Podcasts about prompts

Valentine's Day is meant to feel romantic, but for many couples, it brings pressure, disappointment, or silence. In this episode, we share a simple three-conversation framework to help you design Valentine's Day (or any special holiday) with clarity instead of guessing…before, during, and after the day itself. If you're ready to trade dread and over-functioning for intentional connection, this conversation will show you how to create a Valentine's Day that actually brings you closer._______

Gio sees a lot of racing in the middle of the night on his way in. A caller wondered about Eileen Gu, and Boomer called her insufferable.

A council cost cutting decision has resulted in a local attraction. When the Horowhenua District Council stopped mowing residential berms to save money, it made Levin resident Louise McCarthy very grumpy. She refused to cut the grass herself and declined neighbours offers to trim it too, until she decided to transform the berm into an urban meadow full of wildflowers. Louise McCarthy spoke to Lisa Owen.

In dieser AOM-Shorts-Folge sprechen Florian Vette und Ole Schleth über eine mögliche Machtverschiebung im niederländischen E-Commerce. Amazon investiert 1,4 Milliarden Euro und überholt erstmals bol.com bei den Markensuchen auf Google in der Niederlande. Beginn einer echten Marktverschiebung? Und warum entsteht gerade jetzt ein strategisches Zeitfenster für Marken? Dann ein regulatorisches Update: Amazon führt eine neue Agent Policy für KI- und Automatisierungssysteme ein. - Was bedeutet das für Repricing-Tools und komplexe Tech-Stacks? - Wie stark greift Amazon künftig in Automatisierungen ein? Außerdem: Amazon überholt Walmart als umsatzstärkstes Unternehmen der Welt aber was sagt diese Zahl wirklich aus? Und der Blick nach vorn: - Warum Internationalisierung 2026 kein „Nice-to-have“ mehr ist - Frequently Returned Badge als Conversion-Killer 2.0 - Neue Custom Analytics in der Vendor Central - Rufus Sponsored Prompts: Noch kostenlos, aber wie lange?

In dieser Folge zeigt dir Dieter Menyhart sieben konkrete KI-Prompts, mit denen Verkaufsteams in der Schweiz jede Woche bis zu zehn Stunden Zeit sparen. Keine Theorie, kein KI-Bullshit – sondern praxiserprobte Prompts aus echten B2B-Verkaufsteams. Du erfährst: Wie deine Verkäufer die Vorbereitung von 30 auf 5 Minuten senken Wie E-Mails, Einwandbehandlung und CRM-Dokumentation massiv schneller gehen Was dir das pro Verkäufer in Franken bringt – schwarz auf weiss Wenn du Verantwortung für ein Verkaufsteam trägst und mehr Termine, bessere Vorbereitung und höhere Abschlussquoten willst, ist diese Folge Pflicht.

This episode is a full “build a business in 40 minutes” demo showing how AI collapses what used to take teams (creative production + sales ops + support) into a handful of prompts. Samruddhi generates a high-production video ad in Google AI Studio using a JSON-style prompt framework, then spins up a working voice sales/support agent in Vapi via Claude Desktop + MCP—so the agent is created from a single prompt instead of clicking through the UI. The conversation also covers why “interfaces matter less” in an agent-first world, why workflow tools (like n8n) still have a role, and how memory layers like Mem0 unify context across channels (email/WhatsApp/etc.) so you can take actions without hunting.Timestamps0:00 — “Single person billion-dollar company” belief + AI driving 10x execution speed1:57 — Plan: create the ad in Google AI Studio (Veo 3.1) + build a voice agent using Vapi MCP via Claude Desktop2:42 — Smithery: marketplace for MCP servers3:39 — MCP for non-technical listeners: “like an API, but agents use it to talk to external services”4:22 — Inside Vapi MCP: tool list = APIs the agent can choose from5:06 — AI Studio setup: video generation playground + select Veo 3.16:16 — JSON prompting framework begins (structure → production-level output)6:28 — Keys: description, style, camera, lighting, environment, elements, motion, ending, text9:05 — Prompts/scripts can be AI-generated (humans provide guardrails)10:41 — Need an API key to generate videos in AI Studio10:54 — Ad review: strong realism; last segment looks AI-ish → iterate prompt13:05 — Install Vapi MCP via npx from Smithery + add Vapi API key13:46 — Claude Desktop: Vapi MCP appears under Connectors/Tools (not Claude web)14:05 — Prompt the agent build: “Fresh Pause” + role, tasks, FAQs, call flows18:23 — Testing: “Talk to assistant” starts a live call simulation19:20 — Deployment: assign a phone number; Vapi provides free/test numbers (up to a limit)21:57 — Mem0 / Supermemory: memory layer across apps/agents to keep context24:13 — Why memory layers help: fewer MCPs → less slowdown/hallucination; no need to specify where to search26:36 — MCPs + slide decks: mention of Gamma MCP via Claude27:34 — Future of n8n/Zapier: they persist, but prompting increasingly generates workflows31:38 — Prediction market trading algos (Kalshi/Polymarket) + AI improves speed/decision-making36:02 — Closing vision: help orgs 10x execution speed, especially non-technical leaders (40+) with domain expertiseTools & technologies mentionedGoogle AI Studio (Video Generation Playground) — Generate an 8-second video ad.Veo 3.1 — Google video model used for “production-level” output.JSON Prompting Framework — Structured key/value prompts for story, visuals, camera, lighting, motion, ending frame.Claude Desktop — Runs connectors/tools (including MCP servers).MCP (Model Context Protocol) — Lets agents call external services/tools based on intent.Smithery — Directory/marketplace for MCP servers.Vapi — Voice agent platform; create agents + assign phone numbers.Vapi MCP Server — Enables Claude to operate Vapi via prompts (create/list/configure).npx — Installs MCP server quickly from the terminal.API Keys — Required for AI Studio generation + Vapi authentication.Mem0 / Supermemory — Cross-channel memory layer to retrieve context automatically.Knowledge Graph — Underlying structure for semantic retrieval across interactions.Glean — Referenced as a comparison point for search/context retrieval.Gamma MCP — Example of generating slide decks via MCP.n8n / Zapier — Workflow automation tools discussed in an MCP-first future.OpenClaw — Mentioned as agent tooling that can help with steps like obtaining API keys.Kalshi / Polymarket — Prediction markets referenced in the trading/AI speed discussion.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

AP's Lisa Dwyer reports that objections to Trump's policies on enforcement have caused a wave of prosecutorial resignations in several states, particularly Minnesota.

