Podcasts about notebooklm

Discover how software engineering teams at NEXT use an AI first approach to build backbone retail systems.In this episode, we sit down with developer, Nabin, from our product technology team to explore how tools like GitHub Copilot, Google Gemini, and NotebookLM are used to create rapid interactive prototypes and reduce administrative tasks. We also discuss the journey of relocating from Kerala to Leicester, adapting to a new city, and how participating in our Sports and Social community helped build lasting connections across departments.

On today's episode, Dr. Steve Dove and Dr. Beau Sparkman breaks down practical ways dental teams can move beyond casual AI use and start building repeatable workflows that actually improve the practice.  They walk through tools like ChatGPT, Claude, Gemini, Perplexity, and NotebookLM, explain how to build stronger prompts, and show how AI can support everything from PR responses and Google reviews to SOPs, team training, research, and decision-making. They also discuss automations, AI agents, HIPAA considerations, and why the real advantage comes from systemizing AI instead of simply asking random questions. Be sure to check out the full episode from the Dentalpreneur Podcast! EPISODE RESOURCES https://www.truedentalsuccess.com Dental Success Network Subscribe to The Dentalpreneur Podcast

Olivier Sibony est professeur à HEC et spécialiste de la décision. Eric Hazan est investisseur et ancien senior partner chez McKinsey. Ils viennent de publier ensemble "Faut-il encore décider ?", un livre qui refuse d'être technophobe comme il refuse d'être technophile, et qui cartographie ce qu'on peut confier à une IA et ce qu'on doit garder pour soi.Je les connais tous les deux, mais séparément, et c'était la première fois que je les avais en face de moi ensemble. Ça se sent : ils se coupent la parole, se corrigent, se chambrent sur les anglicismes, et surtout ils ne sont pas toujours d'accord. C'est exactement ce que je cherchais.Ce qui m'a le plus remué dans cette conversation, c'est cette idée qu'on ne se fait pas déposséder de nos décisions : on les abandonne. Par confort. Parce qu'on est fabriqués pour économiser notre énergie, et qu'une réponse bien formulée par une machine nous suffit largement.Dans cet épisode, nous parlons de l'effet de contentement, du risque de démission, de ce que devient la confiance en soi quand on fait relire chacun de ses mails, de la justice et du recrutement comme zones interdites, du deskilling, de la joie au travail, et de ce scénario de technocratie IA vers lequel on glisse sans l'avoir choisi.J'ai questionné Olivier et Eric sur ce que ça fait aux jobs, sur les valorisations d'OpenAI et d'Anthropic qui dépassent le PIB de la Pologne, et sur ce fameux moment où le médecin, l'ego coincé entre lui et la machine, fait moins bien que la machine seule.Une conversation dense, drôle par moments, et qui m'a laissé avec une question simple : sur quoi est-ce que je refuse de lâcher, moi, et pourquoi ?Citations marquantes« Le risque, c'est d'avoir toujours tendance à se défausser sur la machine, à lui demander une réponse et à finalement abdiquer toute responsabilité. Et ça, c'est un vrai danger. » (Olivier Sibony)« Les meilleurs médecins ont à peu près 74 % d'acuité, la machine 90 %. Mais quand tu mets les meilleurs médecins avec la machine, ils n'ont que 76 %. » (Eric Hazan)« Comment tu vas utiliser une IA comme partenaire de réflexion pour mieux réfléchir, et non pas comme une béquille sur laquelle tu vas te reposer pour ne pas réfléchir ? Toute la différence est là. » (Olivier Sibony)« L'IA est en train de devenir l'infrastructure du monde et notre infrastructure personnelle. On marche sur un petit tapis roulant, et on n'a aucun moyen de savoir comment il a été programmé. » (Eric Hazan)« Penser est un plaisir. Réfléchir n'est pas seulement instrumental : on le fera aussi pour le plaisir, comme on joue du piano. » (Olivier Sibony) Idées centrales discutées 1. L'IA générative pense comme notre système 1, et c'est exactement le piège (03:30 – 07:20)L'histoire de l'IA a commencé par une tentative de répliquer le système 2 : les règles, le calcul, les systèmes experts des années 70-80. Ça n'a jamais marché. L'IA générative, elle, imite le système 1 : rapide, fluide, spontanée, presque humaine. Pourquoi ça compte : quand ChatGPT nous dit de vérifier, il nous demande d'activer notre système 2. Or c'est fatigant. Alors on lit la réponse avec notre système 1, on la trouve plausible parce qu'elle est bien formulée, et on ne vérifie pas.2. L'effet de contentement et le risque de démission (08:00 – 09:40)Se satisfaire d'un résultat correct sans se demander s'il en existe un meilleur. Olivier l'appelle l'effet de contentement, Eric y ajoute le risque de démission : on abdique la responsabilité de la décision. Pourquoi ça compte : le problème n'est pas que la machine décide mal, c'est que personne ne décide plus vraiment. Et quand tu n'as pas réfléchi par toi-même, tu ne sais même pas ce que ta réponse aurait donné.3. Un LLM généraliste n'est jamais un bon outil de décision (14:40 – 16:00)Un outil d'aide à la décision, c'est un outil entraîné spécifiquement sur ta décision, avec tes objectifs, tes données, et testé sur un échantillon suffisant pour vérifier qu'il fait mieux que toi. Pourquoi ça compte : personne ne demanderait à ChatGPT le prix du siège d'un Paris–New York. Et pourtant on lui demande des décisions de recrutement, de couple, de carrière.4. Le paradoxe du médecin : l'ego entre la machine et le diagnostic (12:00 – 13:20)74 % d'acuité pour les meilleurs médecins, 90 % pour la machine, 76 % pour les deux ensemble. L'expérience du praticien s'intercale et dégrade le résultat. Pourquoi ça compte : ça retourne l'intuition dominante du "human in the loop". Sur certaines décisions, l'humain dans la boucle est le maillon qui abîme la performance. Le vrai gain, c'est de rendre au médecin le temps de l'empathie, pas de maximiser le nombre de patients.5. Performance x acceptabilité : la carte des décisions (24:00 – 26:15)Deux axes. Ce qui est performant et acceptable : trading haute fréquence, logistique, optimisation de données massives avec des règles claires. Ce qui est performant mais pas encore accepté : la voiture autonome, malgré plus de 40 000 morts par an au volant aux États-Unis. Ce qui reste inacceptable : la justice, l'évaluation des personnes. Pourquoi ça compte : un humain doit juger un autre humain en le regardant dans les yeux. La théâtralité du procès fait partie de la procédure démocratique, pas du folklore.6. Le deskilling n'est pas nouveau, la vraie question est de savoir ce qu'on refuse de perdre (26:15 – 30:00)On a cessé d'extraire des racines carrées à la main, on a gardé les tables de multiplication. Le GPS abîme peut-être l'hippocampe. Perdre une compétence libère du temps pour autre chose. Pourquoi ça compte : la bonne question n'est pas "est-ce que je perds des compétences", mais "quelles compétences, pour qui, sont assez importantes pour que je refuse de les perdre". Au cas par cas, personne par personne.7. Les jobs ne disparaissent pas d'un coup, l'économie est visqueuse (41:00 – 49:00)Le FMI évalue 22 à 25 % de la population active à risque d'automatisation quasi totale. Mais la transition industrielle prend une quinzaine d'années, et les entreprises ne font pas ce qui serait pourtant rentable. Deux consultants avec un demi-siècle de métier à eux deux l'ont vérifié mille fois. Pourquoi ça compte : les tâches disparaissent, les jobs se reconfigurent, d'autres apparaissent. Il y a plus de radiologues qu'avant. Il y a vingt ans, on ne pouvait pas imaginer le métier de podcaster.8. Il manque une infrastructure de la confiance (55:40 – 57:20)Quand tu achètes 400 grammes de carottes, tu ne demandes pas si la balance est truquée : quelqu'un l'a certifiée, et ce quelqu'un est certifié par l'État. Pour l'IA, cette chaîne n'existe pas. Pourquoi ça compte : aujourd'hui, un DRH sait que son outil de tri de CV est bon parce que la startup qui le lui a vendu le lui assure. C'est comme demander au boucher si la viande est bonne.Questions posées dans l'interviewPourquoi écrire ce livre à deux, et qu'est-ce que la décision et l'IA se disent l'une à l'autre quand on les croise ?C'est quoi le système 1 et le système 2, et pourquoi cette distinction éclaire-t-elle l'histoire entière de l'IA ?Qu'est-ce que l'effet de contentement, et comment savoir qu'on est en train d'y tomber ?Que se passe-t-il quand des millions de gens utilisent un LLM comme psy, sachant qu'il ne produit qu'une moyenne statistique de toutes les réponses possibles ?Est-ce que ça vous dérange que notre infrastructure cognitive quotidienne soit américaine, entraînée sur des valeurs qui ne sont pas les nôtres ?Quelles sont les décisions qu'on ne devrait jamais déléguer à une IA, et pourquoi la justice en fait partie ?Le deskilling : où est la limite entre une compétence qu'on peut abandonner et une compétence qui nous constitue ?Que fait l'IA à la confiance en soi de celui qui n'ose plus envoyer un mail sans le faire relire ?Comment repense-t-on la formation des juniors quand on automatise précisément les tâches qui servaient à les former ?Quels sont les jobs réellement à risque, et que valent les prédictions des entreprises qui ont besoin de justifier leur valorisation ?Quelles questions un dirigeant doit-il se poser avant de décider ce qu'il délègue à une IA ?Comment sait-on qu'on peut faire confiance à un système d'IA, et qui est censé le certifier ?Que penser d'un pays qui nomme une IA à la place d'un ministre, ou d'un patron qui remplace son management intermédiaire par des agents ?