional motivators (how users want to feel) and social emotional motivators (how they want others to perceive them). However, many teams struggle to translate these insights into actual product features—a gap her Product Delight framework addresses through actionable methodologies. Navigating the Line Between Delight and Addiction "Building for delight is about creating products that are aligned with users' values. It's about aligning with what people really want themselves to feel. They want to feel themselves, to feel a better version of themselves." The critical distinction between delight and addiction lies in value alignment. Delightful products help users become better versions of themselves and align with their personal values. Nesrine contrasts this with addictive design that creates dependencies contrary to user wellbeing. Using Spotify Wrapped as an example, she explains how reflecting positive achievements (skills learned, personal growth) creates healthy engagement, while raw usage data (hours spent) might trigger negative self-reflection and potential addictive patterns. Getting Started with Product Delight "If you only focus on the functional motivators, you will create products that function, but they will not create that emotional connection. If you take into consideration the emotional motivators in addition to the functional motivators, you create perfect products that connect with users emotionally." Teams beginning their delight journey should start by identifying both functional and emotional user motivators through direct user conversations. The first step involves listing what users want to accomplish (functional) alongside how they want to feel (emotional). This dual understanding enables feature development that serves practical needs while creating positive emotional experiences, leading to products that users remember and recommend. Product Delight and Human-Centered Design "Making products feel as if it was done by a human being... how can you make your product feel as close as possible to a human version of the product." Nesrine positions product delight within the broader human-centered design movement, but focuses specifically on humanization at the product feature level rather than just visual design. She shares examples from Google Meet, where the team compared remote meetings to in-person experiences, and Dyson, which benchmarks vacuum cleaners against human cleaning services. This approach identifies missing human elements and guides feature development toward more natural, intuitive interactions. In this segment we refer to the books Emotional Design by Don Norman, and Design for Emotion by Aarron Walter..  AI's Role in Future Product Delight "AI is a tool, and as every tool we're using, it can be used in a good way, or could be used in a bad way. And it is extremely possible to use AI in a very good way to make your product feel more human and more empathetic and more emotionally engaging." AI presents opportunities to enhance emotional connections through empathetic interactions and personalized experiences. Nesrine cites ChatGPT's conversational style—including apologies and collaborative language—as creating companionship feelings during work. The key lies in using AI to identify and honor emotional motivators rather than exploit them, focusing on making users feel supported and understood rather than manipulated or dependent. Developer Experience as Product Delight "If the user of your products are human beings... whether business consumer engineers, they deserve their emotions to be honored, so I usually don't distinguish between B2B or B2C... I say like B2H, which is business to human." Developer experience exemplifies product delight in B2B contexts. Companies like GitHub have created metrics specifically measuring developer delight, recognizing that technical users also have emotional needs. Tools like Jira, Miro, and GitHub succeed by making users feel more competent and productive. Nesrine advocates for "B2H" (business to human) thinking, emphasizing that any product used by humans should consider emotional impact alongside functional requirements. About Nesrine Changuel Nesrine is a product coach, trainer, and author with experience at Google, Spotify, and Microsoft. Holding a PhD from Bell Labs and UCLA, she blends research and practice to guide teams in building emotionally resonant products. Based in Paris, she teaches and speaks globally on human-centered design. You can connect with Nesrine Changuel on LinkedIn.

L'elaborazione del linguaggio naturale umano da parte delle macchine è stata per decenni un'enorme sfida per gli sviluppatori. Assistenti come Google Assistant, Alexa, Siri o Cortana hanno rappresentato i primi tentativi di sviluppare sistemi in grado di riconoscere la voce e interpretare i comandi, ma con risultati spesso deludenti. La situazione è cambiata drasticamente con l'avvento dei Large Language Model, che oggi riescono a comprendere facilmente le intenzioni dell'utente, interpretarle e rispondere di conseguenza. In questa puntata analizziamo come i modelli linguistici comprendono la nostra voce e quali sono le tecnologie che migliorano questa comprensione, esplorando alcuni esempi di prodotti tra cui il nuovo Insta360 WAVE.Nella sezione delle notizie parliamo del possibile addio ai cookie banner, dell'annuncio della NASA sulla data per la missione Artemis II e infine della battaglia legale di Apple contro il Digital Markets Act europeo.--Indice--00:00 - Introduzione01:05 - Verso la fine dei cookie banner? (AgendaDigitale.eu, Luca Martinelli)02:33 - La NASA annuncia la data per Artemis II (DDay.it, Matteo Gallo)03:28 - Apple contro il DMA europeo (HDBlog.it, Davide Fasoli)05:09 - Come i computer comprendono la nostra voce (Luca Martinelli)16:21 - La nostra esperienza con Insta360 WAVE (Davide Fasoli, Luca Martinelli)26:21 - Conclusione--Testo--Leggi la trascrizione: https://www.dentrolatecnologia.it/S7E39#testo--Contatti--• www.dentrolatecnologia.it• Instagram (@dentrolatecnologia)• Telegram (@dentrolatecnologia)• YouTube (@dentrolatecnologia)• redazione@dentrolatecnologia.it--Sponsor--• Puntata realizzata in collaborazione con Insta360--Brani--• Ecstasy by Rabbit Theft• Whatever by Cartoon & Andromedik

Ever feel like your workweeks slide into chaos, no matter how many productivity hacks you try? If you have ADHD—or just a brain that refuses to follow “traditional” time management—you're not alone. This week on ADHD-ish, Diann Wingert breaks down the problem of context switching for ADHD entrepreneurs and introduces the concept of “focus days” with three different models to choose from. Get ready to discover practical, customizable models to help you protect your time, boost your productivity, and work with your brain, lifestyle, and stage of business. About the HostDiann Wingert is a former psychotherapist and serial entrepreneur turned business coach, specializing in helping entrepreneurs with ADHD and other “not-so-neurotypical” brains thrive. Drawing from both her clinical expertise and personal experience, Diann delivers actionable advice, real-world strategies, and a refreshingly honest perspective on building a business, balancing priorities, and protecting your most precious resources: your time and your creative energy.Here's your quick guide to Focus Days, ADHD-style:The Single Focus Scheduling MethodThink of this as giving every day its own “job”—Mondays are CEO days (big picture, strategy only!), Tuesdays and Thursdays are for clients, Wednesdays for content creation, and Fridays for building connections. The magic? You get to deeply immerse in one type of work at a time—no more multitasking burnout.The Essential Three Model: Create, Connect, ConsumePerfect if you don't want to lock yourself into a five-day structure. Allocate days based on energy: Create (any kind of output work), Connect (people-focused work like client calls), and Consume (input tasks like learning or admin). You can spread these across your week however you like—and it totally honors both structure and spontaneity.The Split-Screen ApproachNot all of us can devote a full day to a single focus. With the Split Screen model, you match tasks with your daily energy: deep work when your brain's sharpest, creative or relational work when it feels right, and breaks when you need them. It's about flowing with your energy patterns, not fighting them.Which one to try?Are your days packed with interruptions? Go for the Essential Three.Thrive with structure? Try Single Focus Scheduling.Need max flexibility or have health/family stuff? Split Screen's your friend.Protect your boundaries (and sanity):Most “emergencies” can actually wait. Create clear expectations and communicate your availability so you're not always on call—this protects your energy, time, and creative spark.Embrace experimentation over perfection:Whether you need more structure or more flexibility, give yourself permission to tweak any system. Growth comes from iteration, not rigid adherence. Try one approach for a few weeks, then adjust as needed.Not-so-fun fact:Research shows it can take UP TO 25 MINUTES to fully recover your focus after switching tasks. And with ADHD? Yep, it can take even longer. It's like trying to cook five different cuisines at once—the results are always a little…messy. Mentioned in this episode:Changes Diann made based on her quarterly review during a CEO Day:Zoom Pro to Google Meet_savings: $160Loom to Konvey_savings: $71Calendly to TidyCal: $91Links to Diann's three-part momentum series:Starting Strong

On this episode, I speak to my friend Nesrine Changuel, product coach and author of the new book "Product Delight". Nesrine started her career at Bell Labs as a research engineer before moving into product management at Microsoft, Spotify, and Google, where she even held the title "PM for Delight" on Google Meet. Her work focuses on how products can go beyond functionality to create genuine emotional connections with users. Episode highlights: Why Product Delight is more than just a “nice to have”, and isn't just confetti on your boring app The three pillars of Product Delight: reducing friction, anticipating needs, and exceeding expectations The difference between surface delight (like balloons on your Apple Watch) and deep delight (features that serve emotional and functional needs together) Why delight matters just as much in B2B products as in consumer apps, and why everything is B2H How to get buy-in from leaders and stakeholders by linking emotional connection to revenue, retention, and referrals The Delight Grid and Nesrine's four-step model for embedding delight into your product process The risks of chasing the wrong kind of delight (like Deliveroo's failed Mother's Day campaign or Apple's awkward gesture fireworks) ... And much more. Buy the book You can grab a copy of Product Delight here: Nesrine's site: https://nesrine-changuel.com/product-delight-book/ Amazon UK: https://a.co/d/1J7JLZZ Contact Nesrine Website: https://www.nesrine-changuel.com LinkedIn: https://www.linkedin.com/in/nesrinechanguel Newsletter: https://nesrinechanguel.substack.com