Remote Work ist mehr als Laptop am Strand.  In dieser Solo-Folge spricht Ann-Katrin über das Konzept vom “geliehenen Leben”, ihre ambivalente Liebe zu Kapstadt, Verantwortung als Unternehmerin und warum gute Absichten nicht automatisch etwas verändern. Außerdem: ein brisanter Musiklizenz-Streit in der Creator Economy und ein neues Baby got Business Projekt.  Worüber gesprochen wird: *Warum fühlt sich Kapstadt mehr nach Zuhause an als jeder andere Ort? *Ist Remote Work wirklich Freiheit – oder nur ein Perspektivwechsel? *Reichen gute Absichten, um wirklich etwas zu verändern? *Wie viel Verantwortung tragen wir als Creator im Ausland? *Was passiert gerade zwischen Christian Wolf und Sony Music? Timecodes: 00:00:00 - 00:03:42 Intro & KI-Crashkurs 00:03:43 - 00:15:05 Remote-Work-Kultur 00:15:06 - 00:21:03 Kapstadt zwischen Zuhause-Gefühl & Realität 00:21:04 - 00:29:13 Engagement vor Ort: Verantwortung & NGO-Arbeit 00:29:14 - 00:35:39 Creator-Drama, Secret Project & Ausblick Werbung: Hier⁠⁠⁠⁠⁠⁠⁠⁠⁠ findet ihr alle aktuellen Supporter unseres Podcasts & aktuelle Rabattcodes. In unserem KI Crash Kurs für Social Media lernst du, KI strategisch und praxisnah für Content einzusetzen – inklusive Tools, Prompts und Workflows für Bild, Video und Text. Jetzt anmelden!  In der Folge erwähnt: Hands And Feet NPC Hier findest du mehr über uns:  Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠TikTok⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Impressum⁠⁠⁠⁠ YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

Gio recalls being an ‘a-hole' on a sixth-grade trip to DC. C-Lo has more from Aaron Judge, Brian Cashman sparking a debate between Evan Roberts and Morash that required McMonigle to weigh in. Dan Hurley is unhappy with empty seats at UConn, Wendy's claims a rebuilding year, and the final Long Island Hooters closes. Finally, the guys discuss Stephen A. Smith's presidential interests, a potential Kevin Burkhardt run, and Al's theory on why Hooters fails locally.

Summary In this conversation, Ali Damron and Kylie Larson explore the intersection of artificial intelligence and health and fitness. They discuss the benefits of AI in nutrition tracking and meal planning, while also addressing its limitations in personal health assessments. The conversation emphasizes the importance of human insight in navigating health decisions, particularly when it comes to mental health and hormonal issues. They reflect on the balance between leveraging technology and maintaining cognitive engagement in health practices. Takeaways AI is widely used for nutrition tracking and meal planning. The effectiveness of AI depends on the quality of prompts given. AI can exhibit biases in its responses, often aligning with user preferences. Human input is crucial for interpreting AI-generated health advice. AI can provide information, but action is necessary for results. Understanding personal health requires more than just data; context matters. Mental health and hormonal issues often intertwine, complicating diagnoses. AI can help organize thoughts but shouldn't replace human creativity. Cognitive engagement is essential for maintaining mental acuity. Health decisions should consider both physical and mental health factors. Sound bites "Prompts are everything with AI." "AI can be biased in its responses." "Are we outsourcing our thinking?" Chapters 00:00 Introduction to AI in Health and Fitness 02:57 AI's Role in Nutrition and Meal Planning 05:57 The Limitations of AI in Personal Health 09:06 Understanding the Human Element in Health Decisions 11:54 Navigating Mental Health and Hormonal Issues   Kylie's Instagram: https://www.instagram.com/thekylielarson/ Ali's Resources:  Consults with Ali  BIOptimizers Magnesium Breakthrough 10% off using code ALIDAMRON10 www.alidamron.com/magnesium Master Your Perimenopause Course + Toolkit "Am I in Perimenopause?" Checklist.  What Hormone is Imbalanced? Quiz! Fullscript (Get 10% off all supplements) "How To Balance Your Hormones For Better Sleep, Mood, Periods and Energy" Free, On Demand Training Website  Ali's Instagram Ali's Facebook Group: Holistic Health with Ali Damron 

I deleted every AI product I'd ever bought. 127 prompts, three courses, a dozen template bundles. All of it, gone. And I haven't missed any of it for a single second.In this episode, I'm pulling apart the assumption that every AI product on the market shares: that you need better prompts, better techniques, or better tools. I'll explain the three specific reasons this "better inputs" approach is a dead end, share what I discovered actually works after spending over $2,000 on products that didn't, and challenge you to do a digital graveyard audit of your own downloads folder.If you've ever bought a prompt library and used it exactly twice before it started collecting digital dust, this one's for you.Plus, a beta update on The AI Content Club: 8 founding member spots remaining.Key Takeaways1. Every AI product shares the same flawed assumption. Prompt libraries, courses, and templates all assume you need better inputs. The real problem is that AI has zero information about who you are.2. A better prompt is just a clearer request to a stranger. No amount of prompting skill compensates for missing context. The stranger still doesn't know your voice, your audience, or your beliefs.3. Prompt libraries teach width, Foundation Documents build depth. 10,000 prompts give you 10,000 ways to get the same mediocre result. Five Foundation Documents give AI everything it needs to write like you.4. Products get consumed. Systems compound. Prompt libraries, courses, and templates are consumable purchases you'll replace. Foundation Documents are assets that increase in value over time.5. The question that changes everything. What if you stopped buying products that assume you're the problem and tried something that actually solves the problem?Quotables From This Episode"I deleted 127 prompts and don't miss any of them. Not even a little.""A better prompt is just a clearer request to a stranger. The stranger still doesn't know you.""Prompt libraries teach width. Foundation Documents build depth.""Products get consumed. Systems compound.""What makes your content remarkable lives inside your head, not inside a prompt template."Resources MentionedJoin The AI Content Club (Beta, 8 spots): https://bossladybloggers.com/ai-content-clubThe AI Content Club: What $97/Month Gets YouWhen You Join→ 5 Custom Foundation Documents ($500 value)→ AI Business Partner Setup ($200 value)→ 90-Day Content Calendar ($150 value)Every Month→ 4 Blog Posts in YOUR voice ($600 value)→ 30 Social Captions ($300 value)→ Email Sequence ($400 value)→ Lead Magnet ($100 value)→ Weekly Office Hours + Prompt Lab ($300 value)Beta Member Bonuses→ Custom Offer Suite Blueprint ($500)→ SEO Keyword Strategy Map ($300)→ Email List Accelerator Kit ($200)→ 30 Branded Pinterest Pin Templates ($150)→ Content Repurposing Playbook ($100)8 founding member spots. $97/month locked in for life.https://bossladybloggers.com/ai-content-clubTakeaways: The experience of deleting unused AI products was both liberating and...

