Podcasts about everyday ai

OpenAI has released GPT-5.6, but the majority of us will have to wait. ⌚After the Anthropic vs. U.S. Government feud, it now looks like we'll have to wait for frontier models. That wasn't the only big AI news headline that might change your company's AI strategy. Anthropic got the green light to roll out Mythos 5 to a select few, Google reportedly extended its strike team to catch up on coding and more. OpenAI's limited release of GPT-5.6, Mythos starts slow reinstatement, OpenAI gets spicy and more AI news -- 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:OpenAI GPT-5.6 Limited Release ExplainedOpenAI Sol, Terra, Luna Model NamingUS Government Restrictions on AI RolloutsAnthropic Mythos 5 Access and StandoffAnthropic Fable 5 Suspension DetailsGoogle Gemini 3.5 Pro Release DelayedGoogle's AI Coding Mid-Training InitiativeRaiseUS Nonprofit: AI Workforce AdaptationAnthropic Accuses Alibaba of Model DistillationOpenAI & Broadcom Unveil Jalapeno AI ChipKey AI Industry Partnerships & Product LeaksTimestamps:00:00 OpenAI's GPT 5.6 limited release06:14 OpenAI's new model release details09:54 Access suspension and negotiations13:18 Google's AI strategy and delays16:33 Anticipating Gemini 3.5 Pro Release20:40 Accusations of AI model theft24:48 OpenAI and Broadcom chip partnership28:05 OpenAI's recent developments and updates29:56 OpenAI and AI weekly updatesKeywords: GPT-5.6, OpenAI, Anthropic, Mythos 5, Fable 5, Frontier models, Gemini 3.5 Pro, Google, model rollout, limited AI access, AI safety, US government AI regulation, Sol model, Terra model, Luna model, Max reasoning mode, Ultra mode, sub agents, advanced AI benchmarks, coding workflows, cybersecurity, third-party AI analysis, government licensing, AI model guardrails, AI model democratization, model naming scheme, model availability, AI model security, jailbreak resistance, safety filters, general model access, trusted testers, AI export control, national security, Anthropic pullback, supply chain risk, defense department, AI industry competition, talent loss, AI coding, mid training, engineering agents, AI strike team, RaiseUS nonprofit, workforce AI disruption, technology policy, industrial scale distillation, Alibaba, AI model theft, China-US tech tensions, distillation attacks, Jalapeno AI chip, Broadcom, AI inference, custom hardware, data center GPUs, Microsoft, Meta, Elastic compute, AI-powered career navigation, Slack Claude Tag, Canva Grow 2.0, Copilot skills, AI ad creation, AI automation, DigitalOcean plugin, Apple hardware AI, smart glasses, Vision Pro, portfolio tracking AI, Google Finance, home smart speakers, voice AI, GLM 5.2, open source AI, US labor market AI effects, AI job disruption, model leaks, government approval delays.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Talking about prompts and chatbots won't help you talk about AI strategy in 2026. You've gotta know the ins and outs of loops, plans, goals, subagents and more. In this episode of Everyday AI, we're breaking down the agent lingo and how the key terms play out in systems like Codex and Claude Desktop. Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code -- 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:Desktop Agent Vocabulary PrimerAgent Harnesses: Codex vs. Claude CodeDesktop Agent Plans: Features and WorkflowGoal Setting in Codex and Claude DesktopPlan vs. Goal: Key DifferencesAgent Loops: Automation and VerificationSub Agents: Parallel Task ManagementContext Windows and Task DelegationGuardrails, Verification, and Cost ControlTransition from Chatbots to Autonomous AgentsTimestamps:00:00 Shifting focus to AI agents03:28 Accessing the Start Here series09:31 Using plan mode in clawed desktop12:04 Understanding plan vs. goal mode14:25 Setting project goals and planning19:33 Accessing Start Here series22:03 Building effective training loops26:48 Managing sub agents effectively27:30 Setting up sub-agent system30:47 Closing and subscription reminderKeywords: desktop agent, desktop AI agent, agent lingo, agent vocabulary, long running agent, autonomous agent, codex, Claude Code, Claude desktop, AI harness, agentic harness, agentic tools, super app, Microsoft super app, OpenAI codex, long running desktop agents, plan mode, planning phase, agent plan, goal setting, AI goal, agent goals, loop mode, agent loops, scheduled automations, sub agents, agent subagents, context windows, parallel work, context hygiene, verification steps, approval points, skills, automations, API token usage, project threads, co work tab, code tab, work trees, checkpoints, file access, browser automation, human in the loop, token efficiency, agent delegation, AI supervision, knowledge work automation, AI subagent management, desktop agent mental model, computer control, AI project management, AI workload delegation, remote steering, front end chatbot, proactive AI, AI context sharing.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI episode we probably shoulda done a while ago....