Ever feel like your workweeks slide into chaos, no matter how many productivity hacks you try? If you have ADHD—or just a brain that refuses to follow “traditional” time management—you're not alone. This week on ADHD-ish, Diann Wingert breaks down the problem of context switching for ADHD entrepreneurs and introduces the concept of “focus days” with three different models to choose from. Get ready to discover practical, customizable models to help you protect your time, boost your productivity, and work with your brain, lifestyle, and stage of business. About the HostDiann Wingert is a former psychotherapist and serial entrepreneur turned business coach, specializing in helping entrepreneurs with ADHD and other “not-so-neurotypical” brains thrive. Drawing from both her clinical expertise and personal experience, Diann delivers actionable advice, real-world strategies, and a refreshingly honest perspective on building a business, balancing priorities, and protecting your most precious resources: your time and your creative energy.Here's your quick guide to Focus Days, ADHD-style:The Single Focus Scheduling MethodThink of this as giving every day its own “job”—Mondays are CEO days (big picture, strategy only!), Tuesdays and Thursdays are for clients, Wednesdays for content creation, and Fridays for building connections. The magic? You get to deeply immerse in one type of work at a time—no more multitasking burnout.The Essential Three Model: Create, Connect, ConsumePerfect if you don't want to lock yourself into a five-day structure. Allocate days based on energy: Create (any kind of output work), Connect (people-focused work like client calls), and Consume (input tasks like learning or admin). You can spread these across your week however you like—and it totally honors both structure and spontaneity.The Split-Screen ApproachNot all of us can devote a full day to a single focus. With the Split Screen model, you match tasks with your daily energy: deep work when your brain's sharpest, creative or relational work when it feels right, and breaks when you need them. It's about flowing with your energy patterns, not fighting them.Which one to try?Are your days packed with interruptions? Go for the Essential Three.Thrive with structure? Try Single Focus Scheduling.Need max flexibility or have health/family stuff? Split Screen's your friend.Protect your boundaries (and sanity):Most “emergencies” can actually wait. Create clear expectations and communicate your availability so you're not always on call—this protects your energy, time, and creative spark.Embrace experimentation over perfection:Whether you need more structure or more flexibility, give yourself permission to tweak any system. Growth comes from iteration, not rigid adherence. Try one approach for a few weeks, then adjust as needed.Not-so-fun fact:Research shows it can take UP TO 25 MINUTES to fully recover your focus after switching tasks. And with ADHD? Yep, it can take even longer. It's like trying to cook five different cuisines at once—the results are always a little…messy. Mentioned in this episode:Changes Diann made based on her quarterly review during a CEO Day:Zoom Pro to Google Meet_savings: $160Loom to Konvey_savings: $71Calendly to TidyCal: $91Links to Diann's three-part momentum series:Starting Strong

Welcome to the new season of Friendship Feed, and our sincere apologies for the audio coming from the Google Meet because of the technical error. We will do our best to fix the audio in the next episode for Episode 2!

Das ist das KI-Update vom 15.09.2025 mit diesen Themen: Klage gegen Google wegen KI-Zusammenfassungen Urheberrecht - Mikrozahlungen als Lösung? Sicherheitsexperte fordert die Abschaltung aller KI Und: Google Meet: Englisch-Deutsche Sprachübersetzung in Echtzeit Links zu allen Themen der heutigen Folge findet Ihr hier: https://heise.de/-10644033 https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki   Eine neue Folge gibt es montags, mittwochs und freitags ab 15 Uhr.

9/3/25 - Episode 167Episode SummaryThis episode explores Google's NotebookLM as a “source-grounded” AI assistant that turns your own docs, URLs, videos, and transcripts into actionable insights—useful for Shopify brands that need synthesis over generic brainstorming. Scott contrasts NotebookLM with general chatbots, then shows real-world uses (client “second-brain” notebooks, podcast topic gap analysis, and a property manual knowledge base). He closes with eight ecommerce applications (from competitive intel to FAQs and content repurposing) and a reminder to treat AI as a powerful tool in a human-driven workflow. Quick takeaways:- What it is: an AI note-taking/analysis tool that only cites your provided sources, reducing hallucinations. - Real examples: memory cache for client work, podcast gap analysis, and support answers for a short-term rental. - Shopify uses: competitive research, support knowledge base, SEO/content strategy, market research, product copy, FAQs, and content repurposing. - Mindset: don't treat AI like an employee—use it as a tool and keep human judgment in the loop.Show Links Notebook LM - https://notebooklm.google.com/Notebook LM Podcast of Notebook LM Research - https://jadepuma.com/blogs/the-shopify-solutions-podcast/episode-167-notebook-lm-an-ai-assistant-for-shopify-success#auto-podcastGemini - https://gemini.google.com/appGoogle Workspace - https://workspace.google.com/Google Meet - https://meet.google.com/Flex Theme Sections - https://apps.shopify.com/flex-theme-sectionsTranscript & Videohttps://jadepuma.com/blogs/the-shopify-solutions-podcast/episode-167-notebook-lm-an-ai-assistant-for-shopify-success 

Au sommaire cette semaine : suicide assisté par intelligence artificielle, Google lance la traduction vocale en temps réel, Musk attaque OpenAI et Apple, GPT-5 repousse les limites des mathématiques, Luc Julia se défend, Paperslate sort son premier bloc-note numérique.

Jenny Bristow of Hedy & Hopp offers practical tips for healthcare marketers to enhance their professional presence and credibility by enhancing their setup and background for video conference calls on Zoom, Google Meet, and other platforms. Learn ways to optimize your video background, lighting, and camera setup to best represent the brand and the personality that you want people to remember. There are many simple, cost-effective ways to improve your video call background, no matter how small or large your space. Try creating visual depth with plants or frames of varied heights, or even try adding peel-and-stick wallpaper. Play with your lighting—experiment with natural light, lamps, and even a second monitor displaying a white screen to achieve the best lighting setup. Always ensure your camera is at eye level and that you're looking directly into it for a more engaging interaction, and make sure your camera lens is clean. To avoid a monochrome look, try incorporating art, photos, or even sophisticated posters to add visual interest and personality. For back-to-back professional meetings, it's helpful to keep a jacket or blazer within reach for quick changes or to add layers to your look.Connect with Jenny:Email: jenny@hedyandhopp.comLinkedIn: https://www.linkedin.com/in/jennybristow/Further your understanding of what compliance means for healthcare marketing and get certified for it here: https://wearehipaasmart.com/ If you enjoyed this episode, we'd love to hear your feedback! Please consider leaving us a review on your preferred listening platform and sharing it with others.

durée : 00:03:16 - Net Plus Ultra - par : Julien Baldacchino - La fonctionnalité de traduction instantanée de Google Meet est désormais disponible en France. Cette intelligence artificielle retranscrit les échanges en direct dans plusieurs langues, dont le français. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

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Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

On this week's show Patrick Gray and Adam Boileau discuss the week's cybersecurity news, including: Australia expels Iranian ambassador Hackers sabotage Iranian shipping satcoms APT hacker got doxxed in Phrack. Kind of. They're probably Chinese, not DPRK? Trail of Bits uses image-downscaling to sneak prompts into Google Gemini The Com's King Bob gets ten years in the slammer It's a day that ends in -y, so of course there's a new Citrix Netscaler RCE being used in the wild. This week's episode is brought to you by Corelight. Chief Strategy Officer Greg Bell talks through how they've been implementing AI for sifting through your network data. A model-context-protocol server that can rummage in all those packet logs for you while you keep investigating? Yes please. This episode is also available on Youtube. Show notes Embassy staff flee Canberra in dead of night | news.com.au — Australia's leading news site for latest headlines Swedish security service says Iran uses criminal networks in Sweden | Reuters Risky Bulletin: Hackers sabotage Iranian ships at sea, again - Risky Business Media Microsoft scales back Chinese access to cyber early warning system | Reuters Microsoft Didn't Disclose Key Details to U.S. Officials of China-Based Engineers, Record Shows — ProPublica .:: Phrack Magazine ::. Uncovering the Chinese Proxy Service Used in APT Campaigns Weaponizing image scaling against production AI systems -The Trail of Bits Blog FBI, Cisco warn of Russia-linked hackers targeting critical infrastructure organizations | Cybersecurity Dive CrowdStrike warns of uptick in Silk Typhoon attacks this summer | CyberScoop Kevin Beaumont: "There's a bunch of new Netscal…" - Cyberplace US charges Oregon man in vast botnet-for-hire operation | Cybersecurity Dive South Korea arrests suspected Chinese hacker accused of targeting BTS singer and other celebrities | The Record from Recorded Future News SIM-Swapper, Scattered Spider Hacker Gets 10 Years – Krebs on Security Chinese national who sabotaged Ohio company's systems handed four-year jail stint | The Record from Recorded Future News Nevada state offices close after wide-ranging 'network security incident' | Reuters DSLRoot, Proxies, and the Threat of ‘Legal Botnets' – Krebs on Security Russia weighs Google Meet ban as part of foreign tech crackdown | The Record from Recorded Future News Kremlin-Mandated Messaging App Max Is Designed To Spy On Users Иеромонах РПЦ Макарий призвал помолиться за мессенджер MAX