Guest: Patrick K. O'Donnell. A failed Union raid on Richmond carrying orders to kill Jefferson Davis prompts the Confederacy to escalate irregular warfare and political influence operations. As the Confederate Secret Service aids the Copperhead movement, author Herman Melville embeds with Union cavalry to witness the hunt for the elusive John Mosby1880 GAR PICNIC MN

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM  This episode tracks how Manbhawan Prasad and the Word team are evolving Copilot from simple prompt-based help to goal-based “agent mode” that can plan and edit documents directly. You will hear practical, enterprise-focused examples: using SharePoint knowledge as authoritative context, reducing blank-page inertia, mirroring customer language from emails and meeting transcripts, and using AI as an always-on reviewer for structure, clarity, and accuracy. 

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

Diese Podcast Folge ist ein echtes Geschenk für alle, die Personas nicht nur „machen“, sondern wirklich nutzen wollen. Mario Jung (OMT GmbH) spricht mit Stefan Rippler (Persona Institut GmbH), der sehr klar zeigt, warum viele Unternehmen beim Thema Zielgruppenarbeit auf halbem Weg stehen bleiben – und wie datenbasierte Personas endlich das liefern, was Marketing wirklich braucht: Relevanz, Präzision und echte Kundennähe. Warum klassische Zielgruppen scheitern Stefan bringt es direkt auf den Punkt: „Wir sprechen immer so viel über Zielgruppen, aber so wenig über Menschen.“ Demografische Cluster wie „Frauen 25–34“ reichen nicht aus. Sie sagen nichts über Werte, Motive, Mediennutzung oder Entscheidungslogiken aus. Genau hier setzen datenbasierte Personas an: Sie verbinden quantitative Daten (Repräsentativität, Verhalten, Nutzung) mit qualitativen Insights (Emotionen, Ziele, Pain Points). Stefan und sein Team haben die DIN SPEC 33462 entwickelt – die erste Blaupause für datenbasierte Personas. Ziel: Vergleichbarkeit, Transparenz und Vertrauen schaffen. „Es gab keine einheitliche Definition, keine Vorgehensweise, keine Reproduzierbarkeit.“ KI ist ein starkes Werkzeug, aber sie ersetzt keine echten Daten. Stefan beschreibt sehr deutlich, dass generative Modelle ohne valide Datengrundlage nur Wahrscheinlichkeiten aneinanderreihen. Das führt dazu, dass selbst identische Prompts völlig unterschiedliche Personas erzeugen können – ein klarer Hinweis darauf, dass KI ohne belastbare Datenbasis schnell ins Fantastische abrutscht. Trotzdem hat KI einen festen Platz im Persona Prozess. Sie unterstützt bei der Mustererkennung, hilft bei der Simulation von Personas in Form von Chatbots oder digitalen Zwillingen und übersetzt Zielgruppenmerkmale in konkrete Targeting Optionen für Plattformen wie Meta oder Google. Doch all diese Funktionen bleiben oberflächlich, wenn die zugrunde liegenden Daten nicht stimmen. KI verstärkt, was vorhanden ist – und wenn das wenig oder falsch ist, verstärkt sie auch das. Wie gute Personas entstehen, beschreibt Stefan als klar strukturierten Weg. Am Anfang steht immer ein Datenaudit: Welche Daten liegen vor und wie gut sind sie? Darauf folgt die quantitative Basis, die Repräsentativität, Verhalten und Nutzungsmuster abbildet. Ergänzt wird sie durch qualitative Tiefe – Interviews, Kontext, Emotionen, Narrative. Anschließend werden Hypothesen gegen die Realität getestet, bevor eine Priorisierung erfolgt. Denn am Ende reichen drei bis fünf Personas aus, um den Großteil des Umsatzes abzudecken.

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

More than half of U.S. adults are now using AI to manage stress, anxiety, or emotional overwhelm. Among people who already use AI for mental health, nearly half say it's the first place they turn when something feels wrong. So the real question isn't whether AI is good or bad. It's this: Can AI actually support mental health in a meaningful way? Or does it accidentally reinforce the very patterns people are trying to heal? In this episode, I unpack where AI genuinely helps, and where it quietly breaks down when it comes to changing your old patterns. We cover: • Why AI feels supportive — and why that can be misleading • The difference between insight and integration • How systems are trained to mirror and validate • The risk of comfort without accountability • Why real emotional safety includes friction • How self-trust erodes when authority gets outsourced • Practical ways to configure AI so it challenges you instead of agreeing with you Timestamps 00:00 — Is AI your best friend or your emotional echo chamber? 04:12 — The data: how many people are already using AI for mental health 07:35 — Why AI feels so validating 11:20 — Insight vs. integration: what most people miss 16:45 — Comfort without responsibility 21:10 — Real emotional safety includes friction 25:40 — Where self-trust quietly erodes 29:30 — How to configure ChatGPT to reduce sycophancy 33:10 — Prompts for deeper self-awareness 38:05 — When AI becomes a red flag instead of a tool 41:20 — Growth requires integration Understanding yourself is powerful. But growth happens when your nervous system learns something new. In real relationships, under real conditions. Insight can start the process. Integration is moving from self-awareness to changing your behaviors. This is what changes your life. If this episode resonated and you're realizing insight isn't the same as change, that's exactly what The Practice is built for. It's a community focused on integration. Building nervous system capacity, relational skill, and real-time repair. Not just understanding your patterns, but interrupting them. You can learn more and join the waitlist at kimpolinder.com Kim's Instagram: https://www.instagram.com/kp_counseling/ Kim's YouTube: https://www.youtube.com/@engineeringlovepodcast