À quoi voulez-vous ouvrir, et à quoi voulez-vous claquer la porte ?Références citées dans l'épisodeLivres et auteurs"Faut-il encore décider ?", Olivier Sibony et Eric Hazan, le livre discuté (01:00)Daniel Kahneman, "Système 1 / Système 2" ("Thinking, Fast and Slow"), socle de toute la première partie (02:56, 03:35)Chercheurs et acteurs de l'IAYann LeCun, ex-responsable de l'IA chez Meta, sur les limites des Transformers et les World Models (37:40 – 40:40)Alex Lebrun et AMI Labs (Advanced Machine Intelligence Lab), société créée à Paris, valorisée environ 3,5 milliards de dollars pour environ 1 milliard levé (40:20 – 41:00)Fei-Fei Li, ex-Google, citée comme l'une des rares personnes travaillant sur les World Models (40:00)Mark Zuckerberg, annonce de son clone IA accessible à tous ses employés (59:40)Jack Dorsey, patron de Block (ex-Square), suppression annoncée du management intermédiaire, note "de la hiérarchie à l'intelligence" (60:00 – 60:40)Elon Musk, cité pour son scénario d'IA maximaliste (50:50)Études et institutionsÉtude Anthropic sur les utilisateurs qui perdent confiance dans leur propre système de valeurs (10:45)Étude Brookings sur l'automatisation qui supprime les barreaux de l'échelle de promotion interne, et sur les tâches automatisées qui faisaient partie de la joie au travail (30:50 – 33:00)FMI : 22 à 25 % de la population active à risque d'automatisation quasi totale (46:20)État du Maine et une douzaine d'autres États américains interdisant de nouveaux data centers (43:50)Professeurs d'université français se déclarant objecteurs de conscience face à l'IA générative (43:30)Outils et conceptsChatGPT, Claude, Gemini (09:40, 05:40)NotebookLM, cité comme piste de contrôle des sources (57:20)Friction fonctionnelle : une IA qui pose des questions au lieu de donner des réponses (52:00)Codécision, modèle central du livre (22:30, 54:30)Biais d'automatisation, effet de contentement, deskillingDestruction créatrice de Schumpeter (45:50)Personnalités mentionnées par GregEsther Perel, comme exemple de figure que les gens demandent aux LLM d'imiter sur les relations de couple (10:00)Timestamps clés 00:00 – Introduction Faut-il encore décider ? La question de l'épisode, posée d'entrée : où suis-je pertinent, où la machine l'est-elle davantage, et pourquoi déléguons-nous plus que nous ne devrions.01:50 – Deux auteurs, deux expertises Pourquoi écrire ce livre à deux : Olivier a passé sa vie sur la décision, Eric sur l'IA. Un livre qui refuse à la fois la technophobie et la technophilie.03:30 – Système 1, système 2, et l'histoire de l'IA L'IA des années 70-80 voulait copier notre pensée formelle et a échoué. L'IA générative imite notre pensée intuitive, et c'est pour ça qu'elle nous paraît presque magique.06:10 – Pourquoi on ne vérifie jamais Le système 1 est toujours actif. Vérifier demande un effort. Comme la machine s'exprime bien, on trouve sa réponse plausible et on s'arrête là.08:00 – L'effet de contentement Se satisfaire d'un résultat correct sans se demander s'il en existe un meilleur. Le moment où on cesse d'être exigeant.09:00 – Le risque de démission Déléguer les décisions qu'on ne devrait pas déléguer, par paresse. Et l'usage de l'IA générative comme psy, qui n'est qu'une moyenne statistique de toutes les réponses possibles.11:00 – Le biais d'automatisation Plus la machine est sophistiquée, plus on lui fait confiance. Y compris dans des contextes de guerre où elle indique où tirer.12:00 – Le chiffre qui dérange 74 % pour les meilleurs médecins, 90 % pour la machine, 76 % pour les deux ensemble. L'ego du praticien s'intercale et dégrade le diagnostic.14:00 – Un compagnon électronique, est-ce grave ? Distinguer la conversation qui tient compagnie de la décision. Olivier assume : il n'a pas de problème avec la première.14:40 – Vos objectifs, pas ceux de la machine Pourquoi un LLM généraliste n'est jamais un bon outil de décision, et ce qu'est un vrai outil d'aide à la décision.16:00 – Le tapis roulant L'IA devient l'infrastructure du monde et notre infrastructure personnelle, programmée par d'autres, pour leurs objectifs. Et l'anecdote des dash que l'IA refuse d'abandonner.19:00 – Le vrai sujet, ce sont les finalités Plutôt que traquer les biais de la machine américaine, définir les objectifs qu'on veut poursuivre. Exemple concret sur le recrutement : le mauvais prompt et le bon.22:30 – Déléguer, codécider, refuser Les trois régimes. Quand un radiologue confie ses radios à l'IA pour passer plus de temps avec son patient, ce n'est pas du temps perdu.24:00 – La carte : performance et acceptabilité Trading et logistique d'un côté, voiture autonome dans la zone grise, justice de l'autre. Un humain doit juger un autre humain.26:15 – Le deskilling Les tables de multiplication, la racine carrée à la main, le GPS et l'hippocampe. Chaque compétence perdue libère du temps, mais lesquelles refuse-t-on de perdre ?28:50 – Penser est un plaisir On peut obtenir un morceau infiniment meilleur en appuyant sur un bouton, et pourtant des gens jouent encore du piano. L'activité mentale comme fin en soi.29:50 – L'ennui des enfants Un passage indispensable à la construction cognitive, devenu rare. Et la réponse d'Olivier, qui déplace le problème vers les parents.30:30 – Les juniors, la formation, la joie au travail L'automatisation retire des barreaux à l'échelle de la promotion interne. Et elle automatise parfois précisément ce qui donnait de la joie au travail.33:50 – La perte de confiance en soi Celui qui n'ose plus envoyer un mail en anglais sans le faire relire. Est-ce l'IA qui abîme la confiance, ou est-ce qu'elle montre où était la barre ?36:50 – Une IA qui penserait comme un système 2 ? Le Graal technique : garder la richesse et la vitesse, sans les erreurs de raisonnement.37:40 – Yann LeCun et les World Models Pourquoi il n'y a pas de voitures autonomes à Paris, pourquoi une IA ne sait pas prévoir la chute d'un verre, et ce que changeraient des modèles qui comprennent le monde en 3D.41:00 – Les jobs : ce que dit le hype et ce que dit la réalité Les valorisations d'OpenAI et d'Anthropic dépassent le PIB de la Pologne. Il faut bien justifier ça par une révolution radicale et rapide.43:20 – Le backlash a déjà commencé Professeurs objecteurs de conscience, États américains qui interdisent les data centers. Extrapoler une tendance sans anticiper les réactions est l'erreur de prévision la plus courante.45:00 – Tâches, jobs, et manque d'imagination Il y a plus de radiologues qu'avant. Et il y a vingt ans, personne ne pouvait imaginer le métier de podcaster.46:20 – Les chiffres et la viscosité de l'économie 22 à 25 % de la population active à risque selon le FMI, mais une transition sur une quinzaine d'années. Ce qui est rentable n'est pas fait pour autant.48:40 – Un plan Marshall de la formation La seule chose vraiment utile à faire, et pourquoi il ne faut pas mettre de bâtons dans les roues de la transition.50:40 – Le scénario technocratie IA Un monde où quelques acteurs technologiques maîtrisent notre destin. On y va, non par bêtise, mais parce qu'on ne se pose pas les questions.53:40 – Les bonnes questions pour un dirigeant Ai-je assez de données ? Mes objectifs sont-ils clairs ? Et surtout : comment je sais que je peux lui faire confiance ?55:40 – Le test du boucher Un DRH qui sait que son outil de tri est bon parce que le vendeur le lui affirme. Là où on recevait 1 000 CV, on en reçoit 10 000.57:00 – L'infrastructure de la confiance 400 grammes de carottes, une balance certifiée, un service de l'État. Ce qui existe pour l'épicier n'existe pas encore pour l'IA.58:00 – Une IA ministre, un clone de Zuckerberg La croyance sous-jacente : le management ne serait qu'un tuyau de transmission d'informations. Il suffit d'avoir travaillé un peu en entreprise pour voir le problème.61:40 – Ouvrir la porte, claquer la porte Ce à quoi les deux invités veulent ouvrir, et ce qu'ils refusent : le catastrophisme technophobe qui suppose, sans jamais le dire, que l'humain est parfait. Suggestion d'autres épisodes à écouter : #188 Comment prendre de meilleures décisions? Avec Olivier Sibony (https://audmns.com/yXyKFbD) #357 Eduquer nos enfants à l'ère de l'intelligence artificielle avec Mathilde Cerioli (partie 1) (https://audmns.com/yftVVet) #324 Une Intelligence Artificielle comme amoureux? La réalité depasse la fiction avec Naomi Roth (https://audmns.com/tONiUZI)Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

In this episode, I share what you need to know about Gemini Notebook, the new name for NotebookLM, and why this Google AI tool is worth a spot in your teacher toolkit. You'll also hear what changed, what stayed the same, and favorite features to try, like debate-style audio overviews, customized slide decks, and infographics made from your own sources. If you want a quick guide to using Gemini Notebook in the classroom for lesson prep and student resources, this episode has you covered! Show notes: https://classtechtips.com/2026/09/08/gemini-notebook-in-the-classroom-387/ Sponsored by my free EdTech Essentials study guide: https://ClassTechTips.com/studyguide Follow Monica on Instagram: https://www.instagram.com/classtechtips/  Take your pick of free EdTech resources: https://classtechtips.com/free-stuff-favorites/   