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss why enterprise generative AI projects often fail to reach production. You’ll learn why a high percentage of enterprise generative AI projects reportedly fail to make it out of pilot, uncovering the real reasons beyond just the technology. You’ll discover how crucial human factors like change management, user experience, and executive sponsorship are for successful AI implementation. You’ll explore the untapped potential of generative AI in back-office operations and process optimization, revealing how to bridge the critical implementation gap. You’ll also gain insights into the changing landscape for consultants and agencies, understanding how a strong AI strategy will secure your competitive advantage. Watch now to transform your approach to AI adoption and drive real business results! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-why-enterprise-generative-ai-projects-fail.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, the big headline everyone’s been talking about in the last week or two about generative AI is a study from MIT’s Nanda project that cited the big headline: 95% of enterprise generative AI projects never make it out of pilot. A lot of the commentary clearly shows that no one has actually read the study because the study is very good. It’s a very good study that walks through what the researchers are looking at and acknowledged the substantial limitations of the study, one of which was that it had a six-month observation period. Katie, you and I have both worked in enterprise organizations and we have had and do have enterprise clients. Some people can’t even buy a coffee machine in six months, much less route a generative AI project. Christopher S. Penn – 00:49 But what I wanted to talk about today was some of the study’s findings because they directly relate to AI strategy. So if you are not an AI ready strategist, we do have a course for that. Katie Robbert – 01:05 We do. As someone, I’ve been deep in the weeds of building this AI ready strategist course, which will be available on September 2. It’s actually up for pre-sale right now. You go to trust insights AI/AI strategy course. I just finished uploading everything this morning so hopefully I used all the correct edits and not the ones with the outtakes of me threatening to murder people if I couldn’t get the video done. Christopher S. Penn – 01:38 The bonus, actually, the director’s edition. Katie Robbert – 01:45 Oh yeah, not to get too off track, but there was a couple of times I was going through, I’m like, oops, don’t want to use that video. But back to the point, so obviously I saw the headline last week as well. I think the version that I saw was positioned as “95% of AI pilot projects fail.” Period. And so of course, as someone who’s working on trying to help people overcome that, I was curious. When I opened the article and started reading, I’m like, “Oh, well, this is misleading,” because, to be more specific, it’s not that people can’t figure out how to integrate AI into their organization, which is the problem that I help solve. Katie Robbert – 02:34 It’s that people building their own in-house tools are having a hard time getting them into production versus choosing a tool off the shelf and building process around it. That’s a very different headline. And to your point, Chris, the software development life cycle really varies and depends on the product that you’re building. So in an enterprise-sized company, the likelihood of them doing something start to finish in six months when it involves software is probably zero. Christopher S. Penn – 03:09 Exactly. When you dig into the study, particularly why pilots fail, I thought this was a super useful chart because it turns out—huge surprise—the technology is mostly not the problem. One of the concerns—model quality—is a concern. The rest of these have nothing to do with technology. The rest of these are challenging: Change management, lack of executive sponsorship, poor user experience, or unwillingness to adopt new tools. When we think about this chart, what first comes to mind is the 5 Ps, and 4 out of 5 are people. Katie Robbert – 03:48 It’s true. One of the things that we built into the new AI strategy course is a 5P readiness assessment. Because your pilot, your proof of concept, your integration—whatever it is you’re doing—is going to fail if your people are not ready for it. So you first need to assess whether or not people want to do this because that’s going to be the thing that keeps this from moving forward. One of the responses there was user experience. That’s still people. If people don’t feel they can use the thing, they’re not going to use it. If it’s not immediately intuitive, they’re not going to use it. We make those snap judgments within milliseconds. Katie Robbert – 04:39 We look at something and it’s either, “Okay, this is interesting,” or “Nope,” and then close it out. It is a technology problem, but that’s a symptom. The root is people. Christopher S. Penn – 04:52 Exactly. In the rest of the paper, in section 6, when it talks about where the wins were for companies that were successful, I thought this was interesting. Lead qualification, speed, customer retention. Sure, those are front office things, but the paper highlights that the back office is really where enterprises will win using generative AI. But no one’s investing it. People are putting all the investment up front in sales and marketing rather than in the back office. So the back office wins. Business process optimization. Elimination: $2 million to $10 million annually in customer service and document processing—especially document processing is an easy win. Agency spend reduction: 30% decrease in external, creative, and content costs. And then risk checks for financial services by doing internal risk management. Christopher S. Penn – 05:39 I thought this was super interesting, particularly for our many friends and colleagues who work at agencies, seeing that 30% decrease in agency spend is a big deal. Katie Robbert – 05:51 It’s a huge deal. And this is, if we dig into this specific line item, this is where you’re going to get a lot of those people challenges because we’re saying 30% decrease in external creative and content costs. We’re talking about our designers and our writers, and those are the two roles that have felt the most pressure of generative AI in terms of, “Will it take my job?” Because generative AI can create images and it can write content. Can it do it well? That’s pretty subjective. But can it do it? The answer is yes. Christopher S. Penn – 06:31 What I thought was interesting says these gains came without material workforce reduction. Tools accelerated work, but did not change team structures or budgets. Instead, ROI emerged from reduced external spend, limiting contracts, cutting agency fees, replacing expensive consultants with AI-powered internal capabilities. So that makes logical sense if you are spending X dollars on something, an agency that writes blog content for you. When we were back at our old PR agency, we had one firm that was spending $50,000 a month on having freelancers write content that when you and I reviewed, it was not that great. Machines would have done a better job properly prompted. Katie Robbert – 07:14 What I find interesting is it’s saying that these gains came without material workforce reduction, but that’s not totally true because you did have to cut your agency fees, which is people actually doing the work, and replacing expensive consultants with AI-powered internal capabilities. So no, you didn’t cut workforce reduction at your own company, but you cut it at someone else’s. Christopher S. Penn – 07:46 Exactly. So the red flag there for anyone who works in an agency environment or a consulting environment is how much risk are you at from AI taking your existing clients away from you? So you might not lose a client to another agency—you might lose a client to an internal AI project where if there isn’t a value add of human beings. If your agency is just cranking out templated press releases, yeah, you’re at risk. So I think one of the first things that I took away from this report is that every agency should be doing a very hard look at what value it provides and saying, “How easy is it for AI to replicate this?” Christopher S. Penn – 08:35 And if you’re an agency and you’re like, “Oh, well, we can just have AI write our blog posts and hand it off to the client.” There’s nothing stopping the client from doing that either and just getting rid of you entirely. Katie Robbert – 08:46 The other thing that sticks out to me is replacing expensive consultants with AI-powered internal capabilities. Technically, Chris, you and I are consultants, but we’re also the first ones to knock the consulting industry as a whole, because there’s a lot of smoke and mirrors in the consulting industry. There’s a lot of people who talk a big talk, have big ideas, but don’t actually do anything useful and productive. So I see this and I don’t immediately think, “Oh, we’re in trouble.” I think, “Oh, good, it’s going to clear out the rest of the noise in the industry and make way for the people who can actually do something.” Christopher S. Penn – 09:28 And that is the heart and soul, I think, for us. Obviously, we have our own vested interest in ensuring that we continue to add value to our clients. But I think you’re absolutely right that if you are good at the “why”—which is what a lot of consulting focuses on—that’s important. If you’re good at the “what”—which is more of the tactical stuff, “what are you going to do?”—that’s important. But what we see throughout this paper is the “how” is where people are getting tangled up: “How do we implement generative AI?” If you are just a navel-gazing ChatGPT expert, that “how” is going to bite you really hard really soon. Christopher S. Penn – 10:13 Because if you go and read through the rest of the paper, one of the things it talks about is the gap—the implementation gap between “here’s ChatGPT” and then for the enterprise it was like, “Well, here’s all of our data and all of our systems and all of our everything else that we want AI to talk to in a safe and secure way.” And this gap is gigantic between these two worlds. So tools like ChatGPT are being relegated to, “Let’s write more blog posts and write some press releases and stuff” instead of “help me actually get some work done with the things that I have to do in a prescribed way,” because that’s the enterprise. That gap is where consulting should be making a difference. Christopher S. Penn – 10:57 But to your point, with a lot of navel-gazing theorists, no one’s bridging that gap. Katie Robbert – 11:05 What I find interesting about the shift that we’ve seen with generative AI is we’ve almost in some ways regressed in the way that work is getting done. We’re looking at things as independent, isolated tasks versus fully baked, well-documented workflows. And we need to get back to those holistic 360-degree workflows to figure out where we can then insert something generative AI versus picking apart individual tasks and then just having AI do that. Now I do think that starting with a proof of concept on an individual task is a good idea because you need to demonstrate some kind of success. You need to show that it can do the thing, but then you need to go beyond that. It can’t just forever, to your point, be relegated to writing blog posts. Katie Robbert – 12:05 What does that look like as you start to expand it from project to program within your entire organization? Which, I don’t know if you know this, there’s a whole lesson about that in the AI strategy course. Just figured I would plug that. But all kidding aside, that’s one of the biggest challenges that I’m seeing with organizations that “disrupt” with AI is they’re still looking at individual tasks versus workflows as a whole. Christopher S. Penn – 12:45 Yep. One of the things that the paper highlighted was that the reason why a lot of these pilots fail is because either the vendor or the software doesn’t understand the actual workflow. It can do the miniature task, but it doesn’t understand the overall workflow. And we’ve actually had input calls with clients and potential clients where they’ve walked us through their workflow. And you realize AI can’t do all of it. There’s just some parts that just can’t be done by AI because in many cases it’s sneaker-net. It’s literally a human being who has to move stuff from one system to another. And there’s not an easy way to do that with generative AI. The other thing that really stood out for me in terms of bridging this divide is from a technological perspective. Christopher S. Penn – 13:35 The biggest hurdle from the technology side was cited as no memory. A tool like ChatGPT and stuff has no institutional memory. It can’t easily connect to your internal knowledge bases. And at an enterprise, that’s a really big deal. Obviously, at Trust Insights’ size—with five or four employees and a bunch of AI—we don’t have to synchronize and coordinate massive stores of institutional knowledge across the team. We all pretty much know what’s going on. When you are an IBM with 300,000 employees, that becomes a really big issue. And today’s tools, absent those connectors, don’t have that institutional memory. So they can’t unlock that value. And the good news is the technology to bridge that gap exists today. It exists today. Christopher S. Penn – 14:27 You have tools that have memory across an entire codebase, across a SharePoint instance. Et cetera. But where this breaks down is no one knows where that information is or how to connect it to these tools, and so that huge divide remains. And if you are a company that wants to unlock the value of gen AI, you have to figure out that memory problem from a platform perspective quickly. And the good news is there’s existing tools that do that. There’s vector databases and there’s a whole long list of acronyms and tongue twisters that will solve that problem for you. But the other four pieces need to be in place to do that because it requires a huge lift to get people to be willing to share their data, to do it in a secure way, and to have a measurable outcome. Katie Robbert – 