You're not doing everything yourself because you want to. You're doing it because letting go feels risky.You step in before things fall apart. You tell yourself it's faster if you do it yourself. And somehow, you're still the one carrying it all.This episode builds on Part Two of the Beyond Awareness series.Journal Prompts to Help You Stop Doing Everything YourselfName one task at work you're still doing even though someone else could handle it. Why are you really holding onto this? Not the surface reason. The honest one.Imagine you delegated this and it was done differently than you would do it. What do you believe would happen next? What is the worst-case outcome your mind is trying to prevent?If you weren't the one checking, fixing, or holding everything together, who would you be? What would that mean about your value, your role, or how you're seen?What would you need to believe about yourself, your work, or the people around you to let this go? What permission do you need to give yourself?If something came up while you were writing, that's the point. You didn't need a better system. You found the belief running the pattern.Work with me:Breakthrough Intensive - You already know you should slow down, delegate more, stop overcommitting & be emotionally present. So why can't you? That's what we figure out in 90 minutes + integration call 2 weeks later. Book your BreakthroughExhale: Private Coaching - For women ready to do this work until it sticks and you can't revert back. 4 open spots: Work with meConnect with Sam: Instagram | Facebook

Did you know that when you ask ChatGPT for a product recommendation, ChatGPT can recommend 50+ different brands for the same prompt?In this episode, we break down Rand Fishkin's latest research on the extreme variance in AI search results across ChatGPT, Claude, and Google AI Overviews. His team gathered 600 volunteers, ran nearly 3,000 queries, and the findings are eye-opening. Here are some key insights:LLMs can share 50 different companies for each product related prompt. The chance of getting the exact same list of brands twice is less than 1%.The top 6 brands are mentioned over 80% of the time. So what does this mean for marketers trying to track their GEO (Generative Engine Optimization) performance? Most AI visibility tools give you a misleading snapshot — you ran one prompt, you showed up, and you think you're winning. But run it again and you might not show up at all.We walk through Rand's key charts and takeaways, explain why "rank" is meaningless in AI results (unlike SEO), and show how the top brands in any category still get mentioned consistently 70-90%+ of the time. Then we hop into Traqer.ai to show how our topic-based GEO approach — running multiple prompt variations per topic — gives you a far more accurate and responsible picture of your actual AI visibility.If you're doing GEO or reporting on AI visibility to leadership, this is a must-watch.

00:00 - Being Sick in Public11:08 - Dating App Prompts28:03 - Natalie's Many First Dates38:51 - Mild Social Emergency HotlineThis episode is sponsored by:- Blueland: Get 15% off your first order by going to https://www.Blueland.com/outofthepods - Blissy: Wake up with clearer skin, smoother hair, and cooler sleep. Use code OOTP for an extra 30% off at Https://www.Blissy.com/OOTP  - Marley Spoon: Head to https://www.MarleySpoon.com/offer/outofthepods for 45% off your first order and free delivery- DeleteMe: Get 20% off your DeleteMe plan when you go to https://www.JoinDeleteMe.com/OUTOFTHEPODS and use promo code OUTOFTHEPODS at checkout

The FAA has closed airspace at the El Paso airport for 10 days with no explanation. That's how we and our callers get ideas.

Bienvenidos a un nuevo episodio dedicado a la vanguardia de la Inteligencia Artificial Generativa. Hoy desglosamos "El Arte de la Mayéutica Digital", una guía diseñada para profesionales que buscan ir más allá de la automatización simple. Descubre cómo aplicar el método socrático para obligar a la IA a confrontar contradicciones y pulir conceptos complejos antes de su ejecución. Este enfoque no solo mejora los resultados técnicos, sino que nos devuelve el protagonismo cognitivo en un mundo saturado de algoritmos. Contenido destacado: Anatomía del Prompt Maestro: Identidad, restricción, metodología y evaluación. Uso estratégico: Cómo descomponer problemas en capas subyacentes. Visión de futuro: La IA como espejo de la verdad y herramienta de aprendizaje activo. Escucha este análisis profundo sobre la intersección entre la filosofía clásica y los LLM modernos. #InteligenciaArtificial #Tecnologia #PromptSocratico #FormacionIA #SergioRuiz #Cybersecurity

In the world of Generative AI, natural language has become the new executable. Attackers no longer need complex code to breach your systems, sometimes, asking for a "poem" is enough to steal your passwords .In this episode, Eduardo Garcia (Global Head of Cloud Security Architecture at Check Point) joins Ashish to explain the paradigm shift in AI security. He shares his experience building AI-powered fraud detection systems and why traditional security controls fail against intent-based attacks like prompt injection and data poisoning .We dive deep into the reality of Shadow AI, where employees unknowingly train public models with sensitive corporate data , and the sophisticated world of Deepfakes, where attackers can bypass biometric security using AI-generated images unless you're tracking micro-movements of the eye .Guest Socials - ⁠⁠⁠⁠⁠⁠Eduardo's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠(00:00) Introduction(01:55) Who is Eduardo Garcia? (Check Point)(03:00) Defining Security for GenAI: The Focus on Prompts (05:20) Why Natural Language is the New Executable (08:50) Multilingual Attacks: Bypassing Filters with Mandarin (12:00) Shift Left vs. Shift Right: The 70/30 Rule for AI Security (15:30) The "Poem Hack": Stealing Passwords with Creative Prompts (21:00) Shadow AI: The "HR Spreadsheet" Leak Scenario (25:40) Security vs. Compliance in a Blurring World (28:00) The Conflict: "My Budget Doesn't Include Security" (34:00) The 5 V's of AI Data: Volume, Veracity, Velocity (40:00) Deepfakes & Biometrics: Detecting Micro-Movements (43:40) Fun Questions: Soccer, Family, and Honduran Tacos