In dieser Folge geht es um die Frage, welches KI-Tool für Trainer wirklich den Unterschied macht. Viele lassen sich von der Masse an neuen Möglichkeiten blenden, doch der Erfolg liegt nicht in der Anzahl der Accounts, sondern in der gezielten Auswahl. Wie findest Du das für Dich passende Tool für Deinen konkreten Anwendungsfall? Warum Du besser mit einem System startest, statt Dich durch zehn verschiedene Plattformen zu klicken. ChatGPT, Claude, Perplexity, NotebookLM, Copilot und nächste Woche kommt garantiert schon das nächste angebliche Wundertool. Aber musst Du als Trainerin oder Trainer wirklich jedes davon kennen, testen und bezahlen? ❌ Ganz klar: Nein. Für 85% bis 90% Deiner Aufgaben reicht meist ein einziges gutes KI System. Die entscheidende Frage lautet deshalb nicht: Welches Tool ist das beste? Sondern: Welches Tool passt zu Deiner Arbeit? Und wir sprechen darüber, wann ein zweites Tool wirklich sinnvoll ist, warum Social Media Hypes keine gute Kaufberatung sind und weshalb Datenschutz und Qualitätskontrolle immer bei Dir bleiben sollten. Darum geht's im Überblick:

You can spend a year building a “better” process and still end up with more work, more frustration, and a team that feels stuck. We've both lived it, and the painful truth is simple: when you optimize efficiency without a clear destination, you just drift faster. This conversation is about stopping that cycle before your tools and automations lock in the wrong future.We walk through the Clear Destination Framework to replace chaotic drift with real alignment. I share why the first job of leadership is naming, not delegating, and how leaders unintentionally “hand over the keys” to great hires, shiny AI tools, or new systems before clarity exists. Then we get practical: using AI to interview you until your vision is clear, capturing your raw truth through voice dictation, and turning messy thinking into a usable direction your team can follow.From there, we talk about context and why it is the missing ingredient in most AI workflows. By uploading your real sources of truth, like website URLs, playbooks, onboarding docs, transcripts, reviews, and product materials, you help large language models analyze your plan for misalignment and friction. Finally, we dig into Gemini Notebook (formerly NotebookLM) and why visual communication, like mind maps, slide decks, and infographics, can speed adoption and reduce confusion more than a 20-page manual ever will.If you want less guesswork and more traction, listen through and build toward the right destination, not just a faster version of today. Subscribe, share this with a leader who is “improving” everything, and leave a review with the biggest place you're seeing drift right now.Send us Fan MailSupport the show

This podcast was created using NotebookLM.This podcast describes the Community Oral Health Program at the Herman Ostrow School of Dentistry of USC, emphasizing its role in addressing the national shortage of dental professionals.

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Jeffrey W. Lucas, Paul J. Hanges, Kelly Beavan, Jordan Epistola, Emily Forgo, and Debra L. Shapiro's article entitled, 'Perceptions of Espoused Versus Enacted Culture Around Sexual Misconduct and Other Offenses Among U.S. Military Service Members'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Topics covered in this episode: OpenAI's Python SDK has migrated to HTTPX2 TMOG - Native Task Manager for macOS, Windows, and Linux wrapture - one wrapper for mocking, tracing, and observability linkedin2md: turn your LinkedIn export into 40+ Markdown files Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Consulting from Six Feet Up Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Calvin #1: OpenAI's Python SDK has migrated to HTTPX2 The OpenAI Python SDK has migrated to HTTPX2, the Pydantic-stewarded fork of httpx. Pydantic picked it up citing "limited activity recently" in the original project, promising "a reliably maintained path forward." If you just use the default client, nothing to do. No code changes. The catch is TLS. Quoting the guide: HTTPX "previously verified certificates against the CA bundle provided by certifi. HTTPX2 instead uses the operating-system trust store, and the SDK no longer installs certifi." That "can break certificate verification in minimal container images without system CA certificates, environments using corporate TLS-inspecting proxies, and deployments that relied on a custom or modified certifi bundle." The fix is SSL_CERT_FILE or SSL_CERT_DIR, or pass your own ssl.SSLContext via verify. Deeper integrations need real edits: custom clients, auth handlers, hooks, and request mocking all take HTTPX2 objects now, and plain httpx is no longer pulled in transitively. So import httpx in your own code means declaring it yourself or moving over. Temporary escape hatch: a legacy HTTPX client Michael #2: TMOG - Native Task Manager for macOS, Windows, and Linux A native, deeply instrumented system monitor for macOS, Windows, and Linux, now in public beta - from Plummers' Software, i.e. Dave Plummer, who wrote the original Windows Task Manager and donated it to Microsoft in 1995. Wikipedia Three real native apps: Swift/AppKit on macOS, Win32 on Windows, C++/Qt 6 on Linux, with a shared C++ core keeping metric semantics aligned - no browser shell anywhere. One dense summary: CPU, clocks, thermals, GPU, memory, storage, network, energy, and the processes responsible for the load, all click-through. Per-core honesty: logical processor and NUMA views, P and E cores color-coded, optional kernel time, 60 FPS live meters. Memory with context: pressure, wired, compressed, cached, committed, available, and swap, plus configurable scrolling history. Processes that act like processes: tree view, filtering, sorting, follow mode, and native verbs including service and launchd control. Phosphor themes: light, dark, green, amber, blue, or mono, with color and saturation you tune yourself. Calvin #3: wrapture - one wrapper for mocking, tracing, and observability Graham Dumpleton, author of wrapt and the original New Relic Python agent, has released wrapture. The name is wrapt plus capture. The core idea: wrap real code instead of replacing it, so the real code still runs while you watch every call. Name a method with wrapture.binding(Class, "method"), open a timeline(), and you get a tape of what actually happened. Real return values, real nesting, arguments normalised against real signatures. tape.tree() prints the call graph as it ran. One mechanism, three jobs: monkey patching with a real lifecycle (apply, remove, suspend, plus returns, raises, transforms_args), unit testing that asserts on real call flow instead of a flat MagicMock call list, and ad-hoc tracing of a running app. The testing pitch is error paths. Inject TimeoutError at the payment gateway, then assert the ledger was never written. Stubs and mocks are strict and spec-required, and there is deliberately no bare Mock(). Tracing needs no code at all. A wrapture.toml naming targets and a sink, run with python -m wrapture main.py, and you get a live call tree with timings. It captures ordinary logging calls as nested events, and with the otel extra it exports spans, metrics and correlated logs with W3C trace ids that join across services. Every line of code and docs was AI-written under their direction, and they say so up front. Two weeks from first commit, eleventh alpha, over 1000 tests, 150+ pages of docs. Alpha on PyPI, needs Python 3.12+ and wrapt 2.4.0+. Michael #4: linkedin2md: turn your LinkedIn export into 40+ Markdown files Via Juan Manuel Daza - a Python CLI that unpacks LinkedIn's data-export ZIP into clean, per-category Markdown you can drop straight into an LLM. One command: linkedin2md Complete_LinkedInDataExport.zip, plus o for output dir, -lang en|es, and -pdf. 40+ output files: profile, experience, education, skills, connections, posts, comments, reactions, recommendations, endorsements, job applications, even ad targeting and LinkedIn's inferences about you. Built for LLM analysis: the README pitches NotebookLM, Claude Projects, Obsidian, and Ollama, with example prompts like "what patterns do you see in my career transitions?" PDF resume mode: -pdf renders an A4 CV via weasyprint, and degrades gracefully to Markdown-only if it isn't installed. Dependency note: "pure Python / zero-dep" holds for the Markdown path only - the PDF path needs weasyprint and markdown installed. Install: pipx install linkedin2md recommended, pip in a venv otherwise - 86% Python, 10 releases, v0.3.1 in May. Agentic dev angle: repo ships opencode config and an N3RV subagent pipeline, including a "judgment day" dual-model adversarial PR review. Extras Calvin: EVE Online Migrates to Python 3 Michael: Dinkus by Will McGugan Joke: Tao of Programming: Book 5 Maintenance