15:23 It’s never a one-and-done. So who owns it? Who’s going to maintain it? What is the process to get the information in? What is the process to get the information out? But even backing up further, the purpose is why are we doing this in the first place? Are we an enterprise-sized company with so many employees that nobody knows the same information? Or am I a small solopreneur who just wants to have some protection in case something happens and I lose my memory or I want to onboard someone new and I want to do a knowledge-share? And so those are very different reasons to do it, which means that your approach is going to be slightly different as well. Katie Robbert – 16:08 But it also sounds like what you’re saying, Chris, is yes, the technology exists, but not in an easily accessible way that you could just pick up a memory stick off the shelf, plug it in, and say, “Boom, now we have memory. Go ahead and tell it everything.” Christopher S. Penn – 16:25 The paper highlights in section 6.5 where things need to go right, which is Agentic AI. In this case, Agentic AI is just fancy for, “Hey, we need to connect it to the rest of our systems.” It’s an expensive consulting word and it sounds cool. Agentic AI and agentic workflows and stuff, it really just means, “Hey, you’ve got this AI engine, but it’s not—you’re missing the rest of the car, and you need the rest of the car.” Again, the good news is the technology exists today for these tools to have access to that. But you’re blocking obstacles, not the technology. Christopher S. Penn – 17:05 Your governance is knowing where your data lives and having people who have the skills and knowledge to bring knowledge management practices into a gen AI world because it is different. It is not the same as previous knowledge management initiatives. We remember all the “in” with knowledge management was all the rage in the 90s and early 2000s with knowledge management systems and wikis and internal things and SharePoint and all that stuff, and no one ever kept it up to date. Today, Agentic can solve some of those problems, but you need to have all the other human being stuff in place. The machines can’t do it by themselves. Katie Robbert – 17:51 So yes, on paper it can solve all those problems. But no, it’s not going to. Because if we couldn’t get people to do it in a more analog way where it was really simple and literally just upload the latest document to the server or add 2 lines of detail to your code in terms of what this thing is about, adding more technology isn’t suddenly going to change that. It’s just adding another layer of something people aren’t going to do. I’m very skeptical always, and I just feel this is what’s going to mislead people. They’re like, “Oh, now I don’t have to really think about anything because the machine is just going to know what I know.” But it’s that initial setup and maintenance that people are going to skip. Katie Robbert – 18:47 So the machine’s going to know what it came out of the box with. It’s never going to know what you know because you’ve never interacted with it, you’ve never configured with it, you’ve never updated it, you’ve never given it to other people to use. It’s actually just going to become a piece of shelfware. Christopher S. Penn – 19:02 I will disagree with you there. For existing enterprise systems, specifically Copilot and Gemini. And here’s why. Those tools, assuming they’re set up properly, will have automatic access to the back-end. So they’ll have access to your document store, they’ll have access to your mail server, they’ll have access to those things so that even if people don’t—because you’re right, people ain’t going to do it. People ain’t going to document their code, they’re not going to write up detailed notes. But if the systems are properly configured—and that is a big if—it will have access to all of your Microsoft Teams transcripts, it will have access to all of your Google Meet transcripts and all that stuff. And on the back-end, without participation from the humans, it will at least have a greater scope of knowledge across your company properly configured. Christopher S. Penn – 19:50 That’s the big asterisk that will give those tools that institutional memory. Greater institutional memory than you have now, which at the average large enterprise is really siloed. Marketing has no idea what sales is doing. Sales has no idea what customer service is doing. But if you have a decent gen AI tool and a properly configured back-end infrastructure where the machines are already logging all your documents and all your spreadsheets and all this stuff, without you, the human, needing to do any work, it will generate better results because it will have access to the institutional data source. Katie Robbert – 20:30 Someone still has to set it up and maintain it. Christopher S. Penn – 20:32 Correct. Which is the whole properly configured part. Katie Robbert – 20:36 It’s funny, as you’re going through listing all of the things that it can access, my first thought is most of those transcripts aren’t going to be useful because people are going to hop on a call and instead of getting things done, they’re just going to complain about whatever their boss is asking them to do. And so the institutional knowledge is really, it’s only as good as the data you give it. And I would bet you, what is it that you like to say? A small pastry with the value of less than $5 or whatever it is. Basically, I’ll bet you a cookie that the majority of data that gets into those systems with spreadsheets and transcripts and documents and we’re saying all these things is still junk, is still unuseful. Katie Robbert – 21:23 And so you’re going to have a lot of data in there that’s still garbage because if you’re just automatically uploading everything that’s available and not being picky and not cleaning it and not setting standards, you’re still going to have junk. Christopher S. Penn – 21:37 Yes, you’ll still have junk. Or the opposite is you’ll have issues. For example, maybe you are at a tech company and somebody asks the internal Copilot, “Hey, who’s going to the Coldplay concert this weekend?” So yes, data security and stuff is going to be an equally important part of that to know that these systems have access that is provisioned well and that has granular access control. So that, say, someone can’t ask the internal Copilot, “Hey, what does the CEO get paid anyway?” Katie Robbert – 22:13 So that is definitely the other side of this. And so that gets into the other topic, which is data privacy. I remember being at the agency and our team used Slack, and we could see as admins the stats and the amount of DMs that were happening versus people talking in public channels. The ratios were all wrong because you knew everybody was back-channeling everything. And we never took the time to extract that data. But what was well-known but not really thought of is that we could have read those messages at any given time. And I think that’s something that a lot of companies take for granted is that, “Oh, well, I’m DMing someone or I’m IMing someone or I’m chatting someone, so that must be private.” Christopher S. Penn – 23:14 It’s not. All of that data is going to get used and pulled. I think we talked about this on last week’s podcast. We need to do an updated conversation and episode about data privacy. Because I think we were talking last week about bias and where these models are getting their data and what you need to be aware of in terms of the consumer giving away your data for free. Christopher S. Penn – 23:42 Yep. But equally important is having the internal data governance because “garbage in, garbage out”—that rule never changes. That is eternal. But equally true is, do the tools and the people using them have access to the appropriate data? So you need the right data to do your job. You also want to guard against having just a free-for-all, where someone can ask your internal Copilot, “Hey, what is the CEO and the HR manager doing at that Coldplay concert anyway?” Because that will be in your enterprise email, your enterprise IMs, and stuff like that. And if people are not thoughtful about what they put into work systems, you will see a lot of things. Christopher S. Penn – 24:21 I used to work at a credit union data center, and as an admin of the mail system, I had administrative rights to see the entire system. And because one of the things we had to do was scan every message for protected financial information. And boy, did I see a bunch of things that I didn’t want to see because people were using work systems for things that were not work-related. That’s not AI; it doesn’t fix that. Katie Robbert – 24:46 No. I used to work at a data-entry center for those financial systems. We were basically the company that sat on top of all those financial systems. We did the background checks, and our admin of the mail server very much abused his admin powers and would walk down the hall and say to one of the women, referencing an email that she had sent thinking it was private. So again, we’re kind of coming back to the point: these are all human issues machines are not going to fix. Katie Robbert – 25:22 Shady admins who are reading your emails or team members who are half-assing the documentation that goes into the system, or IT staff that are overloaded and don’t have time to configure this shiny new tool that you bought that’s going to suddenly solve your knowledge expertise issues. Christopher S. Penn – 25:44 Exactly. So to wrap up, the MIT study was decent. It was a decent study, and pretty much everybody misinterpreted all the results. It is worth reading, and if you’d like to read it yourself, you can. We actually posted a copy of the actual study in our Analytics for Marketers Slack group, where you and over 4,000 of the marketers are asking and answering each other’s questions every single day. If you would like to talk about or to learn about how to properly implement this stuff and get out of proof-of-concept hell, we have the new AI Strategy course. Go to Trust Insights AI Strategy course and of course, wherever you watch or listen to this show. Christopher S. Penn – 26:26 If there’s a challenge you’d rather have, go to trustinsights.ai/TIpodcast, where you can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert – 26:41 Know More About Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 27:33 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the So What? Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 28:39 Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Hacer click aquí para enviar sus comentarios a este cuento.Juan David Betancur Fernandezelnarradororal@gmail.comHabía una vez una pareja que por una convicción profunda con la naturaleza había decidido vivir en un bosque en una casa solar inteligente. Ambos tenían profesiones que les permitía trabajar remoto y que habían diseñado su casa con autonomía energética su única conexión con el mundo era su antena satelital para el servicio de internet. Ambos trabajaban como influencers y tenía cada uno su propio canal de youtube y sus propias cuentas de Instagram, X, Facebook, whatsapp, tiktok, telegram, pinteres y linkedln. En fin su vida desde aquel bosque era idealmente virtual. Después de varios años tuvieron una hija a la que llamaron Aurora, en honor a aquel amanecer que siempre veían desde su balcon con vista al valle. Aurora les recordaba los hermosos colores de aquellos primeros momentos del día. La niña de carita preciosa y pelo como el sol mismo mostro desde los primeros días una alegría que contagiaba a todos los que la conocían. Sus padres decidieron hacer un baby shower virtual por Google meet y para ello mandaron cientos de e vites para que todos aquellos que conocían pudieran asistir y conocer a la bella aurora. Pero como siempre pasa por error o por olvido programado, dejaron por fuera de sus lista de invitados a una tia lejana que era medio bruja y que su vida era medio oscura, como quien dice tenía una mala vibración. El día del babi shower virtual por Google Meet todos los invitados se hicieron presentes y todos se manifestaron con algún detalle para la niña que la mayoría de las veces era un translado de dinero por Zelle. Pero en medio de la reunión y sin saberse como apareció la imagen de la tia lejana que debió hackear el sistema para auto invitarse. Esta familiar lejana medio bruja entro a la reunión y como quien no quiere la cosa dijo. Que niña linda es aurora lastima que cuando cumpla 15 anos se pinchara y caera en un mundo profundo sin wifi.Sin Wifi gritaron todos al unisono. Como puede ser posible. Pero en ese momento la tia bruja se desconecto y no fue posible reestablecer la señal con ella. Los padres un poco perturbados consultaron con una  guru de bienestar y esta les dijo que no se preocuparan que no había forma en este mundo de que alguien no tuviera acceso a la red virtual o al wifi. Así que los padres se relajaron y siguieron produciendo contenido virtual para sus canales de social media. Los padres de todas maneras decidieron bloquear  a la tía enviándola a la blacklist del servidor y por simple precaución eliminaron todas las agujas del hogar (incluyendo las de los cursos de  bordado digital), y criaron a Aurora en una burbuja de mindfulness y playlists curadas donde su vida era documentada con filtros calidos y hashtags cuidadosamente seleccionados tales como #auroracrece, #niñadelsol, etc.Pero el tiempo paso y después de 15 anos llegaba el dia de su cumpleaños, Aurora emocionada por llegar a se quinceañera comenzó a revisar su Instagram, su Facebook y comenzo a prepararse para  leer todos los comentarios de sus amigos, seguidores y admiradores. Así que cuando comenzo a revisar sus mensajes y a contar sus likes vio que un popup apareció de improviso en su teléfono celular. Este popup decía "¿Quieres saber quién eres realmente?" dale click a este boto (el boton tenía la forma de una nota clavada con un alfiler) La joven Aurora dio clic y algo en su interior sucedió. Su mente cayo en un eterno Scroll, si bien estaba viva sus pensamientos y recuerdos eran vividos mensajes que ella trataba de leer y entender. Sus ojos se movían de arriba abajo como si estuviera leyendo la pantalla de su teléfono mientras con sus dedos abria y cerraba apli