Ereli Eran is the Founding Engineer at 7AI, where he's focused on building and scaling the company's agentic AI-driven cybersecurity platform — developing autonomous AI agents that triage alerts, investigate threats, enrich security data, and enable end-to-end automated security operations so human teams can focus on higher-value strategic work.Software Engineering in the Age of Coding Agents: Testing, Evals, and Shipping Safely at Scale // MLOps Podcast #361 with Ereli Eran, Founding Engineer at 7AIJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractA conversation on how AI coding agents are changing the way we build and operate production systems. We explore the practical boundaries between agentic and deterministic code, strategies for shared responsibility across models, engineering teams, and customers, and how to evaluate agent performance at scale. Topics include production quality gates, safety and cost tradeoffs, managing long-tail failures, and deployment patterns that let you ship agents with confidence.// BioEreli Eran is a founding engineer at 7AI, where he builds agentic AI systems for security operations and the production infrastructure that powers them. His work spans the full stack - from designing experiment frameworks for LLM-based alert investigation to architecting secure multi-tenant systems with proper authentication boundaries. Previously, he worked in data science and software engineering roles at Stripe, VMware Carbon Black, and was an early employee of Ravelin and Normalyze.// Related LinksWebsite: https://7ai.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Ereli on LinkedIn: /erelieran/Timestamps:[00:00] Language Sensitivity in Reasoning[00:25] Value of Claude Code[01:54] AI in Security Workflows[06:21] Agentic Systems Failures[12:50] Progressive Disclosure in Voice Agents[16:39] LLM vs Classic ML[19:44] Hybrid Approach to Fraud[25:58] Debugging with User Feedback[33:52] Prompts as Code[42:07] LLM Security Workflow[45:10] Shared Memory in Security[49:11] Common Agent Failure Modes[53:34] Wrap up

Was passiert hinter den Kulissen der neuen KI-Monitoring-Tools? Mit welchen konkreten technischen Problemen kämpfen die Anbieter? Das besprechen wir mit David Mühlenweg, Gründer von Finseo. Ein offener Realtalk aus dem Maschinenraum. Themen, die uns im Gespräch bewegen: Woher kommen die Daten, auf denen KI-Monitoring-Tools heute basieren? Wie gehen Tool-Anbieter mit invaliden oder gemischten Modellantworten um? ie lassen sich Prompts sinnvoll ableiten, wenn es keine echten Prompt-Daten gibt? Welche Features werden wir in Zukunft brauchen? All das in unserem Gespräch mit David. 📈 Mehr Charts und Analysen zur Episode 🎓 GEO Academy 👋 Fabian auf LinkedIn 👋 Benjamin auf LinkedIn

If you don't know the right questions to ask the magic genie, the ol adage garbage in garbage out applies. 5 AMAZING prompts to get your business a strong kick in the @ss.   https://dentco.us https://instagram.com/dentcopdr

This is an Audio Edition episode—originally published on YouTube and optimized for audio listening.Spending hours personalizing your resume and STILL not landing interviews? In this video, I share five ChatGPT prompts (plus a bonus prompt!) that will help you craft a better resume than a $500 professional rewrite. You'll see how to use AI tools like ChatGPT to analyze job descriptions, tailor your resume with the right keywords, add measurable outcomes, and condense your experience without losing impact. These proven AI resume prompts will save you time, make your application stand out, and dramatically increase your chances of landing interviews and job offers.

A listener said their life isn't dramatic enough for a story. This episode proves them wrong — with 4 AI prompts you can try today. Every artist has a story. Hopper painted his loneliness. Morandi painted the same bottles for 40 years. Your story doesn't need to be dramatic — it needs to be yours. These 4 prompts use AI to interview you, pull your story out, and save it so every caption, bio, and email already knows who you are. In this episode: Why you can't see your own story (and why that's normal) Real artists with "boring" lives who became legends 4 copy-paste prompts to pull your story out How to save your story as a context file Prompt 1 — The Origin Story Interview: I'm an artist and I need help discovering and articulating my story. I want you to interview me — ask me questions one at a time, wait for my answer, then ask a follow-up that digs deeper. Start with how I got into art. Don't accept surface-level answers — if I say "I've always liked drawing," ask me WHEN and WHERE and WHAT I was drawing and WHY. Keep going until you feel like you have enough material to write a compelling origin story. Then write it for me in first person, in a warm conversational tone — not a formal bio. Something I could read on a podcast or put on my website. Keep it under 300 words. Prompt 2 — The "Why This" Interview: Now I want you to interview me about WHY I create what I create. Ask me about my subject matter, my medium, my style. Dig into why I chose these — was it intentional or did I stumble into it? Is there a personal connection to my subjects? Don't let me get away with "I just like it" — help me find the deeper reason. When you have enough, write a short paragraph (150 words max) I can use when someone asks "Why do you paint/photograph [subject]?" Prompt 3 — The Piece Story: I'm going to describe one specific piece of art I've made. I want you to interview me about it — where I was when I made it, what was happening in my life, what I was feeling, why I chose the composition/colors/subject. Then write me a short story (100-150 words) I could use as the caption or description for this piece. Make it personal and specific — not generic art-speak. Prompt 4 — The Bio Generator: Based on everything we've discussed in this conversation, write my artist bio in three versions: 1. ONE SENTENCE — for social media profiles and quick intros. 2. ONE PARAGRAPH — for show applications, website about page, email signatures. 3. FULL PAGE — for press kits, gallery submissions, and detailed about pages. Use a warm, conversational tone. Avoid art-world jargon. Make it sound like ME, not like a museum placard. Resources mentioned: ChatGPT Projects — save your story as context Claude Projects — save your story as context Know an artist who thinks they don't have a story? Send them this episode. Related episodes: The Artwork Didn't Change. The Story Did. (Jan 2026) Context is Still King. If You Use It. (Jan 2026) Steal These Prompts (May 2025)

Kramer was going to try dating apps again, but he immediately failed.