In this episode, Ray Cochrane digs into Anthropic’s Model Hardware Standard. It is a shared driver that lets an AI agent run real lab equipment, from pipetting robots to the lasers inside a quantum computer. He also covers OpenAI’s builder’s guide to GPT-5.6, Google’s new Expert Intelligence book feature, Apple’s M5 Ultra Mac Studio, and a judge’s order forcing Google to stop hiding rival app stores. Finally, he weighs in on Apple’s proposed 15 percent link-out fee, Meta’s Australia numbers, the White House deputizing private hackers, and why rivers obey a 1957 math rule. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. He is hunting for tickets to Michigan for his dad’s anniversary, and he has been learning Blender and Godot on the side, mostly modeling and blocking out levels. Consequently, he asks listeners for advice on starting a big game project, and he plans to record his progress, maybe as a time lapse. Then it is straight into the featured story. Anthropic’s Model Hardware Standard: A Driver for the Physical World The featured story comes from Anthropic, which opened a research preview of the Model Hardware Standard, or MHS. Cochrane frames it as the other side of the question NVIDIA’s world models raised two weeks ago: when do AI agents start touching actual machines? A typical lab runs a microscope, a liquid handler, a robotic arm, and a plate reader, each from a different vendor with its own control software. One Janelia researcher in the post launches seven programs in three languages just to start an experiment. Anthropic says wiring a setup like that takes weeks or months of specialist work. MHS is a driver, the same kind of translation layer a printer uses, except every device gets described with a tiny set of commands like read and write. Devices announce themselves on the network. A plain-English reference file then records what each machine measures, what can be adjusted, and which safety limits get enforced no matter what the agent asks. Agents then reach the hardware through the Model Context Protocol, the command line, or plain code. Cochrane sees the same move the industry keeps making, from coding harnesses to RSS and JSON: agree on a standard and let everyone build against it. In fact, he calls MHS the hardware version of MCP. The partner results carry the segment. QuEra builds quantum computers from individual atoms held by lasers that must hold their frequency to about one part in a trillion. A four-person team spent months on a relock script that worked 58 percent of the time. However, four copies of Claude iterating overnight through MHS produced a decision-tree script that recovers the laser in about six seconds, and it passed 99.3 percent of 700 blind trials. Carnegie Mellon wrote MHS drivers for four instruments across three incompatible computers in about eight hours, then ran dose-response experiments three times faster and blocked all six deliberately induced faults. Genentech, meanwhile, showed the limits. Claude used the same pump speed for water, a foamy protein solution, and a human had to explain that the bubbles were a physics problem. That gap in physical intuition is what sticks with Cochrane. He doubts it will change soon, and he suspects the fix will arrive as sub-agents or sub-models that judge a request against an expected outcome. He also connects MHS to a video of racing robots that never learned to stop at the finish line. What happens, he wonders, once they can read a distance sensor through a shared standard? Still, he calls the announcement a fantastic read and points listeners to the full article. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. GPT-5.6 Does the Same Work for a Fraction of the Cost OpenAI’s builder’s guide to GPT-5.6 leads the headlines. Cochrane recaps the three tiers from episode 1870, Sol, Terra, and Luna, plus the separate dial for reasoning effort. On BrowseComp, a benchmark for digging up obscure facts on the web, the old GPT-5.5 flagship scored about 84 percent on a run that cost 33 dollars three months ago. Luna now matches that score for a dollar thirty-three, and OpenAI has since cut Luna’s price another 80 percent. Browser Use reports Luna finishing 78 percent of its hardest browser tasks for about 14 dollars, against 80 percent for roughly 235 dollars from the best available model. The guide’s other big addition is a multi-agent beta flag. It lets the model handling a request spawn parallel helper agents that report back to a root agent inside a single API call. However, Cochrane is unimpressed by the timing. He has been running that pattern in Claude Code for months, so he sees OpenAI copying a workflow other companies already ship rather than inventing its own. Along the way, he plugs Claude Code’s remote-control sessions, which let him send prompts from his phone to a terminal session at home. Google Lets Gemini Read the Books You Actually Bought Google launched Expert Intelligence, a name Cochrane calls quite the reach. The feature lets you drop a book you bought on Google Play Books into Gemini Notebook, formerly NotebookLM, and ask questions answered only from that book, with citations. Cochrane sees real power here for students, since he once used NotebookLM to organize scattered course PDFs. Additionally, publishers get a cut, which he calls a far better deal than the wholesale scraping of books that trained earlier models. Nevertheless, he asks who loses out, because a paid publisher does not automatically mean a paid author. He floats the same idea for artists, even a penny per use, then admits that may be too idealistic. Apple’s M5 Ultra Mac Studio Is Built to Run Big Models at Home Back in episode 1861, when Apple killed the Mac Pro, an M5 Ultra Mac Studio was expected later this year. Now it is here. The M5 Ultra brings up to a 36-core CPU, an 80-core GPU, and 512GB of unified memory moving 1.2 terabytes per second. Apple claims up to 4.3 times the AI performance of the M3 Ultra. Thunderbolt 5 can also cluster four machines into one memory pool for up to three times faster inference. The M5 Max model starts at $2,499 and the Ultra at $5,499, with shipping on September 22 and the 512GB configuration arriving in late October. Cochrane finds the clustering pitch ridiculous at that price, but he invites anyone who spends the money to report back. Apple Opens a Manufacturing School in Houston Apple also opened a 20,000-square-foot Advanced Manufacturing Center in Houston. It offers free classes for small and midsize manufacturers, from circuit board design to hands-on time on a scaled-down production line, with college students joining later. Cochrane calls it a solid step in the bring-manufacturing-home movement. The bigger story is the campus itself, which builds Apple’s AI servers and will add the first US-assembled Mac mini line later this year. That ties back to the Mac mini shortage that followed the OpenClaw rush, when Tim Cook warned of months-long waits. Cult of Mac was still reporting four-month waits in late July. However, Cook blamed chip supply rather than assembly, so Cochrane is not counting on relief just yet. Amazon EC2 Turns Twenty Amazon EC2 turned twenty this week, which Cochrane admits makes him feel old. The 2006 beta offered one server size in one region for ten cents an hour. Each came with a 1.7 gigahertz Xeon and under two gigabytes of memory, and accounts were capped at twenty servers. Today AWS offers more than 1,200 instance types across 39 regions. Consequently, Cochrane credits the company with turning that tiny product into the backbone of cloud and AI computing. Intel Gamer Days: Two Free Games, With Fine Print Intel Gamer Days runs through September 13. Buy a qualifying Core Ultra Series 2 or 14th Gen desktop chip, a Core Ultra Series 3 laptop, or an Arc graphics card. In return you get Star Wars: Galactic Racer plus the Tomb Raider: Legacy of Atlantis remake. GamesRadar values the pair at about 120 dollars. However, neither game is out yet, and codes must be redeemed by October 31 even though the Tomb Raider remake ships in February. Cochrane calls that awful, but he still tells qualifying buyers to claim the deal early. Note that 13th Gen chips do not qualify. Judge Orders Google to Stop Hiding Rival App Stores A jury found Google’s Android app monopoly illegal in late 2023, and Judge James Donato ordered rival stores into the Play Store in 2024. On August 13, Epic’s lawyer demonstrated that searching Play for “store for apps” returned Walmart instead of any app store. Donato called that “not acceptable” and ordered three fixes within a week. Searches must surface third-party stores, listings need a plain install button, and the “are you looking for” interstitial has to go. Cochrane welcomes the monopoly being chipped away, but he notes that a controlling entity still sits atop every app store. In his view, community hubs like app stores and social media need a public infrastructure layer. He suspects governments skip that investment because companies already run the services, while selling your data. Apple Wants 15 Percent of Purchases Outside Its Store The other half of the Epic saga is Apple’s proposed link-out commission. After the 2021 anti-steering injunction, Apple charged 27 percent on purchases made through external links. A judge held it in contempt last year, and the Ninth Circuit then allowed a fee limited to the cost of running the system. Judge Yvonne Gonzalez Rogers refused to wait for the Supreme Court, writing that “further delay is unwarranted.” Apple filed 15 percent for standard apps, 10 percent for subscription renewals and partner programs, and 5 percent for small businesses. It also conceded the rate would be “essentially zero” under the appeals court’s cost yardstick. Since Apple has charged nothing on link-outs since the contempt ruling, Cochrane sees this as a raise. He calls a cut on purchases made on a developer’s own website disturbing. He also recalls reading about the size of Uber’s payments to Apple, and he questions whether that kind of percentage is sustainable for companies without funding. Meta Says It Has Cut Off 750,000 Australian Kids Meta reported locking out more than 750,000 Facebook and Instagram accounts in Australia by the end of June under the country’s under-16 social media law. Over 500,000 of those were removed before the law even took effect. Detection relies mostly on AI scanning posts and bios for tells like birthday messages, plus user reports and blocks on re-registration. However, the post gives no count of mistaken removals or appeals, and the regulator’s early data shows under-16 usage falling only from about 86 to 81 percent. Meta wants a single age signal at the operating system or app store level, and Cochrane agrees completely. He connects it to the MHS idea from the top of the show: platforms need a standard flag to reference instead of guessing. The White House Deputizes Private Hackers Earlier this month the White House signed a National Security Presidential Memorandum that lets vetted private security firms run surveillance and disruption operations against overseas criminal groups. The Justice Department and Homeland Security hold the contracts and oversee the work. Firms need a proven track record, vetted staff, and a bond of at least $1 million, and must submit operating procedures within 60 days. Cochrane finds the measure aggressive in a good way and hopes it deters attacks on innocents. Still, he takes Kevin Beaumont’s warning seriously that the private security industry profits from ransomware existing. He compares it to the old Head and Shoulders myth: why solve the problem that drives your revenue? A Weather Satellite Watched the Eclipse Shadow Cross Europe Cochrane skips the readout on this one and simply sends listeners to ESA’s site. The MTG-I1 weather satellite captured the Moon’s shadow sweeping across Europe during the August 12 eclipse. Watching a shadow cross an entire continent, he says, was a first for him. Additionally, it leaves him excited about the research happening beyond the planet. Rivers, Deltas, and the Number 0.6 Quanta Magazine explains Hack’s law, which John Hack discovered in 1957 while measuring streams in Virginia and Maryland. A stream’s length tracks its drainage area raised to the power of 0.6, regardless of the rock underneath, and satellite data later confirmed it worldwide. Computer models in the 1990s showed why. Channels that capture extra runoff cut deeper and steal from their neighbors until the network settles into the arrangement that wastes the least energy. Now a University of Texas Rio Grande Valley team has found the same 0.6 exponent in river deltas, which spread water out rather than gathering it. Nobody knows why yet, and Cochrane calls it a really cool read. Sugar Helped Grow the Human Brain, Too A new paper in Science, co-authored by Jennie Brand-Miller at the University of Sydney, adds a third ingredient to the story of early human brain growth. Alongside meat and cooking, natural sugars from ripe fruit and honey may have fueled it too. The brain is about two percent of body weight but burns twenty percent of resting energy. It runs on glucose, which meat and marrow barely supply and raw starch cannot release without fire. The team modeled ancestral diets from a chimp-like baseline through Homo erectus and concluded that the earliest hominins may have drawn over 65 percent of their energy from natural sugars. Cochrane stresses that it is a model, not fossils, and notes that paleoanthropologist Marina Lozano thinks the authors place widespread cooking too early. Still, he loves this kind of deep research. Retracing the steps to our own intelligence, he suggests, could hint at what it takes for intelligent life to develop at all. A Brain Rhythm That Tells Doctors Where to Aim Finally, Science Daily covered a University of Cologne study on deep brain stimulation. That is the implanted-electrode treatment that eases Parkinson’s tremors for some patients but not others. Andreas Horn’s team recorded from 50 patients using both the implanted electrodes and an external magnetic scanner. They identified a circuit between the electrode’s target and the frontal cortex that oscillates at 20 to 35 cycles per second. Stronger coupling there predicted bigger improvement after surgery, though the study, published in Brain, shows correlation rather than cause. First author Bahne Bahners hopes the finding helps tune DBS more precisely, especially for patients who have not responded well. Cochrane half-jokingly asks whether MHS might one day drive those electrodes, and he calls brain disorders the hardest thing in the body to treat. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com with questions or comments, subscribe to the newsletter, and grab a modern podcast app at podcastapps.com. He thanks GoDaddy for over twenty years of keeping the show on the air, promises to catch everyone next Monday, and wishes listeners a great night. The post Eyes, Hands, and a Sense of Timing #1874 appeared first on Geek News Central.