Want better AI results? The answer isn't to prompt better. (At least, not anymore.) As AI has changed drastically, so too must your company's strategy and implementation plan. Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide organizations from running like hamsters on the AI treadmill to actually redefining workflows toward agentic automation. How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An Everyday AI chat with Jordan Wilson and Section's Bobby IsaacsonNewsletter: 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:AI Success Metrics in Modern OrganizationsShift from Prompting to Workflow AutomationAdopting Autonomous Agents in EnterprisesImportance of Context Engineering with AITop-Down Leadership for AI TransformationBuilding AI Manifestos vs. AI PoliciesTraining Challenges: Chatbots to Agents EraClosing Skill Gaps: Elite vs. General AI UsersOvercoming Change Management in AI AdoptionFostering Curiosity and Experimentation in AI TeamsTimestamps:00:00 Defining AI success metrics05:19 The shift to context engineering08:16 Leadership setting AI adoption example11:58 CEO commitment to AI integration14:17 Setting clear AI goals19:06 Discussing automation and its challenges20:48 Enterprise AI usage challenges26:00 Leveraging AI for learning27:45 Closing and contact informationKeywords: AI workflow automation, autonomous agents, automating workflows, AI agents, enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI proficiency, AI training, leadership in AI adoption, change management, AI strategy, employee enablement, AI integration, top-down AI approach, organization-wide AI, business process automation, AI-powered briefs, sales automation with AI, agent-based automation, workflow optimization, context sharing, repeatable AI workflows, AI change management strategy, AI use cases, AI in finance, ROI calculator with AI, personalized AI training, skill gap in AI, scaling AI solutions, technology adoption, digital transformation, AI challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI enablement, AI policy vs manifesto, fostering innovation with AI, learning and development AI, AI champions, process innovationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

The most expensive AI mistake of 2026 won't show up on any invoice.

In this episode of the Grow A Small Business Podcast, host Troy Trewin interviews Gulliver Moore shares how he scaled Sunday Treat alongside his co-founder Oliver Clubb from a freelance director/DP partnership into a £2M creative agency serving global brands like Google, Disney, and Revolut. In this episode, Gulliver reveals how consistent 20% year-over-year growth, smart hiring, strong company culture, and high-performing video marketing helped the agency expand to a 14-person team with clients across the US and Europe. He also explains how Sunday Treat is adapting to AI, building viral content strategies, and maintaining creativity while scaling fast. Gulliver shares honest lessons about leadership, delegation, difficult management decisions, and why founders should never delegate hiring. The conversation is packed with insights on business growth, branding, team building, and creating a sustainable agency in today's competitive digital landscape.  Why would you wait any longer to start living the lifestyle you signed up for? Balance your health, wealth, relationships and business growth. And focus your time and energy and make the most of this year. Let's get into it by clicking here. Troy delves into our guest's startup journey, their perception of success, industry reconsideration, and the pivotal stress point during business expansion. They discuss the joys of small business growth, vital entrepreneurial habits, and strategies for team building, encompassing wins, blunders, and invaluable advice. And a snapshot of the final five Grow A Small Business Questions:  What do you think is the hardest thing in growing a small business? Gulliver Moore shared that the hardest part of growing a business is consistently delivering on big promises while maintaining quality and trust with clients. What's your favorite business book that has helped you the most? Gulliver Moore said his favorite business book is Radical Candor because it deeply influenced how he manages people, gives feedback, and builds an honest company culture. He also highly recommended The Making of a Manager for its practical advice on leadership and team management. Are there any great podcasts or online learning resources you'd recommend to help grow a small business? Gulliver Moore recommended podcasts like Hard Fork, The Vergecast, and Today in Focus to stay updated on technology, AI, and current events. He also emphasized learning through experimentation, especially with AI tools, social media content creation, and hands-on business experience rather than relying heavily on formal coaching or consultants. During the conversation, host Troy Trewin additionally recommended Marketing School, Uncensored CMO, and Everyday AI for marketing and business growth insights. What tool or resource would you recommend to grow a small business? Gulliver Moore recommended using Claude AI for brainstorming, strategy, copywriting, and improving workflows with AI. He also highlighted Monday.com as a powerful CRM and project management system for organizing teams and client work, while Figma was his preferred platform for creating visually engaging presentations and creative assets. He emphasized that combining strong systems, consistency, and AI tools can significantly improve productivity and business growth. What advice would you give yourself on day one of starting out in business? Gulliver Moore said he would tell himself to trust the process, stay patient, and focus on consistently hiring great people. He emphasized that long-term success comes from building a strong team culture, trusting your instincts during hiring, and sticking with the journey even when growth feels slow or uncertain. Book a 20-minute Growth Chat with Troy Trewin to see if you qualify for our upcoming course. Don't miss out on this opportunity to take your small business to new heights! Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey.     Quotable quotes from our special Grow A Small Business podcast guest: Hiring the right people is the most important investment you can make in your business — Gulliver Moore You don't need to control everything — great teams do amazing work when you trust them — Gulliver Moore Consistency in your process will eventually create the growth you're looking for — Gulliver Moore       

Did you ACTUALLY MISS OpenAI's big Workspace Agents announcement?

The downside of powerful, autonomous models that can think and act?

Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today's algorithmic world.Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth's test kitchens to Jane Fonda's Jazzercise empire and Disney's computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today's algorithmic world.Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth's test kitchens to Jane Fonda's Jazzercise empire and Disney's computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/gender-studies

Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today's algorithmic world.Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth's test kitchens to Jane Fonda's Jazzercise empire and Disney's computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today's algorithmic world.Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth's test kitchens to Jane Fonda's Jazzercise empire and Disney's computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today's algorithmic world.Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth's test kitchens to Jane Fonda's Jazzercise empire and Disney's computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Should we tax AI robots and only work 4 days?

Has OpenAI ever had a more chaotic week than the past 7ish days?

Everyone's chasing the next big model drop.