In this episode, Ricardo explains the difference between Generative AI, AI Agents, and Agentic AI—topics that are widely discussed but often misunderstood. He draws on a clear explanation by Filipa Peleja, presented during the O'Reilly Super Stream on Generative AI. Generative AI, based on large language models, responds to prompts and produces text, ideas, and analysis, but it has no initiative, goals, or independent decision-making. AI Agents, on the other hand, are given a goal and can plan tasks, use tools, interact with systems, and execute actions in sequence, with operational autonomy within defined rules. Finally, Agentic AI involves systems of agents working together, with memory, adaptability, and evolving strategies, raising major challenges around governance, ethics, and accountability. Catch the full episode to learn more!

Florian and Esther discuss the language industry news of the past few weeks, starting with senior hires in revenue and operations at DeepL and what this signals about the LTP's next phase.The duo then turns to new data from AI labs and hyperscalers, where Florian highlights findings from Anthropic's research showing AI is settling into a support role rather than full automation, with usage concentrated around review and validation, and humans remaining firmly in the loop.On the consumer side, Esther points to Microsoft Copilot data showing translation and language learning as one of the most common everyday AI use cases. Florian flags Adobe's new “Translate this PDF” feature, where formatting was the main issue rather than translation accuracy.The conversation then shifts to infrastructure, where Florian emphasizes how NVIDIA is positioning itself at the center of real-time multilingual voice ecosystems by open-sourcing models while driving demand for its hardware.The duo unpacks OpenAI's quiet launch of ChatGPT Translate. Esther notes that reactions have been mixed, with many seeing the interface as basic, while Florian stresses the strategic importance of the move. Then the two disagree on whether or not the AI's default prompt to make the translation sound “more fluent” makes any sense.Esther walks through recent M&A activity and funding rounds, highlighting acquisitions in Europe and the US alongside major raises by Synthesia, Deepgram, and reportedly ElevenLabs.Florian concludes with a look at an S-1 filing by a tiny company, using it as an example of how the US capital markets accommodate everything from billion-dollar AI firms to survival-stage experiments.

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! Descarga gratis los 10 prompts de IA para vender más: https://eticacomercial.com/prompts-de-venta/ A lo largo del mes de enero te he estado dando ejemplos de cómo usar la IA para que te ayude a vender más. Hoy vamos un paso más allá: te cuento 10 prompts que de verdad necesitas usar, que no están en otros episodios, y cómo puedes usarlos en tu día a día. No son para usar tal cual, control C, control V. Son para que te den contexto, ideas nuevas o una visión distinta cuando no sabes muy bien por dónde tirar. PROMPTS PARA GESTIONAR CLIENTES: ✅ Borrador de seguimiento post-reunión ✅ Reactivar cliente que no responde ✅ Analizar propuesta de competencia ✅ Preparar negociación de descuento PROMPTS PARA CERRAR Y DOCUMENTAR: ✅ Crear propuesta rápida ✅ Analizar por qué perdiste una venta (CSI Ventas) ✅ Preparar informe mensual ✅ Detectar señales de compra en emails ✅ Responder objeciones inesperadas ✅ Hacer roleplays para practicar Los tienes todos escritos con instrucciones claras en la guía que puedes descargarte gratis. Descarga la guía completa aquí: https://eticacomercial.com/prompts-de-venta/ Suscríbete a la newsletter semanal: https://eticacomercial.com/newsletterEscucha este episodio completo y accede a todo el contenido exclusivo de El Podcast de las Ventas. Descubre antes que nadie los nuevos episodios, y participa en la comunidad exclusiva de oyentes en https://go.ivoox.com/sq/870099

London Writers' Salon co-founder Matt Trinetti and Head of Writer Experience Lindsey Trout Hughes share prompts from our Dreaming Big in 2026: Creative Goal Setting for Writers workshop – designed to help writers get clear on what they actually want from their writing life in 2026, and translate that desire into a plan that can survive reality in the first 1-3 months of the year.Through 8 steps – from identifying desire to committing to a 48-hour move – Matt and Lindsey step through over a dozen prompts, discuss why each is important for writers to think about, and share what's coming up for them personally for the year ahead.Download the free workbook: community.londonwriterssalon.com/dreamingbigTimestamps:(00:00) Introduction(02:07) Step 0: Two Words (bringing in & leaving behind)(08:05) Step 1: Identifying what we truly desire(17:42) Step 2: Vision (translating desire into clear vision)(25:18) Step 3: Moving from wanting to deciding(34:35) Step 4: Building a project bank(42:02) Step 5: Finding a first season focus(47:32) Step 6: Designing your creative practice(59:00) Step 7: Your 30-day plan & 48-hour move(01:04:50) Step 8: Opening up to support(01:09:40) Conclusions and next steps You'll learn:A simple “two words” ritual to decide what you're bringing into 2026 (and what you're leaving behind).Prompts to identify what you truly desire, including what you might feel embarrassed to say out loud.How to reframe desire as a helpful signal instead of something “selfish” you should downplay.How to build a project bank so you can choose one focus without feeling like you're abandoning your other ideas.Ways to use simple lists to spark clearer project options.How to choose a first-season focus (a three-month container) so you're not trying to hold the entire year at once.The importance of defining what “done” looks like for the season and setting milestones that make progress visible.How to design a writing practice while planning for obstacles before they derail you.How to set a measurable 30-day goal, choose your first moves, and turn intention into proof.   About London Writers' Salon:London Writers' Salon is a community and membership that helps writers make meaningful progress on their work, stay committed to a writing practice, and find creative friends around the world. Members can build consistency through Writers' Hour, develop craft through interviews and workshops, and connect with a global community of writers.  Resources & Links: Download the free workbook at: community.londonwriterssalon.com/dreamingbigJoin Writers' Hour - daily silent writing sessions: writershour.comAttend live events and workshops – Become a Member: community.londonwriterssalon.com/membership For show notes, transcripts and to attend our live podcasts visit: podcast.londonwriterssalon.com.For free writing sessions, join free Writers' Hours: writershour.com.*FOLLOW LONDON WRITERS' SALONTwitter: twitter.com/​​WritersSalonInstagram: instagram.com/londonwriterssalonFacebook: facebook.com/LondonWritersSalonIf you're enjoying this show, please rate and review this show!