A IA já faz parte da rotina de muitos estudantes, mas usar chats para chegar a uma resposta é muito diferente de saber usar IA de forma crítica e consciente. Como levar essa discussão para a sala de aula sem cair entre a proibição e o uso sem critério?Neste episódio, conversamos com Sofia Ikawa sobre seu projeto de letramento em IA com estudantes do ensino médio integrado ao técnico no IFB. A partir da experiência real em sala, falamos sobre prompts, alucinações, vieses, ferramentas como NotebookLM e, principalmente, sobre como transformar a IA de atalho em ferramenta de aprendizagem.___Nos siga no Twitter e no Instagram: @luizalabs e @cabecadelabDúvidas, cabeçadas ou sugestões? Mande um e-mail para cabecadelab@luizalabs.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ___Participantes:SOFIA IKAWA — Licenciada em Computação pela UnB  LinkedIn: https://www.linkedin.com/in/sofia-ikawa-43b352244/

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Ilmari Käihkö's article entitled, 'Broadening the Perspective on Military Cohesion '. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Abdel Khawatmi left personal injury law for mortgage after experiencing firsthand how poor communication can derail the homebuying experience. Eight years later, he's built a high-producing business around the opposite idea: educate relentlessly, communicate clearly and stay close to the client. In Part 1, Abdel breaks down his “Six Cs of Conversion Tracking” and explains why conversations—not leads, rates or even content—may be the most overlooked part of an originator's business. He also opens up his AI stack, showing how he records and analyzes client conversations, improves scripts and uses tools like ChatGPT, Claude, Fireflies and NotebookLM to become a better originator and partner. This isn't AI for novelty's sake. It's a look inside how one producer is using technology to systematically get better at the human side of mortgage. Related to the episode: ⁠Zeb Lowe's LinkedIn⁠ Abdel Khawatmi's LinkedIn PRMG Got Mortgages Want more from Zeb? Don't forget to subscribe to LendingLife. The Power House podcast brings the biggest names in housing to answer hard-hitting questions about industry trends, operational and growth strategy, and leadership. Join HousingWire's Zeb Lowe every Thursday morning for candid conversations with industry leaders to learn how they're differentiating themselves from the competition. Hosted and produced by the HousingWire Content Studio.

This podcast was created using NotebookLM.This podcast outlines a clinical strategy for assessing the effectiveness of medications in patients with centralized orofacial pain. 

Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:* Subject matter expertise remains essential because AI only works as well as the knowledge and curation you bring to it.* Gemini Notebook (formerly known as NotebookLM) lets you build curated knowledge tools by loading specific, vetted sources and generating audio overviews, video explainers, slide decks, and study guides from them with a few clicks.* Use purpose-built AI tools instead of general LLMs directly, since wrappers like Gemini Notebook and Perplexity are designed to ground answers in sources and reduce hallucinations.* Taste and curation are the real skills, as the quality of your output depends on which sources you select and how you customize the generated content for your specific audience.* This workflow is repeatable and scalable for solo practitioners and teams, enabling one person to produce high-quality, personalized educational content for clients without billing by the hour.__________________________Want your question to be answered on a future show? Fill out this short survey.Have subscription model question? Check out this free resource to ask all of your questions at notebook.practi.ai.Check out Practi.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

What happens when gold, AI and startups collide? Today on The Indian Startup Show, I'm joined by Devansh Alijar for a wide-ranging conversation about AI, investing and building modern businesses. Devansh has helped transform a traditional family jewellery business, and we talk about how he's using AI to make the business more efficient — from operations and hiring to training and decision-making. We also explore how he thinks about investing in startups, gold, and other assets, including what he looks for in founders and the red flags that can quickly put him off an investment. We discuss why founders should be genuine users of their own products, why distribution matters so much, and how building trust can become one of a company's biggest advantages. And, away from business, Devansh shares the story of his incredible 4,000-kilometre cycling journey across India during covid and banana chips startup, which led to being featured on Shark Tank India. We talk about: We talk about: How to modernise a traditional family business Building a digital brand without relying on paid advertising Why founder visibility can create extraordinary customer trust Gold, silver and the way Devansh thinks about investing How to spot promising early-stage founders Why pedigree and name-dropping can be major red flags Using AI for recruitment, HR and employee training How AI can analyse operational and financial data Using AI to improve sales teams and compliance The importance of giving AI the right context Why distribution may matter more than the product Building an audience before launching His plans to turn that journey into a book Why Nepal belongs on every trekker's list and much more  Links https://www.linkedin.com/in/devanshalijar/   Hosted And Produced by Neil Patel https://www.linkedin.com/today/author/neilpatel2 Enjoyed this episode? Don't forget to subscribe and leave us a review! Share this episode with your friends. Listen and Subscribe to More Episodeshttps://www.indianstartupshow.com/ Music by Punch Deck.https://open.spotify.com/artist/7kdduxAVaFnbHJyNxl7FWV

Send us Fan MailAmazon PPC audit with AI turns four Sponsored Ads reports into fast Amazon PPC optimization for ACoS, bids, search terms, budgets, and wasted spend. The Gemini workflow checks data quality, groups keywords, reviews placement and impression share, and flags scale-up or fix-or-kill actions. The process also shows how NotebookLM can organize source-based video knowledge for faster Amazon advertising research and campaign decisions.If 50–100 PPC campaigns are eating hours and hiding wasted spend, get an account-specific plan to tighten bids, budgets, search terms, and ACoS before more ad spend slips away: https://bit.ly/4jMZtxu#AmazonPPC #AmazonAdvertising #AmazonFBA #AmazonSeller #GeminiAIWant free resources? Dowload our Free Amazon guides here:Download the 2026 Amazon AI Operating Manual: https://bit.ly/3SLmusPAmazon Receiving Delay Guide: https://hubs.ly/Q04cdD4c0Amazon Catalog Spring Cleaning: https://hubs.ly/Q046BVfp0Amazon Proft Margin Defense 2026: https://hubs.ly/Q042trRH0Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTAmazon Seller Strategy Report 2026: https://bit.ly/3YN1RME2026 Ecommerce Website & SEO Readiness Checklist: https://hubs.ly/Q04btghf0Amazon 2026 PPC guide: https://bit.ly/4lF0OYXTimestamps00:00 - Four Amazon PPC Reports for AI Analysis00:47 - 30-Day Amazon PPC Audit With Gemini02:02 - Gemini Data Sanity Check for PPC Reports02:45 - Cluster Amazon PPC Search Terms and Keywords04:04 - Scale Bids Using ACoS, ROAS, and Impression Share05:17 - Fix or Kill Wasted Amazon PPC Targets06:14 - PPC Placement, Budget, and 7-Day Action Plan07:31 - Use NotebookLM With YouTube Sources08:27 - Build NotebookLM Mind Maps From Video Content09:30 - NotebookLM for Source-Based Research10:01 - ChatGPT Voice to NotebookLM Workflow-----------------------------------------------------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Your team is not failing because they are lazy, and your AI is not failing because it is “dumb.” The real problem is usually simpler and more painful: unclear expectations. When we delegate without clarity, we force people, virtual assistants, and AI agents to guess. Guessing is an invisible tax that shows up as rework, delays, awkward customer interactions, and the nagging feeling that you are working harder than you should. We walk through a practical workforce clarity framework for moving from chaos to clarity so your business can scale in the digital world. Think backyard fort versus steel building: one is slapped together, the other is built from a blueprint. We talk about documenting your messy reality, pulling apart SOPs and job descriptions, then rebuilding them into an expectation playbook with explicit success metrics. We also explain how to divide work into three clear lanes: strategic human decisions, tasks that can be optimized with AI, and work that is perfect for remote virtual assistant specialists. Then we show how NotebookLM can act like a planning partner when you feed it the right sources: your workflows, catalogs, website content, and even a “confession dump” voice note that captures your vision and constraints. From those inputs, you can generate an implementation plan, clearer delegation briefs, and assets like a slide deck or infographic that keep everyone aligned. If you want better AI output, tighter operations, and a customer experience that stays consistent as change accelerates, hit play. Subscribe, share this with a leader who needs clarity, and leave a review so more teams can stop guessing and start building with a blueprint.Send us Fan MailSupport the show

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Morten G. Ender's article entitled, 'Authorship and affiliation in Armed Forces and Society Volumes 1-25'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