Did China steal Anthropic's AI powers? Well, that's the shocking bombshell report that Anthropic just dropped. They accused multiple Chinese AI companies of generating more than 16 million exchanges with their models just to try and copy it. We get what you're thinking….. “So. That means cheaper open Chinese models so we all win, right.” Wrong. On this episode of Everyday AI, we break down Anthropic's shocking AI distillation accusations against Chinese firms, what they actually mean, and how they're more impactful outside of just the AI model you choose to use. You might be shocked TBH at the far-reaching implications. China Stealing AI from the U.S.? Inside Anthropic's Bombshell Allegations — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Anthropic Accuses Chinese AI Labs of DistillationDetails on 16 Million Claude Extraction PromptsDeepSeek, Moonshot, MiniMax Named in Anthropic ReportGoogle and OpenAI Cite Similar China AI ThreatsTechnical Explanation of Model Distillation AttacksMarket Impact: MiniMax Surpasses Anthropic in TokensFinancial Consequences for U.S. AI Model ProvidersPolicy and Geopolitical AI Competition AnalysisLimitations of Current Export Controls and SafeguardsU.S. AI Dominance Threatened by Chinese DistillationTimestamps:00:00 "Foreign AI Impact on Tech"04:43 "AI Distillation and Security Threats"07:11 "MiniMax Scandal: Data Theft Allegations"10:33 "Open Router Key Marketplace"15:54 "Smart, Cheap Models Explained"19:31 "AI, IP Theft, and China's Impact"22:44 Big Tech's Data Theft Problem25:37 "Protecting U.S. Tech from Export"27:53 OpenAI Accuses DeepSeq of Misuse33:58 "AI's Global Power Struggle"35:03 "AI Models: What's Next?"Keywords: China AI theft, Anthropic bombshell report, model distillation, Chinese AI labs, DeepSeek, Moonshot AI, MiniMax, Claude capabilities, 16,000,000 prompts, 24,000 fake accounts, OSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com 

What does faithfulness look like as artificial intelligence becomes a normal part of everyday life? In Part 3 of this series, Mark Vance and Emily Jensen focus on practical wisdom—how Christians can use AI responsibly without outsourcing discernment, formation, or trust to technology.This conversation centers on limits: why AI should remain a tool rather than a guide, how dependence subtly shapes our spiritual habits, and why Christian maturity requires presence, patience, and embodied wisdom in an increasingly automated world.Episode Highlights  00:46 — Framing the conversation: living faithfully as Christians amid rapid technological change 01:53 — Everyday AI usage and how quickly dependence can form 03:14 — The danger of outsourcing thinking, discernment, and wisdom 05:02 — Why AI can assist productivity but cannot shape character 07:18 — Formation happens through presence, not efficiency 09:41 — The spiritual cost of convenience we rarely notice 12:06 — Why Christian growth requires friction, struggle, and patience 14:38 — AI as a tool, not a teacher or authority 17:05 — Discernment as a learned habit, not a technological feature 19:44 — How embodied community resists technological isolation 22:31 — The church's responsibility to form people, not compete with tools 25:06 — Holding a posture of confidence rather than fear 27:26 — Final encouragement: use technology wisely, know its limits, trust ChristResourcesCornerstone Church Sermons: Listen onlineAsk Mark a Question! Suggest a topic or question for Mark to discuss on a future episode of the Equip Podcast!

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techishThis week on Techish, Michael and Abadesi break down the stock market chaos sparked by Anthropic's new AI tool, what it could mean for SaaS pricing and why enterprise software is so hard to kill. They also get into Bitcoin, Sam Altman's meltdown over Claude's Super Bowl ad, layoff transparency (or the lack thereof), the Epstein file fallout, Glorilla and the pressure that comes with money, family, and expectations when you “make it.”Chapters00:22 Anthropic's Claude Wipes Out Software Stocks07:36 Bitcoin and the Power of VC Hype12:49 Sam Altman Panics over Claude's Super Bowl Ad25:34 Pinterest and Corporate Transparency In Layoffs30:18 Epstein Files and Public Interest [Patreon-Only]39:31 Glorilla and the Black Tax  [Patreon-Only]This episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesWhy one Anthropic update wiped billions off software stocks [Fast Company]Sam Altman got exceptionally testy over Claude Super Bowl ads [TechCrunch]Empire of AI by Karen Hao [Penguin]Pinterest sacks engineers for tracking staff job cuts [BBC]Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

What if search becomes.... proactive?

Your company's goldmine? All those meetings and call recordings. It's the fuel that AI needs. But here's the big letdown: those call transcripts only pick up the words. Not what they mean. And the difference? Well…. That can make all the difference. But some new technology might change what's possible. Join us as we talk about it. AI Can Finally Hear What You Actually Mean. What this unlocks — An Everyday AI chat with Jordan Wilson and Modulate's Mike Pappas.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Modulate Velma Voice Native AI Model OverviewTone, Emotion, and Intent in Voice AIDifferentiating Text vs. True Voice UnderstandingReal-World Voice AI Use Cases in Fraud DetectionSynthetic Voice and Deepfake Detection TechniquesEnsemble Listening Model (ELM) Technology ExplainedVoice AI for Customer Service and SupportTrust, Compliance, and Observability in Voice AI AgentsCost and Scalability Challenges for Voice AIFuture Impact of Voice AI on Customer RelationshipsTimestamps:00:00 "Modulate: AI That Understands Tone"06:15 "AI Use Cases Beyond Gaming"07:13 "Detecting Abuse and Fraud"13:19 Dynamic Model Orchestration Innovation16:22 "Context-Aware AI for Conversations"17:44 "Voice AI Transforming Customer Service"22:49 AI Accountability and Compliance Challenges25:36 AI, Customers, and Brand Trust28:05 "Enhancing Communication Through AI"Keywords: Voice AI, voice native AI, voice understanding, tone detection AI, intent detection, emotional AI, prosody analysis, real-time fraud detection, synthetic voice detection, AI guardrails, deepfake detection, customer support AI, call analysis, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today. 