Have you ever been interested in the journey of your potential past lives? I'm joined today by author Michelle Belanger to chat all about exploring past lives and her newest work. As a collection of over 250 open-ended prompts to inspire your past life journey, Past Life Prompts is your personal journal for self-directed memory work. M. Belanger lays out how to ethically and truthfully explore your past lives through deep sensory and emotional triggers on your own schedule while avoiding common pitfalls like cryptamnesia and wish fulfillment.Find the book and Michelle:Past Life Prompts: https://amzn.to/4rbltGaWebsite: michellebelanger.comPatreon: patreon.com/haunted Membership: michellebelanger.com/member

Conflict doesn't have to push you apart—it can become the doorway to deeper trust. In this episode, I share a simple five-minute ownership prompt that turns heated arguments into grounded, connecting conversations by restoring regulation, responsibility, and a shared vision. You'll hear real examples of how to spot survival modes, repair quickly, and rebuild safety so conflict actually strengthens your marriage instead of eroding it._______

Grizlly Gang:https://www.patreon.com/c/thefrdishow

Geoff, Gavin and Andrew talk about food challenge, Geoff's image problems, lacation cookies, oxygen levels, Smee, egg sandwich, Tron, Jeff Bridges, Crackerjack, the pool is content, Jimmy's Tux, changing the rules, Charlie hangs around, soundtrack vs film, Steven Seagal, corndogs, art prompts, the hidden object, Skechers, a falcon tea towel, paste, games, Behind the Mirror: Inside the World of Big Brother, Mythfits, and recommendations.Check out the Episode 86 art book: https://indd.adobe.com/view/03b368ed-28d4-41a9-bc81-a57ea5062b5d Sponsored by Factor. Thanks Factor! Go to FACTORMEALS.com/REGULATION50OFF and use code REGULATION50OFF to get 50% off your first box plus Free Breakfast for 1 Year. Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. Also sponsored by Shopify. Sign up for a $1/month trial period at shopify.com/regulation Support us directly at https://www.patreon.com/TheRegulationPod Stay up to date, get exclusive supplemental content, and connect with other Regulation Listeners. Learn more about your ad choices. Visit megaphone.fm/adchoices

This New Moon in Capricorn is the ultimate reset for high-achieving women who want more structure without burnout. In this episode, Audrey breaks down why Capricorn moon energy feels like a full-life realignment—especially when it comes to habits, finances, routines, boundaries, and long-term planning.You'll walk away with a simple way to use this new moon to set intentions, create systems that actually support your life, and stop relying on motivation to carry your goals.In this episode:Why the New Moon in Capricorn hits different (structure + fresh starts)The core question: Are your systems supporting the life you say you want?Capricorn + Saturn energy: discipline, boundaries, responsibility, CEO energy (without the hustle spiral)Where you're “winging it” (money, health, home, career, routines) — and what to do insteadHow to build self-trust through consistency (not punishment)Prompts to map your 3–6 month / 1 year / 5 year vision without overwhelmThe mindset shift: structure over motivation for real change✨✨ RISE Tribe - Next Steps✨✨FREE 7 day Nervous System Reset Group - get daily nervous system reset practices in just 10 min a day, with Audrey as your guide https://www.helloaudreyrose.com/7days Nervous System Reset Training (Free): www.helloaudreyrose.com/reset RISE Sisterhood (private membership for nervous system regulation + spiritual alignment) www.helloaudreyrose.com/sisterhood 

Episode Title: Peaceful Rain to Help Study ConcentrationDescription: In this episode, we dive into the soothing sound of rain and how it can boost your focus while studying. Discover how the gentle rhythm of rainfall creates a calming atmosphere that helps reduce distractions and improve concentration. We also share tips on using rain sounds effectively in your study routine to enhance productivity and maintain a peaceful mindset.Remember to take moments of calm during your busy day — even a few minutes with the sound of peaceful rain can reset your mind and sharpen your focus.Join us next time as we continue exploring simple ways to bring more calm and relaxation into your life.DISCLAIMER

The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on. Follow Omar Khattab on X: https://x.com/lateinteractionFollow Martin Casado on X: https://x.com/martin_casadoCheck out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most Etsy sellers are sitting on a goldmine of data… and have no idea how to use it. In this episode, we break down how Etsy shop owners can upload their order data into ChatGPT and ask the right questions to uncover what's actually driving sales, repeat customers, and higher order values. We're not talking about vague "AI magic." We're talking about specific prompts that reveal: Which products truly make you money (not just get clicks) What customers naturally buy together (hello bundles

It's a five man Haiku segment! Prompts are Anthony Davis, Jaguars press conference, and locker room shenanigans!

It's STRIVECast Wednesday!  On today's episode, we answer a listener questions about friendship and chat and play a fun game answering some silly prompts! The STRIVECast drops a new episode weekly, tune in so you don't miss out on the fun! If you leave us a like, comment, or review,  you could be the next listener of the week! #happylistening #GoSTRIVE

Send us a textIn Episode 234 of Book Talk Etc., Tina & Hannah chat about the Book Talk Etc., reading challenge for 2026 and bring books that meet the challenge prompts.If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyOGX Coconut Oil (T)Antiquitarian Sticker Book (H)Latest ReadEndling | Maria Reva (T)Half His Age | Jenette McCurdy (H)BTE Reading Challenge ReadsStiff | Mary Roach (T)Lady Killers | Tori Telfer (H)October Sky | Homer Hickam (T)Emergency Contact | Lauren Layne, Anthony Ledonne (H)Other LinksBTE Storygraph ChallengeBooks and Lala Buzzword ChallengeRead Harder Book RiotShelf Addition:The Hostess | Courtney Psak (T)This Is Not About Us | Allegra Goodman (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

David Bearman joins the show talking all things Dallas Cowboys, Fred Davis reads and reacts to Quora stories, and Blake Elliott has a Fair or Foul.