In This Episode: AirPod Cameras, Book Scanning, and Digital Outrage: Tech's Latest Controversies This week the TEH Podcast is hosted by Leo Notenboom, the “Chief Question Answerer” at Ask Leo!, and Gary Rosenzweig, the host and producer of MacMost, and mobile game developer at Clever Media. (You’ll find longer Bios on the Hosts page.) Top Stories 0:00 LN: AI podcasts /  AI voices 1:00 NotebookLM – https://notebook.google.com 4:00 GR: My personal podcast 11:00 GR: AirPods “cameras” https://www.macrumors.com/2026/08/17/camera-equipped-airpods-macos-26-7/ I'm guessing these don't record, and maybe don't even use full color regular light Maybe one frame and low res and no ability to record at all Worried that there will still be some backlash 22:30 Apple vision pro 23:40 GR: Are AI companies really destroying rare books? I have an idea what is happening, and it isn't as bad as it sounds. https://www.aa.com.tr/en/americas/airtag-reveals-amazon-scanning-destroying-books-for-ai-training-report/4030780  https://www.404media.co/we-tracked-a-shipment-of-rare-books-it-ended-at-an-amazon-ai-training-facility/ (paywall) 32:00 Plagiarism issues 36:00 LN: When your cloud storage provider goes under? Judge clears Nine PBS to retrieve 70 years of archival TV data — court rules station owns 50TB of data in Iron Mountain servers after host went under Someone wise once said: “If it's in only one place, it's not backed up.” and “The cloud is only one place.” 43:25 Online backups as archival storage. Drives have raised in price. 46:00 GR: The whole Claude watermarking thing. https://support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content 48:00 Marked by choices of words Ain’t it Cool 55:00 LN: Spiderman Far From Home, and No Way Home (in prep for Homecoming) 57:00 GR: A Walk In the Park by Kevin Fedarko BSP: Blatant Self-Promotion 59:00 LN: Tips, Tricks, and Best Practices for Sharing Links – askleo.com/195019  59:50 GR: Why Is My Mac Menu Bar Missing? Transcript teh_274 Video https://youtu.be/7FC4AihiTc0

What if the stories that have captivated humanity for thousands of years are actually teaching us how to navigate our own lives?In this special episode of Your World of Creativity, host Mark Stinson tries out a new podcast format: Creative Book Reviews — exploring influential books that have shaped the way creative people think, lead, and make an impact.For this review, Mark turns to one of the most influential books on storytelling: The Power of Myth by Joseph Campbell and Bill Moyers.Even more unique, the book discussion is presented as an audio overview created with NotebookLM, offering listeners both timeless ideas and a firsthand experience of an emerging AI learning tool.In this episode, you'll discover:Why myths continue to shape our thinking in the modern worldJoseph Campbell's groundbreaking concept of The Hero's JourneyHow George Lucas used Campbell's work to build the story architecture of Star WarsWhy the most memorable stories share universal psychological patternsHow myths provide a framework for navigating change, uncertainty, and personal transformationWhy your own career, business, and creative life may be following a hero's journey right nowHow shared cultural stories influence leadership, innovation, and even the future of societyWhat today's AI tools can teach us about learning, research, and communicating complex ideasKey ideas exploredThe Hero's JourneyCampbell's timeless framework reveals that great stories—and great lives—follow recognizable stages:The Call to AdventureLeaving the Ordinary WorldTrials and TransformationReturning with New WisdomThe conversation explores how this pattern appears not only in mythology and literature, but in entrepreneurship, career transitions, creative work, and personal growth.Myth as a Framework for LivingRather than viewing myths as ancient stories disconnected from modern life, Campbell argues they help us:Make sense of uncertaintyFind purpose during difficult seasonsBuild resilienceBetter understand ourselves and our place in the worldStar Wars Through Campbell's LensThe episode examines how George Lucas intentionally built Luke Skywalker's journey around Campbell's research, demonstrating why audiences instinctively connect with stories rooted in universal human experience.Creativity, Storytelling & AIListeners also experience NotebookLM's conversational audio format — an example of how AI can help synthesize ideas, review books, and support lifelong learning while preserving the richness of great source material.Mentioned in this episodeThe Power of Myth — Joseph Campbell & Bill MoyersThe Hero with a Thousand Faces — Joseph CampbellThe Masks of God — Joseph CampbellStar Wars and the influence of Campbell's Hero's JourneyNotebookLM as an AI-powered research and audio learning platformA Note from MarkThis episode complements our interviews with creative professionals from around the world. Alongside conversations with artists, entrepreneurs, designers, musicians, scientists, and innovators, we'll occasionally explore books whose ideas continue to inspire creative thinking across disciplines.I'd love your feedback.Did you enjoy this AI-generated book review format? Should we continue reviewing influential books alongside our guest interviews?Let me know on LinkedIn or through the podcast website.If you enjoyed this episode, please subscribe, rate, and review Your World of Creativity. Every review helps more creative thinkers discover the show.Until next time…Keep reading. Keep learning. Keep asking better questions.And together, we'll keep Unlocking Your World of Creativity.

This podcast was created using NotebookLM.This podcast examines the growing crisis in geriatric oral healthcare, where an aging population with complex dental needs is outpacing the available specialized workforce. 

Hiring feels straightforward until you're staring at a shrinking bank balance, a stressed team, and a job description that quietly grew into three jobs. We tell the story of a COVID-era hit that cut clients and revenue, then exposed a dangerous pattern: good people “stepping up” by absorbing extra tasks that don't match their strengths. That kind of hero mode works for a moment, but it's a fast track to burnout, morale loss, and eventually weaker customer service.Our fix starts with a simple visual: the “exploded diagram.” Instead of treating a role as one solid block, we break it into its true components like email management, data entry, scheduling, research, reporting, planning, client calls, copywriting, social media, and basic AI support. Once you see the parts clearly, you can stop overpaying for an expensive local generalist and start staffing the work the way it actually exists. We also unpack the hard truth about turnover: replacing someone can cost anywhere from 50% to 200% of their annual salary when you factor in recruiting, onboarding, training, and lost productivity. Small businesses can't afford many mis-hires, so reducing risk is the whole game.From there, we talk about building a durable model with remote specialists like virtual assistants in the Philippines and trusted project support abroad, plus AI tools as force multipliers. Gemini Notebook (formerly NotebookLM) becomes part of the system, helping take chunks of work off your team's plate so your highest-value people can focus where they truly excel. If you're trying to protect cash flow, improve operations, and build a team that lasts, this one will give you a practical way to redesign your hiring and delegation strategy. Subscribe, share this with a business owner who's overwhelmed, and leave a review with the task you'd most like to offload.Send us Fan MailSupport the show

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Eyal Ben-Ari, Elisheva Rosman, and Eitan Shamir's article entitled, 'Neither a Conscript Army nor an All-Volunteer Force: Emerging Recruiting Models'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Paul Lipsky has mastered Google AI and uses it to run his Youtube Channel (over 456k subscribers) and his life. In this episode, he shows how to use Gemini, NotebookLM and Google AI Studio in your business, content, and life. Start using Gamma today: https://gamma.app/?utm_source=youtube... Want to get Paul's guide to using Google AI, subscribe to New Era, our weekly newsletter: https://calumjohnsonshowlinks.lovable.app/ Follow Us! https://x.com/calum_johnson9 https://www.instagram.com/calumjohnson1/?hl=en https://www.youtube.com/@PaulJLipsky Timestamps: 00:00 Intro 02:16 Why Google AI gives you an unfair advantage 09:21 How AI can help you escape your 9-5 15:16 The easiest AI business opportunity right now 19:18 [LIVE GOOGLE AI DEMO STARTS] 31:38 The difference between Gemini, ChatGPT and Claude 35:10 Why NotebookLM is a goldmine 44:20 How to learn anything with NotebookLM 52:16 How to use NotebookLM in your business 55:27 What is Google AI Studio? 01:08:32 The perfect prompt for building any app 01:13:57 Do this first if you're new to Google AI

*** HOUSTON WE HAVE A PROBLEM***Estamos al tanto de que los primeros minutos de este episodio presentan un problema de audio. Ya identificamos la causa y estamos trabajando con la plataforma para resolverlo lo antes posible. Agradecemos tu paciencia y te avisaremos en cuanto quede corregido.*** HOUSTON WE HAVE A PROBLEM***¿Sientes que la Inteligencia Artificial avanza tan rápido que te estás quedando atrás? 

Slovenski slavist Matija Murko je s fonografom na Balkanu odkril, da ljudski pevci iste pesmi ne ponavljajo dobesedno, a vseeno vztrajajo, da pojejo natanko to, kar so se naučili. To spoznanje je usmerilo Milmana Parryja k dokazu, da je tudi Homerjeva epika nastala na enak način — sproti, iz naučenih formul, brez enega samega izvirnika. Epizoda sledi tej sledi vse do sodobnih jezikovnih modelov, ki besedila prav tako ne jemljejo iz arhiva, temveč jih tvorijo v trenutku. A razlika je bistvena: guslar je odgovarjal svoji skupnosti, model pa nikomur. Kaj to pomeni za vlogo človeka, ki mora danes presoditi, kaj od tako ustvarjenega besedila sploh drži? Cel članek: beri.kvarkadabra.net Dialog je ustvarjen s pomočjo orodja NotebookLM.