Where you're from doesn't just shape you — it frames how you understand power, loyalty, and loss.Bun B is Houston to the core. Jeffrey Sledge carries New York City wherever he goes. And for Tom Frank, everything starts in State College, Pennsylvania — a town where fall Saturdays felt sacred, Penn State football felt pure, and Happy Valley felt like a place untouched by the rest of the world.Today's guest, Jay Paterno, grew up at the center of that belief system.As a former Penn State assistant coach, trustee, writer, and the son of the late Joe Paterno, Jay lived inside one of the most revered cultures in college sports — and then watched it unravel in public. He speaks openly about legacy, leadership, media narratives, and what it costs to stand inside a storm you can't control. Not from a distance, but from inside his own family.This isn't just a backward-looking conversation. Jay takes the same clear-eyed approach to the modern game — NIL, the transfer portal, revenue sharing, gambling, donor influence — and explains why college athletics is no longer what it pretends to be. His new book -  BLITZED! The All-Out Pressure of College Football's New Era - pulls back the curtain on a system stretched to its limits, where pressure, money, and identity collide every Saturday.This episode isn't about defending the past. It's about context, consequence, and where the game is headed."Unglossy" is produced and distributed by Merrick Studio and hosted by Bun B, Tom Frank and Jeffrey Sledge. Tune in to hear this thought-provoking discussion on Apple Podcasts, Spotify, YouTube, or wherever you catch your podcasts. Follow us on Instagram @UnglossyPod to join the conversation  and check out all our episodes at https://wearemerrickstudios.com/unglossy-pod.Send us a textEveryday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show

Ever wish you could get an AI cheat sheet? Like.... wrap up hundreds of hours of AI insights into a neat lil package spoon fed to ya live? Oh wait! Here it is. To celebrate our 700th Episode of Everyday AI, we're dishing: - 7 Ways AI Is Reshaping How We Work- 10 AI Workflows That Actually Deliver ROI - 10 AI Skills Every Professional Needs in 2026Needless to say, you don't wanna miss this one.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Seven Ways AI Is Reshaping WorkAI-First Operating Systems in WorkplacesFlattening Corporate Hierarchies With AIRedesigning Operations for AI ROIAI Agents Outnumbering Human WorkersAI Meeting Transcription as Data PipelineFirst-Party Company Reasoning With AIKnowledge Workers Shift From Internet to LLMsContext Engineering vs. Prompt EngineeringTen AI Workflows Delivering Business ROITimestamps:00:00 "Modulate's AI Revolutionizes Call Analysis"06:14 "AI Reducing Middle Management"07:01 "Rethinking Middle Management Efficiency"10:51 AI, Meetings, and Work Evolution14:12 "Future Shift: Internet to AI"17:49 "10 AI Workflows Delivering ROI"21:40 "Boosting Efficiency with AI Tools"26:38 "AI Tools for Personalized Research"28:49 "AI Boosts Customer Support Efficiency"31:23 "Reducing Hallucinations in Responses"36:38 "Adaptability and AI Skepticism"37:16 "AI Reliance Risks Skill Atrophy"42:12 "Focus on Practical AI Strategies"44:15 "Context Matters in Language Models"48:48 "Embrace AI Collaboration Now"50:35 "Turning Insights into Actionable Value"Keywords: AI in the workplace, AI workflows, artificial intelligence skills, AI adoption, AI operating systems,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today. 

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techishThis week, Techish host Michael Berhane is joined by Dominic-Madori Davis, a senior reporter at TechCrunch. They break down the details of TikTok star Khaby Lame's $900M deal, why non-developers are making apps instead of buying them,  Topicals and the perks of celebrity angel investments. They also take a look at the AI panic happening among CEOs at Davos and what Apple's really doing with AI. For the Patreon listeners: Sinners' 16 Oscar nominations and award predictions and a deep dive into the latest Brooklyn Beckham drama.This episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesThe rise of ‘micro' apps: non-developers are writing apps instead of buying them [TechCrunch]Cornell Study Reveals Who Drove The 2020 Funding Surge For Black Founders — And Why It Didn't Last [POCIT]We cut contact with our families — what it's really like [The Times]Follow Dom on Instagram (@dominicmadori) and subscribe to her Substack, The Black Cat.Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

Originally released February 25, 2025Tom, Mickey and Jeffrey are back for a new season of Unglossy. In this compelling episode, Pulitzer Prize-winning author Mitchell S. Jackson opens up about his remarkable journey from the tough streets of Portland, Oregon, to becoming a celebrated writer and educator. Mitchell shares intimate stories of balancing street life with academics, the transformative power of writing, and the challenges of teaching during a global pandemic. He reveals how his time in prison and the long, arduous process of writing his debut novel, The Residue Years, shaped his identity and artistic vision. Alongside reflections on winning the Pulitzer and the evolving role of public intellectuals, Mitchell dives into the unexpected intersections of music, NBA fashion, and cultural narratives in his latest book, Fly: The Big Book of Basketball Fashion. Tune in for an inspiring conversation about resilience, authenticity, and the enduring art of storytelling.Unglossy is produced and distributed by Merrick Studio and hosted by Merrick Chief Creative Officer, Tom Frank, hip hop artist and founder of Pendulum Ink, Mickey Factz, and music industry veteran, Jeffrey Sledge. Tune in to hear this thought-provoking discussion on Apple Podcasts, Spotify, YouTube, or wherever you catch your podcasts. Follow us on Instagram @UnglossyPod to join the conversation and support the show at https://unglossypod.buzzsprout.com/Send us a textEveryday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show