Alarm bells are ringing over a supposed browser zero-day, but is the threat as bad as it sounds? Steve reveals why "clickjacking" might be more whac-a-mole than breaking news, and what that really means for your passwords. • Germany may soon outlaw ad blockers • What's happening in the courts over AI • The U.K. drops its demands of Apple • New Microsoft 365 tenants being throttled • Is Russia preparing to block Google Meet? • Bluesky suspends its service in Mississippi • How to throttle AI • A tricky SSH-busting Go library • Here comes the Linux desktop malware • Apple just patched a doozy of a vulnerability • A trivial Docker escape was found and fixed • Why the recent browser 0-day clickjacking is really just whac-a-mole Show Notes - https://www.grc.com/sn/sn-1040-notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/securitynow zscaler.com/security bigid.com/securitynow uscloud.com

Wispr Flow has transformed voice dictation from a frustrating novelty into a seamless productivity tool that users trust implicitly. With a recent $30 million Series A led by Menlo Ventures, the company has achieved remarkable product-market fit through 90% word-of-mouth growth and users who share the product organically without prompting. In this episode, I sat down with Tanay Kothari, CEO and Co-Founder of Wispr Flow, to learn about the company's pivot from hardware to software, their approach to manufacturing viral moments, and their strategy for competing against tech giants with distribution advantages. Topics Discussed: Wispr Flow's pivot from building voice assistant hardware to focusing on voice-to-text software The company's unique approach to achieving sub-half-second latency and exceptional accuracy Building viral growth through manufactured "aha moments" and exceptional user onboarding Competing against OpenAI and Apple through speed of execution and user experience focus The challenge of building for mainstream users beyond Silicon Valley's tech-savvy population Strategic decisions around cutting non-essential growth channels to maintain focus GTM Lessons For B2B Founders: Manufacture viral moments through obsessive user research: Tanay personally onboarded the first 500 users via Google Meet, watching their facial expressions, mouse movements, and emotional reactions in real-time. This intensive observation allowed him to identify and systematically reproduce moments of user delight. He explained, "Find the things that repeatedly create delight, make sure that never dies, and then find the other places where there's confusion and kind of take them out." B2B founders should invest heavily in understanding the micro-moments of user experience, as these compound into organic growth at scale. Leverage authentic product usage by your target buyers during fundraising: When Wispr Flow raised their Series A, every VC in Silicon Valley was already using the product daily. Tanay noted, "I didn't need to convince them about why the product was good. All I had to tell them about if you believe why Whisper is good today, here is where we can take the company." This eliminated the typical product demonstration phase and shifted conversations to vision and execution capability. B2B founders should prioritize getting their product into the hands of potential investors as users before ever pitching them as investors. Build anti-fragile technology that improves as the industry evolves: Rather than competing directly with AI model capabilities, Wispr Flow built infrastructure that gets better as underlying AI models improve. Tanay instructs his team: "If at some point that you feel afraid of a new model launching, you're doing something wrong." This philosophy led them to focus on latency, user experience, and integration rather than competing on raw AI performance. B2B founders in AI-adjacent spaces should identify where they can create value that compounds with industry improvements rather than being displaced by them. Cut aggressively to maintain focus during rapid growth: Despite conventional wisdom, Wispr Flow eliminated SEO efforts entirely because "no one is searching for voice dictation" and most people don't know the technology has reached usability thresholds. Tanay applies an extreme 80/20 rule: "You can cut the 80% of the things that are not giving you the results... You find a new 20% that's going to give you 80% more results and you can just keep doing that again and again." B2B founders should regularly audit their activities and ruthlessly eliminate even "best practices" that don't align with their specific growth dynamics. Design for mainstream adoption beyond early adopters: While most AI tools target Silicon Valley technologists, Tanay identified that 95% of the population represents the real market opportunity. He noted these users "end up being your most loyal users" because they have less churn and higher lifetime value than tech-savvy early adopters. B2B founders should resist the temptation to only build for sophisticated users and instead consider how their product works for less technically proficient buyers who may represent larger market segments.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM 

Eric and Marty talk about how to make virtual meetings effective with students and colleaguesThe New Normal – Virtual Office HoursHow virtual office hours are becoming more common post-pandemic.Benefits: Accessibility for online/hybrid students, schedule flexibility for faculty.Tech tools that support flexible scheduling (Calendly, Bookings, Google Appointment Slots).Best practices:- Set clear boundaries (availability, response times).- Use waiting rooms to manage multiple students.- Record office hour sessions if needed (with permission) for follow-up.- Offer a mix of synchronous and asynchronous options.Calendly – https://calendly.com/ Microsoft Bookings – https://www.microsoft.com/en-us/microsoft-365/bookings Zoom – https://zoom.us/ Google Meet – https://meet.google.com/ Reducing Repeat Questions Before They HappenFAQ documents and pinned announcements as the first line of defense.LMS-integrated Q&A boards (Canvas Discussions, Blackboard Forums, Moodle Forums).Use AI or chatbots (Piazza, Packback, or even ChatGPT-based FAQ bots).Benefits: saves time, encourages peer learning, builds classroom community.Piazza – https://piazza.com/ Canvas Discussions – https://community.canvaslms.com/t5/Instructor-Guide/How-do-I-create-a-discussion-as-an-instructor/ta-p/1029 Notion – https://www.notion.so/ Google Docs – https://docs.google.com/Meetings with Colleagues – Making Collaboration ClickAvoiding calendar chaos: set recurring meetings, share calendar visibility.Use shared agendas (Google Docs, OneNote, Notion) to keep things focused.Screen sharing for collaborative editing, reviewing student work together. Alternatives to meetings: Asynchronous check-ins via Slack, Teams, Loom.Loom – https://www.loom.com/ Slack – https://slack.com/ Microsoft Teams – https://www.microsoft.com/en-us/microsoft-teams/group-chat-software Doodle – https://doodle.com/ Pro Tips – Keeping Virtual Time ProductiveHave students submit a quick form ahead of office hours (topic, question).Use breakout rooms if multiple students show up.Share a weekly 'top questions' summary with answers.Offer optional 'co-working' sessions—open Zooms for quiet work and drop-ins.Your Tech TakeawaysSet structured virtual availability, and stick to it.Lean on discussion boards and FAQs to cut down on repeat questions.Don't underestimate the value of asynchronous tools.Faculty-to-faculty virtual meetings thrive on shared documents and clear agendas.Links & ResourcesCalendly – https://calendly.com/ Piazza – https://piazza.com/ Loom – https://www.loom.com/ Google Forms – https://forms.google.com/ Notion – https://www.notion.so/ Microsoft Bookings – https://www.microsoft.com/en-us/microsoft-365/bookings Email: Thepotalknetwork@gmail.com Website: ThePodTalk.Net

In this episode of the Transform Sales Podcast: Sales Software Review Series, Dave Menjura ☁, Marketplace Specialist at CloudTask, chats with Carol Miranda, Sales Lead at MeetGeek, a platform designed to automate meeting recording, transcription, and summaries. MeetGeek helps Account Executives save time by eliminating the need for manual note-taking, allowing them to focus on closing deals instead. Carol discusses how MeetGeek enhances team productivity by integrating seamlessly with tools like Google Meet, Zoom, and CRM systems. The platform provides real-time meeting summaries, action items, and insights into customer behavior, empowering sales teams to act quickly on opportunities. Carol also explains how the tool improves follow-up efficiency by automating post-meeting tasks and reducing manual data entry. Listeners will learn how MeetGeek helps organizations save valuable time by capturing essential meeting details and providing AI-driven insights to enhance decision-making. Carol highlights the platform's customization options, allowing teams to tailor the tool to their specific needs and workflows. Try MeetGeek here: https://software.cloudtask.com/meetgeek-3b77e4 #TransformSales #SalesSoftware #MeetGeek #CloudTask #AI #SalesAutomation

Jake Knapp and John Zeratsky are the co-creators of the Design Sprint (the famous five-day product innovation process) and authors of the bestselling book Sprint. After decades of working with over 300 startups in the earliest stages, they discovered that most startups fail not because they can't build, but because they build the wrong thing. The very beginning of a startup is your highest-leverage moment, and most teams waste months or years by skipping a few critical early questions. Jake and John developed the Foundation Sprint to help startups validate ideas and compress months of work into just two days.What you'll learn:1. The step-by-step Foundation Sprint process that compresses three or four months of validation into two days—including templates you can use immediately2. Why differentiation is the #1 predictor of startup success (with the 2x2 framework that you can use with your team)3. The three fundamental questions every founder should answer before writing a line of code4. The “note and vote” technique that eliminates groupthink and gets honest answers from your colleagues5. The seven “magic lenses” for choosing between multiple product ideas6. The biggest mistake engineers make when building with AI tools7. The paradox of speed: why “building nothing first” can get you to product-market fit faster—Brought to you by:Brex—The banking solution for startups: https://www.brex.com/product/business-account?ref_code=bmk_dp_brand1H25_ln_new_fsParagon—Ship every SaaS integration your customers want: https://www.useparagon.com/lennyCoda—The all-in-one collaborative workspace: https://coda.io/lenny—Transcript: https://www.lennysnewsletter.com/p/the-foundation-sprint-jake-knapp-and-john-zeratsky—Where to find Jake Knapp:• X: https://twitter.com/jakek• LinkedIn: https://www.linkedin.com/in/jake-knapp/• Website: https://jakeknapp.com/—Where to find John Zeratsky:• X: https://twitter.com/jazer• LinkedIn: https://www.linkedin.com/in/johnzeratsky/• Website: https://johnzeratsky.com/—In this episode, we cover:(00:00) Introduction to Jake Knapp and John Zeratsky(04:41) Origins of the Design Sprint(11:06) The Foundation Sprint process(14:40) Phase one: The basics(16:57) Case study: Latchet(28:50) Phase two: Differentiation(36:24) The importance of differentiation(40:15) Thoughts on price differentiation(43:37) Case study: Mellow(46:04) Custom differentiators(49:30) The mini manifesto(52:02) Phase three: Approach to the project(54:50) Magic lenses activity(01:02:39) Prototyping and testing(01:10:00) Real-world examples and success stories(01:15:15) Motivation behind The Foundation Sprint(01:17:15) The outcome of the sprint: The founding hypothesis(01:19:28) The Design Sprint(01:28:19) The role of AI in prototyping(01:36:50) Final thoughts and resources—Referenced:• Introducing the Foundation Sprint: From the creators of the Design Sprint: https://www.lennysnewsletter.com/p/introducing-the-foundation-sprint• Making time for what matters | Jake Knapp and John Zeratsky (authors of Sprint and Make Time, co-founders of Character Capital): https://www.lennysnewsletter.com/p/making-time-for-what-matters-jake• Eli Blee-Goldman on LinkedIn: https://www.linkedin.com/in/eli-blee-goldman/• Character Capital: https://www.character.vc/• Character Labs: https://www.character.vc/labs• Etsy: https://www.etsy.com/• Shopify: https://www.shopify.com/• Naming expert shares the process behind creating billion-dollar brand names like Azure, Vercel, Windsurf, Sonos, Blackberry, and Impossible Burger | David Placek (Lexicon Branding): https://www.lennysnewsletter.com/p/naming-expert-david-placek• Sonos: https://www.sonos.com/• Vercel: https://vercel.com/• Windsurf: https://windsurf.com/• April Dunford on product positioning, segmentation, and optimizing your sales process: https://www.lennysnewsletter.com/p/april-dunford-on-product-positioning• Positioning: https://www.lennysnewsletter.com/p/positioning• 10 things we know to be true: https://about.google/company-info/philosophy/• Gandalf: https://en.wikipedia.org/wiki/Gandalf• Frodo: https://en.wikipedia.org/wiki/Frodo_Baggins• Mordor: https://en.wikipedia.org/wiki/Mordor• 35 years of product design wisdom from Apple, Disney, Pinterest, and beyond | Bob Baxley: https://www.lennysnewsletter.com/p/35-years-of-product-design-wisdom-bob-baxley• The Primal Mark: How the Beginning Shapes the End in the Development of Creative Ideas: https://www.gsb.stanford.edu/faculty-research/publications/primal-mark-how-beginning-shapes-end-development-creative-ideas• Base44: https://base44.com/• Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo• Google Meet: https://meet.google.com/• Blue Bottle Coffee: https://bluebottlecoffee.com• Reclaim: https://reclaim.ai/• The official Foundation Sprint + Design Sprint template: https://www.character.vc/miro-template• Rippling: https://www.rippling.com/• Latchet: https://latchet.com/• Mellow: http://getmellow.com/• AxionOrbital: https://axionorbital.space/—Recommended books:• Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days: https://www.amazon.com/Sprint-audiobook/dp/B019R2DQIY• Make Time: How to Focus on What Matters Every Day: https://www.amazon.com/Make-Time-Focus-Matters-Every/dp/0525572422• Click: How to Make What People Want: https://www.amazon.com/Click-Make-What-People-Want/dp/1668072114Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