Search is getting outsourced and not to interns. To AI agents. When someone wants a new fridge, they no longer have to measure, browse, and click through a dozen sites. They can snap a photo, ask an agent, and get a clean list of real options that fit. That same shift is already happening across buying decisions, and it changes what it takes for your business to show up.We walk through a live, practical example using Grok to interpret a refrigerator photo and run multiple searches at once. Then we zoom out to what matters for marketing, local SEO, and customer acquisition: AI agents are now “shopping” your website, Google Business Profile, reviews, and social presence before a human ever sees you. If the agent can't understand what you do or why you're a fit, you get skipped and you never make the curated list.To make this concrete, we use a simple metaphor: your business is a refrigerator. When agents open the door, do they find fresh, specific, updated information in your voice, or do they find the same generic leftovers as everyone else? We explain how NotebookLM helps you stock that fridge by pulling together messy inputs like site copy, onboarding docs, FAQs, and reviews, then turning them into clear, trustworthy messaging that both humans and AI can grasp fast, without falling into “AI slop.”If you want to stay visible in an agentic search world, listen through, pick one update you can ship this week, and then subscribe, share the episode with a business owner who needs it, and leave a quick review with your biggest takeaway.Send us Fan MailSupport the show

Not only does NotebookLM have a new name, it's got a new game. Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. Gemini Notebook: 7 New Updates and What They Unlock -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini Notebook Rebrand from NotebookLMSeven Major Gemini Notebook Feature UpdatesCollections for Organizing AI NotebooksAutomatic Google Drive Sync IntegrationExpanded Gemini Notebook Output FormatsAgentic Intelligence and Gemini 3.5 UpgradeSecure Cloud Computing for Each NotebookGrounded Data Responses and Web ResearchHands-On Demo: Real-World Enterprise Use CasesStudio Outputs: Infographics, Mind Maps, QuizzesMulti-Modal Asset Creation in Gemini NotebookKey Differences: NotebookLM vs. Gemini NotebookTimestamps:00:00 Gemini notebook updates released03:12 Gemini notebook new updates08:14 Notebook LM's unique features13:02 Using Gemini notebook prompts14:48 Discussing Gemini notebook features18:01 Enhanced Gemini notebook flexibility23:02 Creating quizzes with Gemini notebook26:30 Limitations of AI-generated responses29:04 Gemini notebook's new capabilities30:51 Episode wrap-up and subscription pitchKeywords: Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Damon Coletta and Peter D. Feaver's article entitled, ' Civilian Monitoring of U.S. Military Operations in the Information Age'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Will Harvey got into real estate the way a lot of people do. He dropped out of college after a double hip surgery ended football, landed on a mortgage desk in 2015, and figured out fast how leverage worked. He bought his first house on a $30,000 salary with his dad as a co-signer, rented out two of the three bedrooms, and house hacked a deal before he knew the word for it.Then came the part nobody puts in the brochure. Three rentals in an expensive market, no money left, and the discovery that owning property is not passive. As Will puts it, the only genuinely passive position in real estate is limited partner, and you pay for it by giving up control.So he kept moving. He left a high-paying W2 to flip houses, rolled the flip profits into syndications, took bonus depreciation against the gains, did a couple of deals as a GP. And somewhere in there he figured out what actually excites him is the finance side of the table, not the operating side.That led to a friends-and-family fund in 2023, an accidental first hard money loan, and eventually a dedicated 506(c) fund built on a specific idea: that hard money underwriting is due for a rebuild from first principles.Will walks through the seven risks he underwrites against, why he thinks most lenders collect the wrong paperwork while skipping the single most predictive input available, and how he uses AI to compress an underwriting file from hours to about ten minutes without giving up the verification step.He also talks about the $70,000 he lost on a deal he already knew he should not have taken, what he looks for in an investor conversation before he will accept a wire, and why the boring end of real estate is the point rather than the compromise.What you will learnWhy Will chose debt over equity, and what that decision has to do with temperament rather than returnsThe first-principles exercise he ran on lending, and the seven risks it producedWhich document lenders over-collect, and which input they skip entirelyHow AI actually sits in his underwriting stack, and where he still verifies by handWhat he screens for in a first conversation with a prospective investorWhy he charges points and has no prepayment penaltyConnect with Will HarveyWebsite: harvey-capital.comEmail: will@harvey-capital.comLinkedIn: search Will Harvey, Harvey CapitalThis week's bookTitan: The Life of John D. Rockefeller, Sr. by Ron ChernowWill also mentioned The Book of Elon, a compilation of Elon Musk's own thinking pulled from interviews. He reads both the same way: printed out, at night, when his mind has slowed down enough to actually absorb it.Chapters00:00 Cold open: the first call with a borrower00:35 Welcome01:40 Who Will Harvey is and what Harvey Capital does02:27 Dropping out, double hip surgery, and the mortgage desk03:43 House hacking the first deal before he knew the term04:44 Nothing about owning rentals is passive05:29 Leaving a high-paid W2 to flip houses06:31 The realization: he is not an operator, he is a finance guy06:58 The 2023 friends-and-family fund07:50 The accidental first hard money loan08:06 Graduating from a 506(b) to a 506(c)10:02 Why debt instead of equity13:13 How he protects capital13:32 Applying SpaceX first principles to lending15:53 The seven risks he underwrites against16:25 Over-documenting what does not matter17:00 The borrower's story as the real underwriting input18:49 A word from Elevista Connect19:52 Screening investors on temperament, not just accreditation20:04 Why the one-year term filters people out21:00 Boring is the whole point23:20 Where the borrowers actually come from23:30 Google ads, and turning them off24:15 The REIA coin flip28:39 How Will uses AI to run the business28:44 Claude Code on the terminal30:40 Recording borrower calls as a data point31:52 Compressing hours of underwriting into ten minutes32:36 Incumbent lenders move like turtles33:01 Why flippers actually buy speed35:09 No prepayment penalties, and the reason why36:23 Lightning round36:52 What drives him37:50 The best advice he ever got38:25 Buffett: price and value are two different things39:40 The decision he would take back40:44 Losing $70,000 on a deal outside the buy box41:32 The return on brain damage41:52 What is on his nightstand41:58 Titan, and The Book of Elon43:33 Ed's NotebookLM workflow for books he never gets to45:55 How Will defines success46:12 Outcomes are a distraction, focus on the process47:50 You only get 18 summers48:56 How to reach Will49:03 harvey-capital.comThis has been the Real Estate Underground. Don't forget to subscribe, it helps us grow.Elevista - Speed as a Service™Elevista Connect is the first AI-powered lead conversion system built for real estate investors.

In this episode, I'm talking about “separation season” — that stretch of late summer when you can slow down just enough to get intentional, sharpen your goals, and put yourself ahead before fall begins. I share how I'm using this time to focus on planning, improving my business systems, and staying consistent with personal goals instead of letting August slip by.A big part of that strategy is AI. I walk through the ways I'm using tools like Claude, ChatGPT, and NotebookLM to support both my professional and personal life — from organizing work, comparing documents, and tracking email to building meal plans, adjusting macros, and staying on top of fitness goals. I also explain how AI has become a true companion in my workflow, not a replacement, and how it can help you stay accountable, efficient, and focused.If you're looking for a way to make the most of the rest of summer and head into fall with more clarity and momentum, this episode is for you.Check out the supplements and workouts that keep me on track all year long here: https://linktr.ee/lauracatina

A tech tip about how Microsoft's new Copilot Notebook stacks up against Google's NotebookLM for business collaboration and file management.Some concise advice on why being copied by your competitors should be viewed as validation rather than a threat.00:00 Tech Tip04:58 Concise Advice11:00 Wrapping Up

“Send me an email” sounds harmless, but it's the moment your prospect decides whether you're worth 30 minutes. We walk through a simple shift that changes that outcome: stop sending walls of text and start sending a clear visual. One well-placed infographic helped us earn a real meeting with decision makers we had never met, because it made the value easy to grasp in seconds.We unpack why visual storytelling works so well for leadership communication, proposals, and sales follow-ups. An image triggers emotion and that emotion fills in missing context fast, helping people feel understood, feel safe about the plan, and picture themselves in a future successful state. That's the real power behind “a picture is worth a thousand words,” and it explains why your brain locks onto visuals before it commits to reading paragraphs.Then we get practical with AI workflow. After the call, we take the transcript and the back-and-forth context, drop it into NotebookLM, and prompt it to clearly outline the path forward. The result is a set of slides and infographic-style assets that support the written follow-up and make it easy for your contact to sell the idea internally to their leadership team. We also share what a weekly live show content engine can look like, including planning, production, pre-promotion, transcript handoff, and turning transcripts into blogs, social posts, newsletters, and short clips.Subscribe for more simple, tactical AI communication ideas, and if this helps, share it with a friend and leave a review so more people can find the show.Send us Fan MailSupport the show

This week, we explore the strange and useful things you can attach to a trailer hitch, from hammocks and cranes to Starlink poles and a toilet seat. We'll also talk about why you shouldn't jack directly on pinch welds, review the Arctic Air Grip Go, visit the world's largest penguin in Cut Bank, Montana, use NotebookLM to interrogate manuals, and explain why a stereo gets reviewed, or doesn't. Kid likes it moist... Hitch Accessories for Vanlife Kaxiwei Hitch Mount Umbrella Holder https://amzn.to/4fpmrvC Viking Solutions SwiveLift Crane https://amzn.to/4yYn7zQ Hitch Mount Vise Plate https://amzn.to/4bIC92w Hitch Mount Hammock https://amzn.to/4wYYYXU EEZ RV Hitch Mount Starlink and Flag Pole https://amzn.to/4beY2q7 Log Sawhorse https://amzn.to/4vSIJec Bumper Dumper https://amzn.to/4fHXOZZ PRODUCT REVIEW Arctic Air Grip Go https://amzn.to/4wl3KPy RESOURCE RECOMMENDATION NotebookLM for Manuals https://notebooklm.google.com/ A PLACE TO VISIT World's Largest Penguin, Cut Bank, Montana https://www.roadsideamerica.com/tip/797 FCC Notice: If you purchase anything from these links, the show will receive a small fee. This will not impact your price in any way.