Have you ever felt overwhelmed by AI? Like…. There's certain aspects of Artificial intelligence that you barely understand to begin with, yet you're expected to use it AND it's changing every day? I understand where you're coming from. It's literally my only job to use, build with and teach AI every day and that's all I've done now for 3 years, and even I find it hard to keep up. But don't worry. That's where the ‘Start Here Series' comes into play. If one of your focuses is better understanding AI in 2026 or if you're an expert looking to double down, this Start Here Series is for you. In our first volume, we're going back to the basics. Generative AI: How it works and why it matters in 2026 more than ever -- An Everyday AI Chat. with Jordan Wilson.Other Start Here Series EpisodesEp 691: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)(In the future, we'll update with other 'Start Here Series' episodes)Start Here Series Community Sign up: Follow the Start Here Series with free access to our Inner Circle CommunityMore on this Episode: Episode PageJoin the discussion 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:Generative AI Basics and 2026 ImpactExplosive Growth of Large Language ModelsAI Adoption Rates in EnterprisesAI Agents and Operating Systems OverviewHistory and Evolution of Artificial IntelligenceTransformer Architecture and Model BreakthroughsHow Large Language Models WorkModern AI Capabilities: Multimodal ToolsQuantifying ROI for Generative AI InvestmentWorkforce Disruption and Future Job TrendsScaling AI: From Pilot to Enterprise-WideUrgency for AI Upskilling and Competitive AdvantageTimestamps:00:00 "Start Here: AI Guide Series"04:10 "Join Our Free Community"09:17 "AI Operating Systems for Businesses"11:05 "Partner with Everyday AI"13:00 "AI Evolution Over Decades"16:34 "ChatGPT's Transformative Impact"22:17 "Generative AI and Memory Evolution"26:03 "AI Delivers Exponential ROI"29:59 "AI Demand Surges, Hiring Drops"32:15 "AI Transforming CRMs Rapidly"35:01 "AISend 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 

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techishTechish is back for a brand new season! In the first episode of 2026, Michael Berhane and Abadesi Osunsade look back at 2025, unpacking the two tier tech economy, the retreat from DEI and the power of collective action. They also ask what it means when a film like Sinners wins with audiences but not the industry, and for our Patreon listeners, some personal reflections on the past year.Chapters00:34 A Two Tier Tech Economy: Mass Layoffs & Massive Paychecks11:09 DEI Backlash, Target Boycott, And Black Spending Power18:49 Sinners Broke The Box Office: Why Is It Still Being Snubbed?27:11 Personal Reflections On 2025 [Patreon]This episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesAI-washing and the massive layoffs hitting the economy [CNBC]This is what plutocracy looks like [New Statesman]Target's CEO Steps Down As Sales Drop Amid DEI Boycott [POCIT]How Sinners became the most culturally important film of 2025 [The Guardian]Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

Why wasn't 2025 the year of the agents?

Send us a textWe look back at 2025's privacy and security reality: useful AI where data was ready, repeating breach patterns, and infrastructure limits that slowed the hype. We call out backdoors, weak 2FA, and the shift toward passkeys, decentralization, and owning more of our stack.• AI succeeds when data, process and governance are mature• Power, chips and cost constraints limit AI growth• SALT Typhoon shows backdoor risk and patching failures• SMS 2FA remains weak while passkeys gain ground• Data hoarding expands breach blast radius• Streaming consolidation drives algorithm control and piracy's return• Decentralization and self‑hosting rebuild trust with users• 2026 outlook: AI contraction, ML pragmatism, fewer but stronger toolsCheck out our website: the problemlounge.comIf you have episode guest ideas or topics you want us to talk about, please send them our wayGo check out YouTube channel, Privacy Please PodcastIn 2026, would you like to see us do live streams?  Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show

Might internal memos be a thing of the past?When you can just build something as fast as writing a memo about it, why wouldn't you just build the demo? In this episode of Everyday AI, we sit down with Google Cloud's Richard Seroter to break down five simple ways to use AI with Google. No technical background needed.We talk faster research, better learning, building ideas without overthinking, and why “demos over memos” might change how teams work.If you want practical, no-BS ways to actually use AI in your day‑to‑day, this one's worth a listen.5 Practical AI Workflows That Actually Matter -- An Everyday AI Chat with Jordan Wilson and Google's Richard Seroter (Replay)Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Five Practical AI Workflows with GoogleGemini Deep Research for Rapid AnalysisNotebookLM AI-Powered Knowledge ExplorationGemini CLI and Code Assist for DevelopersGoogle Jewels Autonomous Coding AgentsAI Change Management and Workflow AutomationGemini's Contextual Integration with Email and CalendarGemini and Agentic AI Across Google ProductsTimestamps:00:00 "Simple AI Strategies for Workflows"06:14 "Embracing AI-First Thinking"08:49 "Effective Strategies for Deep Research"11:24 "Context Engineering with LLMs"15:32 "Unlocking AI's Business Potential"17:33 Simplifying Complexity with AI21:21 "Everyone's a Builder Now"24:54 "Building AI Tools for Everyone"28:06 "Communicating Intent to AI Agents"30:16 "AI: The Smarter Interface"33:30 "Everyday AI: Wrap-Up & Subscribe"Keywords:Gemini Deep Research, Google AI, generative AI, AI workflows, Google Cloud, NotebookLM, AI strategies, AI transformation, change management, contextualized AI, agentic work, AI-powered research, personalized AI, deep research tools, collaborative AI agents, AI in business, AI for analysis, large language models, AI for everyday business leaders, Gemini CLI, code assist, AI coding agent, Google Jewels, autonomous AI, background AI teammate, context engineering, integrating AI in workflows, AI for HR, marketing AI, AI-powered knowledge management, learning with AI, AI onboarding, student AI tools, spec driven development, 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 