This week, Keegan King joins me to review the new Disney/Pixar movie, Elio in a feature review and then, in this week's secondary review, we talk about A Minecraft Movie. We also discuss recent movie and TV news, screenings around Indianapolis, and more. Timestamps Show Start - 00:28 Introducing Keegan - 02:11 Screening in Indy - 04:43 News Before the Reviews - 08:18 Feature Review Elio (2025) - 23:03 Spoiler - 59:01 Secondary Review A Minecraft Movie (2025) - 1:26:25 Potpourri Keegan: The Bear - 1:59:19 Matt: Spaceballs & The Naked Gun - 2:03:23   Closing the Ep - 2:05:48 Patreon Clip - 2:06:46   Related Links The Waiting Game is screening in Indianapolis July 10 at 7p at the beautiful Kan-Kan Theater! Denis Villeneuve's ‘Dune 3' Gets Official Title, Will Be Shot With Imax Cameras AMC Theatres to Offer 50% Off Tickets on Tuesdays and Wednesdays Michael Madsen, ‘Reservoir Dogs' and ‘Kill Bill' Actor, Dies at 67 AMC Theatres Is Putting More Commercials Before Screenings. It Cheapens the Moviegoing Experience and Hurts the Film Business Introducing The Last of Us Part II Remastered Chronological Experience, out today Heartland Film - IndyShorts International Film Festival   Keegan's Letterboxd   My 2025 Podcast and Writing Archive Patreon Special - 28 Days Later (2002) at Alamo Drafthouse - May 23, 2025 Immediate Reaction - Clown in a Cornfield (2025) - May 16-21, 2025 Immediate Reaction - The Life of Chuck (2025) - May 29, 2025 Patreon Companion Episodes Collection Companion Ep - OV477 - Final Destination 1-5 Retrospective - May 24-25, 2025 Patreon - Severance Episode Reviews   Indianapolis Theaters Alamo Drafthouse Indy Kan-Kan  Living Room Theaters Keystone Art  Flix Brewhouse   Ways to Support Us Support Us on Patreon for Exclusive Content Official OV Merch Buy Me A Coffee Obsessive Viewer Obsessive Viewer Presents: Anthology Obsessive Viewer Presents: Tower Junkies As Good As It Gets - Linktree Start Your Podcast with Libsyn Using Promo Code OBSESS   Follow Us on Social Media My Letterboxd | YouTube | Facebook | Twitter Instagram | Threads | Bluesky | TikTok | Tiny's Letterboxd   Mic Info Matt: ElectroVoice RE20 into RØDEcaster Pro II (Firmware: 1.5.4) Keegan: Amazon Basics Microphone via Google Meet   Episode Homepage: ObsessiveViewer.com/OV482   Next Week on the Podcast OV483 - Superman (2025) & M3GAN 2.0 (2025)  

From Pomos, Cyprus...A tech tip about the new AI-powered updates from Google I/O, including real-time translation in Google Meet and enhancements to Google Pinpoint.Some concise advice about the significance of managing the full arc of change, not just the initial announcement.+++00:00 Location Update01:00 Tech Tip06:53 Concise Advice12:08 Wrapping up