This week, we discuss Bun's move to Rust, OpenAI hunting for revenue, and Stripe's bid for PayPal. Plus, Coté's Dad wisdom. Watch the YouTube Live Recording of Episode 582 Runner-up Titles Turn off my dog Dad Wisdom Amazon subscription and let it fly Dad box Talking about modernization Skin in the game The ivory tower of “Things Actually Work in the Real World” Business fortnight No SegwaysBanking works everywhere else in the world, not America Rundown Rewriting Bun in Rust OpenAI OpenAI's No. 2 Executive to Step Down in Latest Leadership Shake-up OpenAI's Chief Futurist Is Leaving the Company AI Devices Are Coming. Will Your Favorite Apps Be Along for the Ride? OpenAI Executive Kevin Weil Is Leaving the Company OpenAI power consolidates under co-founder Greg Brockman ahead of prospective IPO Barret Zoph is out at OpenAI again after just five months Apple sues OpenAI, accuses ex-employees of stealing trade secrets OpenAI Appears to Be Missing Its Sales Goals by a Vast Margin Stripe, Advent make $53 billion takeover offer for PayPal, sending stock soaring Relevant to your Interests SpaceX, AI Bubble Fears, and The Age of the Trillion-Dollar, Zero-Profit Company Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence Building a CLI for all of Cloudflare California founder fired for ignoring his company's own return-to-office mandate Samsung chip division's single-year profits beat its past 40 years of profits, combined Did a lottery winner become "the company of the future"? Power company hikes data center bills by 30%, cuts residential electricity costs by 1.3% Where AI Works: Slack is the Conversational Interface for Headless AI Salesforce MCP Servers: AI, Data & Analytics for Tableau & Data 360 in Slack IBM and Red Hat launch Lightwell to defend open-source code from AI attacks Infoblox acquires Kentik, adding network observability to its DNS and DDI platform Apple 'Hide My Email' Vulnerability Reveals Peoples' Real Email Addresses House passes bill to make daylight saving time permanent United Airlines' new upsell: Keeping other travelers out of the middle seat Linux creator Linus Torvalds puts foot down on anti-AI comments 1Password now lets Claude sign in to websites without seeing your passwords 1Password and Anthropic Bring Secure Credential Access to Claude forum, an accountable orchestrator for AI agents Google continues its renaming streak by turning NotebookLM to Gemini Notebook 'Pretty revolting': LG's TV are getting huge backlash from users due to installing software What is a micro-retirement? Inside the latest Gen Z trend You paid me, a long-time Linux user, to use Windows 11 exclusively for a month China delivers a one-two punch to America's AI dominance Can Lenovo's World Cup AI Moment Cement Its Enterprise PC Dominance? AI Coding Tools Deliver Speed but Not Business Value Unless Wrapped in Process: China's Moonshot in Talks on Pre-IPO Funds at $50 Billion Value OpenAI and Hugging Face partner to address security incident during model evaluation AI won't fix your broken culture, but you can fix your broken culture Oracle Is Now Down 28% in a Month. Will the 52-Week Low of $132 Hold or Fold? IBM stock craters 23% after issuing second-quarter earnings warning Sheetz is quitting VMware, migrating 11,000 virtual machines Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal AWS cloud lead Dave Brown heads to Meta - report - DCD Amazon senior cloud executive departs after 18 years Meta Caps Internal AI Token Spending After Costs Approach Billions in 2026 Meta Compute Launch Sends AI Compute Stocks Tumbling Globally Agentic ransomware for automated database extortion Dark-Moon: Autonomous AI pentesting engine Sponsors Signadot: making sure AI-written code actually works. Nonsense Messi Beats Ronaldo in 2026 World Cup Password Breach Data Rankings United Airlines' new upsell: Keeping other travelers out of the middle seat Yes, you can now order DoorDash from the command line House passes bill to make daylight saving time permanent Listener Feedback Biogen hiring Associate Director, Enterprise Architecture in Triangle, NC Tim releases a font for developers whose close-up vision isn't what it used to be The Java Story | Official Trailer | Full Film Coming July 17th Conferences DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD26 25 Free Tickets DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: entogo — Type a keyword. Go anywhere. 28 Years Later, The Bone Temple Matt: Vacation, not micro-retirement Coté: Wolf Hall books.

How AI Aligned Marketing and Sales in Seven Months If you have ever felt like your marketing and sales teams are speaking two different languages, or that your best customer stories are locked away in someone's inbox instead of helping close deals, this episode is for you. Host Adam Turinas sat down with Jennifer Lazarz, Director of Marketing at Medical Informatics Corp, the company behind the SickBay Clinical Platform. In just seven months, Jennifer's team went from siloed content and frustrated salespeople to a three-pronged AI infrastructure that has fundamentally changed how marketing and sales work together. We get into the details of how she trained her team on generative AI tools, how she built consolidated document libraries in NotebookLM so salespeople stop chasing down information, and how she put FDA compliance guardrails in place so that everything the AI generates stays within the lines. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows

As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows

A wall of text doesn't make you sound smart, it makes people stop listening. We're obsessed with one question: how do you explain a complex topic so clearly that your team, customers, or board can repeat it back and act on it?We walk through our “tiptoe framework,” a visual storytelling method that starts with an infographic (the beach), moves into a simple slide deck (step-by-step visuals), and only then delivers the detailed leave-behind PDF for the people who want to go deeper. Along the way, we show how NotebookLM can turn messy inputs like notes, links, and documents into organized insights that follow the rules of story, so your message lands fast instead of feeling like noise.To make it real, we demo the approach using stablecoins and explain them in plain English: why they exist, how a stablecoin aims to hold a roughly one US dollar value, what “backed by reserves” means, and why stability matters for everyday payments and instant cross-border transfers. We even share a favorite prompt for teaching complex ideas with structure and style: explain it like an eighth grader in seven steps in the style of a graphic novel.We close with a practical content system for busy leaders: capture natural conversations, harvest the “golden nuggets,” and publish clear assets that build thought leadership without endless prep. If you found this useful, subscribe, share it with a leader who needs sharper communication, and leave a quick review. What's the hardest topic you've been asked to “make make sense”?Send us Fan MailSupport the show

This week, Dr. Grace Yum welcomes Dr. Tesa Jolly, dentist, practice owner, and MDIB Regional Leader, to share practical ways AI can improve efficiency in the dental practice. From streamlining workflows and enhancing decision-making to training teams and saving time, Dr. Jolly offers real-world examples dentists can start applying today.  Episode highlights: Why dentists are naturally equipped to use AI effectively Simple ways AI can improve daily practice workflows and decision-making How tools like ChatGPT and NotebookLM can save time and boost productivity Common mistakes dentists make when adopting AI Using AI to create more time for what matters most Ready to thrive as a dentist and a mom? Join a supportive community of like-minded professionals at Mommy Dentists in Business. Whether you're looking to grow your practice, find balance, or connect with others who understand your journey, MDIB is here to help. Visit mommydibs.com to learn more and become a part of this empowering network today!

Watch the YouTube version of this episode HERETired of the billable hour, overlearning, and feeling like your tech stack still owns you? In this episode, Tyson Mutrux sits down with subscription‑based attorney and Practi co‑founder Mathew Kerbis to break down exactly how AI tools like Perplexity, WhisperFlow, Paxton, Gemini, and agentic workflows are reshaping how modern law firms are built and run. You'll hear how Mathew went from insurance defense litigator to “AI‑native” transactional lawyer, why he believes the billable hour is bad for both clients and lawyers, and how subscription models and recurring revenue can unlock more freedom, better margins, and a saner life.They dig into real‑world examples: using AI dictation and desktop agents to draft and format complex contracts, running redlines across multiple tools, replacing parts of traditional case management, and orchestrating systems so that actual legal work keeps happening while Mathew is teaching a CLE or recording a podcast. Tyson and Mathew also wrestle with big‑picture trends, MSOs and private equity in law, BigLaw's addiction to the billable hour, and how bar regulators and ethics rules might respond to the AI wave. If you're a law firm owner wondering how to actually use AI to save time, make more money, and serve clients better (instead of just “playing” with tools), this one is packed with practical insights.What You'll LearnWhy the billable hour breaks incentives and how subscription/flat fees create better results for lawyers and clientsHow Mathew's AI stack (Perplexity, WhisperFlow, Paxton, Gemini, Google Workspace) powers his daily legal workWhat agentic workflows look like in practice for reviewing, redlining, and improving complex contractsHow WhisperFlow lets him talk instead of type across apps and replace traditional dictationWhy he runs his practice on Google Docs, NotebookLM, and AI search instead of case management softwareHow standardized templates plus AI speed up NDAs, MSAs, and other routine documentsThe core business model behind Practi and how it helps firms launch subscription legal servicesWhy solos and small firms may be better positioned than BigLaw in an AI‑driven legal marketHighlights00:00 – Challenging the status quo and taking aim at the billable hour06:10 – Lawyers as “professional students” and the trap of endless overlearning09:01 – Why many women and lawyers of color leave BigLaw to start their own firms12:10 – Perplexity, WhisperFlow, and Paxton as Mathew's core AI tools15:01 – Using WhisperFlow for OS‑level dictation, prompts, and text expansion27:43 – Orchestrating AI tools to clean up, analyze, and redline contracts at scale31:00 – Running a subscription practice on Google Workspace and NotebookLM45:15 – MSOs, private equity, and why Practi is being built as an alternative path49:08 – How subscriptions and recurring revenue unlock growth beyond hourly billing56:59 – Letting AI run recurring tasks so work continues while you're offlineAccess Agentic Browser Redlines Demo HereConnect with Mathew KebrisLinkedIn https://www.linkedin.com/in/kerbisverse/

Doomscrolling vertical videos is just brain rot, right?

This was upside down week in AI news.