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techishThis week on Techish, Michael and Abadesi talk about how AI and a shaky job market have people working harder than ever this December, They also break down the chaos (and politics) of office Christmas parties, why Google might overtake OpenAI in the AI race, and for Patreon listeners, the pains of building with a co-founder and how to avoid disputes when you're creating with others.Chapters00:29 What Happened To Circling Back In January?09:08 Office Christmas Parties: HR's Worst Nightmare16:22 OpenAI vs Google: Who'll Win the AI Race?26:18 Co-Founder Disputes and the Case for Going Solo [Patreon-Only]This episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesThe ‘forever layoffs' era hits a recession trigger as corporates sack 1.1 million workers through November [Fortune]Behaviour at work Christmas Parties - BBC London [Instagram]OpenAI continues on its ‘code red' warpath with new image generation model [TechCrunch]Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

A Trapped Buyer is somebody moving off emotion instead of wisdom, staring at a chart like it is gonna save them. That is desperation, not Strategy. And understand this, that same spirit been hunting us long before the stock market. Trapped in the hood, trapped in poverty, trapped in jail cells, trapped in mental prisons. A system designed to keep you chasing instead of building. The market only exposes what life already revealed. When you lack discipline, you buy tops. When you lack patience, you sell bottoms. That is not a trading problem, that is a character problem. But once your mind get free, your money follow. Once you get knowledge, the trap break. The market stop being gambling and start being divine order. Numbers become language. Charts become truth. And you realize wealth is not luck, it alignment. That is when you stop being a Trapped buyer and start moving like somebody who understands Power, Purpose, and Ownership.Trapped Buyers | Wallstreet Trapper (Episode 172) Trappin TuesdaysJoin our Exclusive Patreon!!! Creating Financial Empowerment for those who've never had it.

We don't do AI predictions lightly. Everyday AI is trusted by millions each year to help guide them through the muddy AI waters. So in the same way you'd want transparency out of your AI models, we're rolling back the clock on our January 2025 AI predictions we dished with our Roadmap Review. We're busting out the receipts. At the time, these AI predictions seemed nutty. So, did we lead you astray? Or, did we pave the road to paydirt? Let's dive in y'all. 2025 AI Roadmap Rewind: From AI Agent Orchestrators to Deepfakes. The New Tech Order -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:AI Agent Orchestrators as Job TitleAI Agents in Company Hiring TrendsEnterprise Reasoning Data Collection GrowthAI Driving Professional Services Pricing CrisisUniversal Basic Income and AI Job LossOpen Source AI Models Surpassing ProprietaryChinese AI Model Global Market ImpactPerplexity Answers Engine Business PivotFrontier AI API Price DropsVC Funding Surge in Embodied AIAdvancements in AI Video Generation ToolsAI's Disruption of Traditional Internet ModelsSocial Media Deepfake Misinformation SurgeTimestamps:00:00 "2025 AI Predictions Explained"04:02 "2025 AI Predictions Insights"08:49 AI Agents Classified as Employees11:23 "Transformers vs. Reasoning Models"16:15 AI Impact on Consulting Jobs18:51 "AI Impacts Jobs, Spurs UBI"23:12 Open Models Surge in AI27:13 "Perplexity's AI Pivot Journey"29:23 "Embodied AI Sector Growth"31:36 "Embodied AI Transforms Logistics"36:42 "AI-Driven Internet Future"39:16 Deepfake Fraud Crisis Escalates42:25 AI Success Roadmap RevealedKeywords:Agent orchestrators, AI agent orchestration, AI job titles, orchestration engineer, AI agent architect, human-AI collaboration leader, Adobe agent orchestrator, AO, AI agents, digital FTEs, digital full time employees, AI agent hiring, agent compute costs, Agent Force, hiring digital labor, reasoning models, company reasoning data collection, reasoning token consumption, synthetic data generation, private reasoning engines, unstructured data, proprietary data, professional services pricing crisis, law sector AI disruption, consulting AI transformation, accounting 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 

OpenAI is (reportedly) in full panic mode.

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techishThis week on Techish, Michael and Abadesi get into Netflix's takeover bid for Warner Brothers and what it might mean for movies and the media world. They also break down the streaming giant's new Diddy documentary, the messy ethics of prediction markets, and for Patreon listeners a brand new segment: Techish Unfiltered.A heads-up: this episode includes discussion of domestic and sexual violence which may be upsetting for some listeners. Listener discretion is advised.Chapters00:38 Netflix Reaches Deal to Buy Warner Bros. Discovery07:30 50 Cent's Sean "Diddy" Combs Documentary14:02 Prediction Platforms Are Letting Users Bet on Conflict in Real Time24:55 New Patreon-Only Segment: Techish UnfilteredThis episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesExclusive: How Netflix won Hollywood's biggest prize [Reuters]It's a Bidding War: Paramount Attempts Hostile Offer for Warner Bros. [The Hollywood Reporter]New App Lets Users Bet on Deadly Conflicts in Real Time [Futurism]Polymarket Is Struggling With a $59 Million Bet About Itself [Bloomberg, $] Disclaimer: The information provided in this podcast episode represents the personal opinions of the presenters and should not be considered professional financial advice. Neither host nor guests can be held responsible for any direct or incidental loss incurred by applying any of the information. Always do your own research or seek independent financial advice before making any investment decisions.Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