The killing of Renee Nicole Good by an ICE agent in Minneapolis last week sparked protests around the nation this weekend. We’ll look at what happened here in Texas.The state of Texas has handed over voter registration rolls to the Trump administration Justice Department. Why Texas Democrats and some experts fear that could have violated […] The post Minneapolis ICE shooting prompts protests in Texas appeared first on KUT & KUTX Studios -- Podcasts.

7 AI Tools you'll need in 2026 (Free Guide, Prompts, Workflows): https://clickhubspot.com/ekv Ep. 389 What are the five AI skills every marketer needs to win in 2026? Kipp and Kieran dive into the top five AI launches and must-have skills transforming marketing in 2026, breaking down what matters amid an overwhelming wave of new technology. Learn more on using Gemini 3 for content remixing and competitive intelligence, mastering next-level image and video creation with cutting-edge models like Nano Banana Pro and Veo 3.1, and the critical importance of automation, agentic workflows, and vibe coding to unlock 10x marketing scale. Mentions Gemini 3 https://gemini.google.com/app Claude Opus 4.5 http://anthropic.com/news/claude-opus-4-5 Nano Banana Pro https://gemini.google/overview/image-generation/ Veo 3.1 https://deepmind.google/models/veo/ Sora 2 https://openart.ai/video/i2v/sora-v2 Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Episode 531 Show Notes: The 5 AI Prompts Every Parent Should Know How to turn your lunch break into a six-figure business blueprint using questions everyone has access to Episode Summary Discover the 5 specific ChatGPT prompts that are helping parents build AI-powered side hustles without sacrificing family time. Host Ace Allan reveals the exact questions that turn lunch breaks into business breakthroughs and shows why the biggest AI goldmine isn't in fancy tools—it's in asking better questions. Key Timestamps & Insights 00:00 - Opening 00:35 - Overview 01:15 - The Paradigm Shift 02:50 - Prompt #1: The Market Detective Prompt: "I'm a parent with [X hours] available per week. Analyze the top 5 problems that [target audience] are actively paying to solve right now. For each problem, tell me: the average price people pay for solutions, how saturated the market is, what skills I need to serve this market, what solutions have they already tried and failed, and rank them by opportunity for a beginner. 04:25 - Prompt #2: The Business Blueprint Prompt: "Create a detailed business plan for a [service/product] targeting [specific audience]. Include startup costs under $500, time commitment of [X hours/week], step-by-step launch sequence, pricing strategy, and first 90-day action plan. Make this realistic for someone with no prior business experience." 05:55 - Prompt #3: The Content Machine Prompt: "Generate 30 days of content ideas for [your business niche]. For each idea, provide: the main topic, 3 key points to cover, a compelling headline, a specific problem it solves for my audience, and format this as a content calendar that I can batch create in one weekend." 07:15 - Prompt #4: The Problem Solver Prompt: "I want to solve [specific problem] for [target market]. Give me 5 different business models I could use, ranging from low effort/low income to high effort/high income. For each model, explain how it works, what I would charge, how to get my first customer, and realistic income potential in months 1, 6, and 12." 08:35 - Prompt #5: The Launch Accelerator Exact Prompt: "Create a 30-day launch plan for [your business idea]. Include daily tasks that take maximum [X hours per day], what to post on social media, how to find my first 10 clients, what tools I need (free options preferred), and how to validate my idea before investing a single dollar. Make this actionable for a busy parent." 10:35 - Why This Matters 11:20 - Whiskered Wisdom Strategies Shared The 5 Core AI Prompts Market Detective - Rapid market research and opportunity identification Business Blueprint - Comprehensive business planning with realistic constraints Content Machine - Systematic content creation and calendar planning Problem Solver - Multiple business model exploration and validation Launch Accelerator - Step-by-step 30-day implementation plan Implementation Framework Use during lunch breaks, naptime, or evening "side hustle mode" Start with constraints: available time, budget, family commitments Focus on problems you already understand as a parent Validate before investing significant time or money Parent-Specific Advantages Parenting experience provides unique market insights Time constraints force efficiency and focus Family-first values align with sustainable business models Existing problem-solving skills transfer to entrepreneurship Episode On Deep AI Deep Research DarkHorseSchooling.com/EP513 Resources Mentioned Primary Resource AI Escape Plan Newsletter - Weekly practical AI strategies for parents. DarkHorseInsider.com ChatGPT Toolkit - Advanced versions of all 5 prompts plus templates Upcoming 50 AI Prompts Collection - Specific side hustle prompts for beginners (joint the newsletter to get 1st access) Tools Referenced ChatGPT - Primary AI tool for all prompts Deep Research Mode - Enhanced research capabilities (separate episode referenced) Any LLM model (Claude, Gemini, Perplexity) - Alternative AI platforms Action Steps to Take Immediate Actions (Tonight) Choose one prompt that resonated most during the episode Open ChatGPT (or preferred AI tool) Customize the prompt for your specific situation, available time, and target audience Hit enter and start the conversation - don't overthink it Ask follow-up questions to refine and improve the output This Week Test the Market Detective prompt with 2-3 different target audiences Run the Business Blueprint prompt for your most promising opportunity Sign up for AI Escape Plan newsletter for ongoing strategies and community Next 30 Days Implement the Launch Accelerator prompt for systematic business development Use Content Machine prompt to plan and batch-create marketing content Apply Problem Solver prompt to validate and refine your business model Join the AI Escape Plan newsletter - your weekly dose of practical, AI-powered strategies designed specifically for parents who refuse to choose between family time and financial freedom. Join here -> DarkHorseInsider.com Sign up now and get the complete "ChatGPT Toolkit" including: Advanced versions of all 5 prompts Exact templates used by successful parent entrepreneurs Early access to the upcoming 50 AI Prompts collection Your roadmap to more money, more freedom, and more of what truly matters starts here.

We often ask God to do what we want, but faith starts with doing what He says. When you trust God as your good Father and follow His prompting, even small steps can unlock something big. If you’ve just made a decision for Christ, please respond HERE: ele.vc/tIepfr Scripture References:John 2, verses 1-11Galatians 1, verse 24Luke 1, verses 37-38See omnystudio.com/listener for privacy information.