[2025 Addendum….sorry for the ultra long-winded] Normally, we only share one rerun a month at Nerd Noise Radio. But due to the confluence of a) our having missed the May rerun completely, b) our not getting a June rerun out until the very end of the month, and c) a very important thematic connection to an event currently happening in the VGM podcast scene this month, I'm releasing…..not one……not two……not four…..but THREE reruns in July! From 2022 through 2024, the greater VGM podcast community participated in a glorious group experiment called “Masters of VGM” (or “MoVGM” for short - I think I might've even been the one to coin the shorthand…..maybe), where a master theme was decided upon by the community, and then every participating podcast would do an episode, or a handful of episodes in keeping with the crowdsourced theme. Nerd Noise Radio participated all three years - with a Channel 2 in 2022, a Channel 1 in 2024, and in 2023, with a whopping FOUR installments where we had a Channel 1, a Channel 2, and two Channel Fs. Channel F, for the new faces in the crowd is our mechanism for betas, and bonuses, and things which just don't fit the mold for a regular episode. Channel F is “format agnostic” and does not have any sort of regular release cadence whatsoever. So, “F-isodes” as I call them (and am probably WAY too proud of myself for that), can be just whatever, and come out just whenever. The people who devised and oversaw MoVGM have largely significantly reduced their presence in the podcast scene over the past couple years, and so had elected to not continue MoVGM into 2025. However, a handful of us, Alex “The Messenger” Messenger of “A VGM Journey” (https://terraplayer.com/shows/a-vgm-journey), Professor Tom from “Shujin Academy VGM Club” (https://terraplayer.com/shows/shujin-academy-vgm-club), and myself have decided that, while not formally reviving MoVGM, we were going to do something of our own, in that same spirit. While the name hasn't been officially finalized as of this writing on July 2nd, and could still change, the “working title” (that will very likely become the final title), which was proposed by Professor Tom is “VGM Hall of Fame” I'll go ahead and dub it “HoF” for short. Naturally, we're trying to also inspire other podcasters to join us so that it is not just we three, but at the very, very least, there will be an HoF episode from all of us on the theme of “a soundtrack that belongs in a theoretical “VGM Hall of Fame” (hence the name). Nerd Noise Radio's contribution to this will be a Channel 1 featuring the Super Metroid soundtrack (C1E97). If I have the time, and the mental energy, I might also supplement this with an F-isode on a much more obscure soundtrack that begs to enjoy greater awareness and celebration (Lucid 9, if it ends up happening). One other major difference between HoF and MoVGM is that MoVGM occurred in June (2023 was so big that it extended into July) where HoF will occur in July. We all wanted to do this in June, but we were all too deep into production of our respective June content at the time that we all agreed to just push it back to July instead. Anyway, over the river and through the woods, to the point I *FINALLY* get: in a bid to not only help draw extra attention to HoF and hopefully drum up a little excitement for it, among both listeners as well as other podcasters, especially prospective participants, as well as to simply celebrate some of the glory that was this remarkable moment in time for a community, this month, I will rerun our 2022 MoVGM contribution, our 2023 Channel 2 contribution, which was a sort of “spiritual sequel” to our 2022 outing (with links to our other 2023 contributions in that rerun's show notes), and finally, to our 2024 offering. And naturally, we'll start with 2022. The theme of 2022 was “which composers would you put on your ‘VGM Mount Rushmore'”? So everyone was to pick four composers. Since Ch 2 was Hugues and I, rather than picking just two, we each picked four for a grand total, of course, of eight, and then did a thing where we each picked one track from each of the eight composers (one each for our own composers, as well as one each for the other guys' composers). With this being a 2022 production, all the usual caveats about production quality differences and deficiencies. Between a lesser mic and less fully developed production techniques, the sound quality will not be up to the standards of a 2025 episode (I also hadn't started editing out the “umms” yet….apologies for that!). But it's still pretty decent. Certainly decent enough that it doesn't really feel like a barrier to enjoyment like, say, a 2018, or especially 2017 episode would be. And so, without further ado: our first of three reruns this month, the first of three to celebrate the memory of MoVGM as well as hopefully whet people's appetites for HoF: C2E8: “Our Four Favorites” - originally released 06/30/2022.   Enjoy!   ---------------------------------------------------------------------------------------------------------------------- Original Show Notes: Today's Broadcast is C2E8 for Theme Thursday, June 30th, 2022. Today's episode will be Nerd Noise Radio's contribution to the greater VGM podcast scene massive group project “Masters of VGM” (https://mastersofvgm.com) and like all “MoVGM” episodes from all the participating podcasts, will be a focus on our four favorite composers (with a surprise “East meets West” twist) - on a program that we're quite simply calling “Our Four Favorites”   01) Earcatcher: 00:00:00 02) Hugues' Composer #4: Yoko Shimomura! Hugues' Yoko track: Ken's Theme - Street Fighter II - Arcade Music - 00:00:03 Intro: 00:02:13 Top of Show Business: 00:04:08 Track (and composer) Discussion: 00:19:19 John's Yoko Track: Kairi 1 - Kingdom Hearts - PS2 Music - 00:24:26 Discussion - 00:26:09 03) John's Composer #4: Martin Iveson! John's Martin Track: Shop Theme - Jaguar XJ220 - Sega CD Music - 00:33:23 Discussion - 00:34:48 Hugues' Martin Track: Country Select - Jaguar XJ220 - Sega CD Music - 00:38:24 Discussion - 00:39:44 BEGIN: Bad Audio for voice (backup copy - see note after track list) - 00:40:15 04) Hugues' Composer #3: Yuzo Koshiro! Hugues' Yuzo Track: Daiba Freezing Town - 7th Dragon 2020 - PSP Music - 00:42:38 Discussion - 00:45:55 John's Yuzo Track: Undiscovered Realm (in-game symphonic vers) - Actraiser Renaissance - multiplatform Music - 00:50:21 Discussion - 00:52:39 05) John's Composer #3: Spencer Nilsen! John's Spencer Track: Cathedral and Sewers - Batman Returns - Sega CD Music - 00:57:33 Discussion - 01:00:44 END: Bad Audio for voice (backup copy) - 01:06:09 Hugues' Spencer [maybe] Track: The Vents - Ecco the Dolphin - Genesis (possibly composed by Andras Magyari and/or Brian Coburn instead - or as well) Music - 01:06:25 Discussion - 01:08:38 06) Hugues' Composer #2: Nobuo Uematsu! Hugues' Nobuo Track: The Oath - Final Fantasy VIII - PS1 Music - 01:14:53 Discussion - 01:18:09 John's Nobuo Track: Esto Gaza - Final Fantasy IX - PS1 Music - 01:25:26 Discussion - 01:29:05 07) John's Composer #2: Matt Furniss! John's Matt Track: The Red Woods - Puggsy - Genesis Music - 01:34:57 Discussion - 01:37:59 Hugues' Matt Track: Title - Sega Chess - Mastersystem Music - 01:42:39 Discussion - 01:44:46 08) Hugues' Composer [TEAM] #1: Hayato Sonoda and/or Takahiro Unisuga [Falcom Sound Team JDK]! Hugues' Falcom Track: Blue Destination - Trails of Cold Steel II - Vita/PS3/PS4/PC Music - 01:51:41 Discussion - 01:56:28 BEGIN: More Backup voice audio - 02:01:07 END: More Backup voice audio - 02:01:13 John's Falcom Track: Crystal Valley - Zwei II - PC [EDITOR'S NOTE: I missed my chance to point out that Zwei (pronounced “TsvI”)is the German word for “two”. So this game is basically called “Two Two”. :-D - St. John] Music - 02:07:38 Discussion - 02:10:10 09) John's Composer [TEAM] #1: The Super Follin Bros [Tim and/or Geoff Follin] John's Follin Track: Gambit - Spider-Man / X-Men: Arcade's Revenge - SNES Music - 02:13:51 Discussion - 02:17:56 End of Show Business (and FINALLY titling the episode!) - 02:23:47 Our other Programs - 02:29:09 Hugues' Follin Track Discussion - 02:31:46 Sign Off - 02:34:38 Hugues' Follin Track: Parking Garage - Target Renegade - NES - 02:35:33 10) Blooper Reel (contains both high and low quality voice audio - AND OUR CENSOR SOUND!!!) - 02:38:48 11) Bonus 1: The Oath - Distant Worlds Symphonic Concert Version - 02:46:29 12) Bonus 2: Rain Angel - AtJazz (post-VGM non-VGM works by Martin Iveson) - Lab Results (album) - c 2002 - 02:51:47   Total Episode Runtime: 02:58:04   NOTE ON BACKUP [bad] AUDIO - SHORT[ISH] VERSION: when Hugues and I meet, we have our Google Meet output recording, as well as each having higher quality Audacity recordings of just our own sides of the conversation. We keep the Meet recording in case there is an emergency with the Audacity recording, but otherwise don't use it in the final episode, and I just align and combine our high quality Audacity recordings. On this episode, however, (a first for Ch 2) we lost a portion of Hugues' Audacity recording, so we did have to use our fallback a little bit. At the very bottom of the show notes, I'll include a LONG[ISH] VERSION which explains more. I did everything I could to minimize the impact of the Google Meet recording in the final episode. But it is noticeable at points.   You can find Brian and Kristen Peterson's GoFundMe here: https://gofund.me/1ef0f855. Again, absolutely zero pressure to contribute, but anything you do would certainly be most appreciated!   You can find our "Introduction to Nerd Noise Radio - 2022" blog here: https://nerdnoiseradio.blogspot.com/2022/06/nnr-blog-st-john-introduction-to-nerd.html   The Masters of VGM Website, once again, can be found at https://mastersofvgm.com/. You can also follow MoVGM on Twitter @MastersOfVGM! Please do check out some (or preferably, ALL) of the other shows' episodes in the series!   Retro Game Club can be found here:   https://podcasts.apple.com/us/podcast/retro-game-club/id1453018680   You can also follow Retro Game Club on Facebook and Instagram @retrogameclubpodcast and on Twitter @rgcpodcast.   Hugues' blog (and his Sega Genesis demo) can be found here:    https://huguesjohnson.com/   You can find Nerd Noise Radio on Facebook and on Twitter each @NerdNoiseRadio. There are also two Facebook Groups: Nerd Noise Radio “Easy Mode” where we just have general video game and nerd fun, or for the gearheads among you, Nerd Noise Radio “Expert Mode” where we deep dive sound hardware, composer info, and music theory.    You can find the blog at www.nerdnoiseradio.blogspot.com. Where we sometimes share additional show notes, and inside info. You can also find Nerd Noise Radio on Archive.org, where we have remixes and super bonuses only available there (such as a music-only alternative version of today's show).   Nerd Noise Radio is also a member of the Retro Junkies community, which can be found at www.theretrojunkies.com. And we are a member of the VGM Podcast Fans community on Facebook. St. John is also the admin of the Podcasters of Des Moines Facebook group, which features a number of other podcasters and great programs from the greater Des Moines area.   Thanks for listening! Join us again in July on Channel 1 for two separate retrospective episodes: C1E65a: “The Best of 2020 / 2021 - St. John's picks” and C1E65b: “The Best of 2020 / 2021 - Hugues' picks”. Then join us again in August on Ch 2 for C2E9: “Just Deserts”. And wherever you are….Fly the N!

After struggling for far too long, I decided it was finally time to switch things up in the backend of my business. Tune into this episode to hear:What wasn't working for getting things done in my businessCommon annoyances with Notion and why I ended up ditching it for task managementWhy I no longer care what my workspace looks likeThe simplified way I am tracking tasks nowWhy I'm loving Google Workspace and a peak into my productivity setupHow I love to use Google Calendar, Google Drive, Tasks, and Google Meet to cut costs in my annual business expensesHow you can get my free training on Getting Started with Google Workspace in your business!Register for the Google Workspace Workshop here.Send us a textFind more resources over at SarahSteckler.comCome say hi on Instagram @sarahsteckler

Ian Altman discusses the common oversights in channel sales teams, emphasizing that top performers excel in sales skills rather than product knowledge. He suggests that product launches should focus on market demand, problem-solving, and customer needs rather than just features. Altman recommends gathering feedback on sales challenges, preparing responses to objections like price, and using role-play scenarios to enhance sales techniques. He also stresses the importance of ongoing education and connectivity through platforms like Zoom or Google Meet to reinforce learning and maintain team engagement.Biggest MistakesSpending too much time talking about features and benefits of new productsFocusing solely on product knowledge instead of sales skillsNot explaining the demand in the marketplace that prompted the creation of new productsWhat can the company do to reduce friction and make it easier to do business with compared to other brands?Best PracticesFocus on solving client problems rather than extensive product knowledgeHave product managers explain why the product was introduced and what problem it solvesDiscuss how new products make customers' lives better and reduce risksSolicit information from attendees about where deals are getting stuckCreate role-play scenarios to model great conversations and outreach techniquesEnsure attendees leave with actionable plans and set up mechanisms for ongoing engagement

Struggling to manage a remote team spread across time zones? This episode dives into the real challenges and solutions of leading from a distance, with a focus on trust,communication, and culture.Laurie, our Director of Operations, shares how she builds high-performing remote teams without micromanaging. From setting clear expectations to fostering real connection across borders, you'll hear how strong leadership can drive accountability and loyalty—even when your team is never in the same room.If you're running a remote or hybrid team and want to strengthen performance without sacrificing culture, this conversation offers the insight you need.

From Cassette Tapes and Phrasebooks to AI Real-Time Translations — Machines Can Now Speak for Us, But We're Losing the Art of Understanding Each Other May 21, 2025A new transmission from Musing On Society and Technology Newsletter, by Marco CiappelliThere's this thing I've dreamed about since I was a kid.No, it wasn't flying cars. Or robot butlers (although I wouldn't mind one to fold the laundry). It was this: having a real conversation with someone — anyone — in their own language, and actually understanding each other.And now… here we are.Reference: Google brings live translation to Meet, starting with Spanish. https://www.engadget.com/apps/google-brings-live-translation-to-meet-starting-with-spanish-174549788.htmlGoogle just rolled out live AI-powered translation in Google Meet, starting with Spanish. I watched the demo video, and for a moment, I felt like I was 16 again, staring at the future with wide eyes and messy hair.It worked. It was seamless. Flawless. Magical.And then — drumroll, please — it sucked!Like… really, existentially, beautifully sucked.Let me explain.I'm a proud member of Gen X. I grew up with cassette tapes and Walkmans, boomboxes and mixtapes, floppy disks and Commodore 64s, reel-to-reel players and VHS decks, rotary phones and answering machines. I felt language — through static, rewinds, and hiss.Yes, I had to wait FOREVER to hit Play and Record, at the exact right moment, tape songs off the radio onto a Maxell, label it by hand, and rewind it with a pencil when the player chewed it up.I memorized long-distance dialing codes. I waited weeks for a letter to arrive from a pen pal abroad, reading every word like it was a treasure map.That wasn't just communication. That was connection.Then came the shift.I didn't miss the digital train — I jumped on early, with curiosity in one hand and a dial-up modem in the other.Early internet. Mac OS. My first email address felt like a passport to a new dimension. I spent hours navigating the World Wide Web like a digital backpacker — discovering strange forums, pixelated cities, and text-based adventures in a binary world that felt limitless.I said goodbye to analog tools, but never to analog thinking.So what is the connection with learning languages?Well, here's the thing: exploring the internet felt a lot like learning a new language. You weren't just reading text — you were decoding a culture. You learned how people joked. How they argued. How they shared, paused, or replied with silence. You picked up on the tone behind a blinking cursor, or the vibe of a forum thread.Similarly, when you learn a language, you're not just learning words — you're decoding an entire world. It's not about the words themselves — it's about the world they build. You're learning gestures. Food. Humor. Social cues. Sarcasm. The way someone raises an eyebrow, or says “sure” when they mean “no.”You're learning a culture's operating system, not just its interface. AI translation skips that. It gets you the data, but not the depth. It's like getting the punchline without ever hearing the setup.And yes, I use AI to clean up my writing. To bounce translations between English and Italian when I'm juggling stories. But I still read both versions. I still feel both versions. I'm picky — I fight with my AI counterpart to get it right. To make it feel the way I feel it. To make you feel it, too. Even now.I still think in analog, even when I'm living in digital.So when I watched that Google video, I realized:We're not just gaining a tool. We're at risk of losing something deeply human — the messy, awkward, beautiful process of actually trying to understand someone who moves through the world in a different language — one that can't be auto-translated.Because sometimes it's better to speak broken English with a Japanese friend and a Danish colleague — laughing through cultural confusion — than to have a perfectly translated conversation where nothing truly connects.This isn't just about language. It's about every tool we create that promises to “translate” life. Every app, every platform, every shortcut that promises understanding without effort.It's not the digital that scares me. I use it. I live in it. I am it, in many ways. It's the illusion of completion that scares me.The moment we think the transformation is done — the moment we say “we don't need to learn that anymore” — that's the moment we stop being human.We don't live in 0s and 1s. We live in the in-between. The gray. The glitch. The hybrid.So yeah, cheers to AI-powered translation, but maybe keep your Walkman nearby, your phrasebook in your bag — and your curiosity even closer.Go explore the world. Learn a few words in a new language. Mispronounce them. Get them wrong. Laugh about it. People will appreciate your effort far more than your fancy iPhone.Alla prossima,— Marco 