At first, we wondered why Zane Rowe was once again leading us back to Continental Airlines. With notable CFO tenures at VMware and EMC—chapters rich with transformation—surely there were fresh stories to surface.But as Rowe began tracing the logic behind flight profitability, route modeling, and data-rich decision making, the relevance snapped into focus. His Continental experience isn't just a recurring anecdote; it's the lens through which he still interprets complex systems today. That early foundation made this discussion every bit as insightful as our last—especially as he connected those lessons to Workday's AI trajectory and the accelerating pace of strategic decision making.“I spent a lot of time in the airlines in what we called flight profitability,” Rowe tells us. At Continental, he helped build systems to understand which routes truly created value when full planes were still losing money, he tells us. That work, grounded in heavy telemetry and EMC technology, showed him how finance could move from reporting results to reshaping the route portfolio, he tells us.In his first conversation with CFO Thought Leader, Rowe walked through those early chapters—from revenue management at a post-bankruptcy airline to a bold sales pivot at Apple and multiple CFO roles in technology, he tells us. In this second interview, he returns to the same storyline but takes it one step further, drawing a direct line from that profitability model to today's AI-driven world, he tells us.Now, as Workday's CFO, he describes AI as an equalizer that lets small teams run multiple forecasting models and ingest far more variables in cash projections than before, he tells us. He points to “Everyday AI,” a company-wide initiative, and a cross-functional AI leadership group that pushes common tools, responsible use, and regular check-ins on what is changing in the work itself, he tells us.Rowe's finance strategic moment this year is “recognizing the importance of investing more into AI”—organically and inorganically—because peers are not standing still and customers want those capabilities, he tells us. With a total addressable market “in the hundreds of billions of dollars” and revenue “much less than that,” he frames leadership now as deciding where to lean in hardest, he tells us.

Get the free NotebookLM guide: https://clickhubspot.com/wph Episode 87: Can AI know you well enough to create audio content tailored to your interests—without you ever prompting it? Nathan Lands (https://x.com/NathanLands) is joined by Raiza Martin (https://x.com/raizamrtn), one of the creators behind Google's NotebookLM and now co-founder of Huxe, a new startup carving the path toward truly personal AI. Raiza shares her unconventional journey from leading innovation at Google to building Huxe, an app that generates personalized audio (think “AI radio made just for you”) driven by your daily habits and interests—without you having to initiate the conversation. The episode dives into what it means to design AI for real human needs, the balancing act of privacy and helpfulness, and the vision for a future where your AI assistant proactively enhances your everyday life. They also discuss where AI products are succeeding, how creating trust is an overlooked challenge, and why the next breakthrough will be more about fitting seamlessly into our routines than about being “smarter.” Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) From NotebookLM to Huxe (04:29) Finding AI's Killer Use Case (06:33) Users' Unique Huxe Usage Insights (12:24) Proactive AI: A New Approach (16:02) Daily Brief Insights (17:21) VCs Monitoring Funding Opportunities (21:33) ChatGPT's Role in Everyday AI (24:43) App Adoption and Design Insights (29:20) Uniquely Human Skills Matter (31:11) Modern Childhood and Connection (33:27) Understanding Tech Basics for Kids — Mentions: Raiza Martin: https://www.linkedin.com/in/whatsaraiza Huxe: https://www.huxe.com/ NotebookLM: https://notebooklm.google/ ChatGPT Pulse: https://openai.com/index/introducing-chatgpt-pulse/ Factory: https://factory.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

You can't negotiate the necessary. GOD don't cut deals on Discipline, and HE ain't lowering the price of elevation because you tired. If you want Wealth, Freedom, and Ownership, you gotta pay full cost—sacrifice, consistency, and execution on Days when nobody's clapping. This business game is spiritual first: your mindset is the altar, your habits are the offering, and your results are the testimony. Generational wealth ain't something you hope for,... it's something you become worthy of. When you accept that the Necessary is Non-Negotiable, you stop running from the process and start Respecting the Path. Every seed you plant in obedience becomes a harvest your family will inherit. This is covenant work. This is legacy work. And once you embrace the grind GOD aligned for you, you walk like someone who knows their abundance was already written. You Can't Negotiate The Necessary | Wallstreet Trapper (Episode 169) Trappin Tuesdays

Richard Seroter is a Chief Evangelist at Google.

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

Everyone knows AI needs your data to truly work. But, what about your company's reasoning?

Could a model named…. Kimi K2 Thinking wreak havoc on the U.S. AI scene?

Apparently this week was the week of Agentic Browsers?

Blink and you've missed a few dozen Microsoft AI updates. And obviously agentic browser updates in Edge. If you missed Microsoft's Copilot Sessions Fall Update, then you might be stuck scratching your head trying to decipher AI updates like that one street sign that no one understands. Don't worry. We did the homework for you. Join us as we break down Microsoft's most important announcements — yes, including new agentic browser features for Edge — in an easy-to-understand episode.Microsoft's surprise AI updates: 5 categories of new AI tools and features — An Everyday AI chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Microsoft Copilot Fall AI Updates OverviewFive Categories of New AI FeaturesCopilot Groups Collaborative AI Chat FunctionMico Animated Copilot Avatar IntroductionCopilot Memory and Personalization ToolsLong-Term Memory and Forget ControlsCopilot Real Talk Conversational ModeNew Copilot Connectors for Google and MicrosoftProactive Actions for Deep Research SessionsMicrosoft Edge Copilot Agentic Browsing FeaturesHands-Free Voice Browsing and Tab ReasoningCopilot "Hey Copilot" Wake Word IntegrationCopilot Vision On-Screen Content AnalysisCopilot Home: File Opening and SummarizationTimestamps:00:00 Everyday AI for Business Growth04:48 Microsoft's AI Strategy: Following Leaders09:21 Shared AI Sessions Revolutionize Collaboration13:29 Copilot's Work-Focused Utility14:22 Chat Referencing and Context Resumption18:59 Microsoft Copilot Updates Explained23:45 Copilot Settings and AI Actions25:48 Copilot: Auto-Organized Topic Journeys30:00 Hey Copilot: Hands-Free Productivity32:41 Copilot Home: AI-Driven Productivity34:40 Copilot Fall Release ReviewKeywords:Microsoft AI updates, Copilot, Copilot Fall Release, Microsoft Edge, agentic browsing, AI features, Copilot mode, AI tools, Mico, Clippy AI, animated avatar, Copilot groups, group chat AI, collaborative AI chat, persistent long term memory, AI memory features, conversational forget controls, real talk mode, AI personalization, AI context window, connectors, Google integration, OneDrive, Outlook, GmailSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Make NotebookLM your personal expert. Try it at notebooklm.google.com Make NotebookLM your personal expert. Try it at notebooklm.google.com

Uber is paying its drivers as little as $1 to train LLMs.

Breaking: Google just released Gemini Enterprise.

If most companies are using the same AI systems, how can they stand out and get ahead? And as agentic AI becomes table stakes, what do enterprises need to keep in mind to make AI work? And how can we even trust an AI-powered workplace when most people can't even explain the basics of AI? We're learning from the experts. Accenture's Mary Hamilton joins the Everyday AI show to talk about building trust in an autonomous workplace, how we can prepare for the future of work, and four emerging AI trends you can't miss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:AI-Powered Autonomy Shaping Future WorkGenerative AI's Impact on Business TransformationAccenture Technology Vision 2025 OverviewKey Trends: Autonomy and Enterprise AI AdoptionHuman Capability Expansion via AI ToolsTrust, Explainability, and Responsible AI PracticesAgentic AI Models and Productivity ShiftsContinuous Learning Loops in Workplace AIAI-Powered Robotics and Multimodal IntegrationPersonalization and Brand Voice with AI AgentsTimestamps:00:00 "AI's Impact on Business Autonomy"03:33 Accenture's Global Consultancy Overview09:48 Technology as a Game-Changing Partner12:16 Reinventing Responsible Tech Use14:31 Building Trust Through AI Interactions18:17 Building Trust in Enterprise Data23:20 Embracing AI: Active Learning Loop26:24 "Embracing Efficiency with AI Agents"Keywords:AI powered autonomy, generative AI, large language models, future of work, automation, business transformation, Accenture, innovation centers, strategic visioning, co-creation, ecosystem partners, digital core, technology consultancy, technology reinvention, enterprise AI adoption, operational efficiency, Technology Vision 2025, AI trends, human-like capabilities, language barrier, technology acceleration, digital agents, digital transformation, customer interaction, trust in AI, responsible AI, data platform, knowledge graphs, AI-driven robotics, warehouse automation, personalization at scale, brand voice in AI, digital twin, agentic models, observability, traceability, explainability, continuous learning loop, employee upskilling, generative AI productivity, change management, value-driven outcomes, super agents, utility agents, orchestrator agents, AI partner, human agency, AI collaboration, AI model accuracy, enSend 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

Everyone know Google's Nano Banana is bonkers good.

AI is coming for the world's most popular browser.

Make way for the next wave of GenAI..... Agentic AI Browsers. And while we've seen rumors that OpenAI is going all-in on an AI browser, the first big player is already here in Perplexity's Comet Browser. Join us as we break down how Perplexity Comet works, what makes it different, and 5 Business Use-Cases for ROI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn :Thoughts on this? Join the convo on today's LinkedIn stream 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:Rise of Agentic AI Browsers ExplainedPerplexity Comet's Hybrid AI ArchitectureLocal vs. Virtual Browser Agentic WorkflowsPerplexity Comet Key Features and AccessConnecting Google Services with Comet BrowserAgentic AI Browser Live Demo Use CasesMulti-Platform Personalized Business ResearchAutomated Market Research and Competitive AnalysisPerplexity Comet Cross-Tool Workflow AutomationAgentic AI Browsers vs. Traditional AI ChatbotsTimestamps:00:00 Everyday AI for Business Pros04:56 Agentic AI Browsers Revolutionizing Tech07:49 Advancements in AI Computer Agents09:55 Comet: Chromium-Based Browser Essentials14:43 Streamlining Tasks with Perplexity Integration19:01 AI-Powered Google Drive Personalization21:24 Square: Trusted Business Payment Solutions25:53 Preparing Keynote on Agentic AI29:59 Agentic AI: Revolutionizing Web Browsers31:56 "Agentic AI to Revolutionize Workflows"34:46 Streamlined Scheduling and Market AnalysisKeywords:Perplexity Comet, agentic AI browser, agentic AI, AI browser, business use cases, ROI, Perplexity app, hybrid AI, cloud AI, on-device AI, Comet browser, Chromium, browser automation, multi-platform research, deep research modes, AI desktop assistant, iOS assistant, Google Chrome, browser workflows, Chrome extensions, Microsoft Edge, computer using agents, virtual browser, computer vision, connector integration, Gmail integration, Google Drive integration, calendar management, task automation, prompt engineering, personalized research, market research, competitive analysis, social media automation, email management, calendar automation,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 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