Our 210th episode with a summary and discussion of last week's big AI news! Recorded on 05/23/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. Join our Discord here! https://discord.gg/nTyezGSKwP In this episode: Google's Gemini diffusion technology showcases significant improvements in speed and efficiency for generating text, potentially revolutionizing the auto-regressive generation paradigm. Anthropic activates AI Safety Level 3 protections for Claude Opus 4, implementing robust measures such as bug bounties, synthetic jailbreak data, and preliminary egress bandwidth controls to mitigate bio-risk threats. OpenAI responds to the California Attorney General, refuting claims by the not-for-private-gain coalition and defending their controversial restructuring plans amidst ongoing criticism. Mistral delays the release of its Llama 4 Behemoth model due to training challenges, while Meta faces similar obstacles in rolling out its large-scale AI models, signaling difficulties in reaching frontier level performance. Timestamps + Links: (00:00:00) Intro / Banter (00:01:43) News Preview Tools & Apps (00:02:58) Anthropic's new Claude 4 AI models can reason over many steps (00:09:58) Google Unveils A.I. Chatbot, Signaling a New Era for Search (00:14:04) Google rolls out Project Mariner, its web-browsing AI agent (00:16:40) Veo 3 can generate videos — and soundtracks to go along with them (00:21:26) Imagen 4 is Google's newest AI image generator (00:23:15) Google Meet is getting real-time speech translation (00:25:36) Google's new Jules AI agent will help developers fix buggy code (00:26:43) GitHub's new AI coding agent can fix bugs for you (00:28:50) Mistral's new Devstral model was designed for coding Applications & Business (00:29:53) OpenAI Unites With Jony Ive in $6.5 Billion Deal to Create A.I. Devices (00:36:10) OpenAI's planned data center in Abu Dhabi would be bigger than Monaco (00:41:18) LM Arena, the organization behind popular AI leaderboards, lands $100M (00:45:21) Nvidia CEO says next chip after H20 for China won't be from Hopper series (00:46:39) Google's Gemini AI app has 400M monthly active users (00:51:15) AI Servers: End demand intact, but rising gap between upstream build and system production (2025.5.18) Projects & Open Source (00:53:46) Meta Is Delaying the Rollout of Its Flagship AI Model Research & Advancements (00:57:53) Gemini Diffusion (01:03:07) Chain-of-Model Learning for Language Model (01:09:16) Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space (01:15:38) Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training (01:20:16) Lessons from Defending Gemini Against Indirect Prompt Injections (01:23:35) How Fast Can Algorithms Advance Capabilities? (01:30:20) Reinforcement Learning Finetunes Small Subnetworks in Large Language Models Policy & Safety (01:31:12) Exclusive: What OpenAI Told California's Attorney General (01:38:25) Activating AI Safety Level 3 Protections

Bad news if you don't care about AI: this week was absolutely chock-full of AI news. First, Nilay, David, and The Verge's Alex Heath talk about the news that OpenAI and Jony Ive are teaming up to build... something. A gadget, for sure, maybe lots of gadgets. We don't know much, but we have a lot of thoughts, and a lot of questions. After that, the hosts talk through all the news at Google I/O, including what's new with Gemini, Google Search, Project Astra, Project Mariner, and the countless other ways Google is putting AI absolutely everywhere. Finally, in the lightning round, we buckle up for another round of Brendan Carr is a Dummy, talk through some late-breaking Apple gadget news, and marvel over the future of conference calls. Further reading: OpenAI is buying Jony Ive's AI hardware company From The Wall Street Journal: What Sam Altman Told OpenAI About the Secret Device He's Making With Jony Ive Details leak about Jony Ive's new ‘screen-free' OpenAI device  Jony Ive says Rabbit and Humane made bad products  The 15 biggest announcements at Google I/O 2025  Google launches AI Mode to everyone in the US, adds more features to AI Overviews Google's 3D video calling tech is finally going to ship this year  Project Astra 2025: Google's universal AI assistant is now smarter and more proactive  Google has a new tool just for making AI videos  Google reveals $250 per month ‘AI Ultra' plan  Google Meet can translate what you say into other languages  Google's Gemini AI is coming to Chrome  Google says its new image AI can actually spell  Google will let you ‘try on' clothes with AI  Google is bringing an ‘Agent Mode' to the Gemini app We tried on Google's prototype AI smart glasses Microsoft CTO Kevin Scott on the birth of the agentic web  Microsoft's plan to fix the web: letting every website run AI search for cheap Google rejected giving publishers more choice to opt out of AI Search  Google is stuffing even more ads into its AI results  Google's Gemini AI is coming to Chrome  Google reveals $250 per month ‘AI Ultra' plan  FCC Chairman Carr seeks to designate NBC equal time issue for hearing FCC approves Verizon's $20 billion merger after it commits to ‘ending' DEI Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Mayur Kamat is the chief product officer at N26—a $9 billion neobank serving over 7 million customers in 25 countries—where he leads product, design, data, and research. Prior to N26, Mayur was Head of Product at Binance, growing the crypto exchange to a peak $400 billion valuation. Earlier in his career, he built and scaled products at Google (Gmail Mobile, Hangouts), Microsoft, and travel unicorn Agoda.Learn:1. How to find and focus on the highest-leverage problems2. Why you shouldn't optimize for compensation early in your career3. Why you should optimize for strengths, not weaknesses4. Why you need to decide if you truly want the C-suite path5. Why working at a fintech company creates exceptional PMs6. Strategy = hypothesis × experimentation velocity7. Small, fast wins compound faster than big, slow bets—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Paragon—Ship every SaaS integration your customers want• Vanta—Automate compliance. Simplify security.—Where to find Mayur Kamat:• X: https://x.com/5degreez• LinkedIn: https://www.linkedin.com/in/mayur/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction and Mayur's background(04:49) Working at Binance: An inside look(18:18) Career advice for product managers(27:00) PM career paths(33:58) Understanding fintech customers(36:00) Understanding your strengths(44:46) Creating a culture of experimentation(51:14) Hiring and developing top talent(54:50) Building a diverse product portfolio(57:08) Working in high talent density areas(59:43) Personal and professional balance(01:06:32) High-leverage opportunities and decision making(01:14:28) AI tools in the workplace(01:19:14) Failure corner(01:25:11) Lightning round and final thoughts—Referenced:• Binance: https://www.binance.us/• Google: https://about.google/• Microsoft: https://www.microsoft.com/• Agoda: https://www.agoda.com• N26: https://n26.com/• Which companies accelerate PM careers most: https://www.lennysnewsletter.com/p/which-companies-accelerate-your-pm• Which companies produce the best product managers: https://www.lennysnewsletter.com/p/which-companies-produce-the-best• Bezos Says Work-Life Balance is a “Debilitating” Phrase: https://www.investopedia.com/news/bezos-says-worklife-balance-debilitating-phrase/• Maslow's Hierarchy of Needs: https://www.simplypsychology.org/maslow.html• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Changpeng Zhao on LinkedIn: https://www.linkedin.com/in/cpzhao/• Ray Dalio on LinkedIn: https://www.linkedin.com/in/raydalio/• Porter's five forces: https://en.wikipedia.org/wiki/Porter%27s_five_forces_analysis• Jonathan Rosenberg on X: https://x.com/jjrosenberg• Aura: https://buy.aura.com/• Intercom: https://www.intercom.com/• Palantir: https://www.palantir.com/• Revolut: https://www.revolut.com/• Chime: https://www.chime.com/• Stripe: https://stripe.com/• Dropbox: https://www.dropbox.com/• Alex Algard on LinkedIn: https://www.linkedin.com/in/alexalgard• Hiya: https://www.hiya.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Gemini: https://gemini.google.com/app• Writer: https://writer.com/• Google Hangouts: https://en.wikipedia.org/wiki/Google_Hangouts• Sundar Pichai on LinkedIn: https://www.linkedin.com/in/sundarpichai/• Google Meet: https://meet.google.com/landing• House on Hulu: https://www.hulu.com/series/ef39603f-eb90-4248-8237-f6168d7c1be1• Big Bang Theory on Hulu: https://www.hulu.com/series/9bde5aeb-5297-4290-b173-19a4d59cc11d• Adolescence on Netflix: https://www.netflix.com/title/81756069• The White Lotus on HBO: https://www.hbo.com/the-white-lotus• Robinhood: https://robinhood.com/us/en/• Nikita Bier's post on X about Bible Chat: https://x.com/nikitabier/status/1915252215507210349• Bible Chat: https://apps.apple.com/us/app/bible-chat-daily-devotional/id6448849666?mt=8• Suno: https://suno.com/home• Disfrutar: https://www.disfrutarbarcelona.com/—Recommended books:• StrengthsFinder 2.0: https://www.amazon.com/StrengthsFinder-2-0-Tom-Rath/dp/159562015X• The 5 Types of Wealth: A Transformative Guide to Design Your Dream Life: https://www.amazon.com/Types-Wealth-Transformative-Guide-Design/dp/059372318X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Google just dropped like 3 years of AI updates on us in 3 hours.