Podcasts about genai

Resetting the culture code is essential to unlock Gen AI's value — aligning people, ethics, and collaboration so AI becomes a trusted partner for innovation, not a source of fear or disruption. That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses resetting the culture code for the generative AI era.This article forms the basis for this episode: https://disasteravoidanceexperts.com/resetting-the-culture-code-for-the-generative-ai-era/

For better AI agents, we just need bigger models, right?

What if search becomes.... proactive?

Hundreds of millions just got an AI glow up and didn't even notice.

In this episode of Builders Wanted, we're joined by Ann Rich, Senior Director of Design at Adobe. Kailey and Ann dive into the intricate world of product design where empathy drives innovation. They discuss the challenges and strategies in leading design at scale, how Adobe builds trust in the era of generative AI, and the importance of cross-functional collaboration. Ann shares insights on inclusive design, co-innovation with customers, and the evolving role of designers in creating user-centric and technologically advanced solutions.-------------------Key Takeaways:Successful AI-era design requires deep technical understanding alongside creative craft—designers must know the models and technology behind their interfaces to bridge human needs with AI capabilities.Speed and adaptability are essential as market paradigms can shift between conception and launch, requiring experimentation, customer co-innovation, and iterative validation over traditional research cycles.Design leadership gains influence by grounding decisions in data and user needs rather than aesthetic opinion, transforming design into a strategic driver in executive and engineering conversations.-------------------“ [Design] is really changing from a two-way model of communication and interaction to a three-way or more discussion. That's really thinking about it being a human, the interface they're working on, and then all of the things happening behind the scenes. In order for someone to be successful with what you're designing, designers have to start understanding the technology behind it. Because in order to deliver on the use case, you actually have to understand the technology and it will change the interface.” – Ann Rich-------------------Episode Timestamps:‍*(01:50) - Ann's mission at Adobe as a design leader‍*(08:15) - How trust factors into Adobe's design process‍*(16:53) - Ann's approach to inclusive design‍*(25:08) - What design teams should stop doing‍*(31:12) - A recent project that made a measurable difference for users‍*(39:06) - Ann's advice for designers looking to elevate their voice-------------------Links:Read Ann's Article How to Adapt Your Design Practice for the Age of Generative TechnologyConnect with Ann on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorBuilders Wanted is brought to you by Twilio – the Customer Engagement Platform that helps builders turn real-time data into meaningful customer experiences. More than 320,000 businesses trust Twilio to transform signals into connections—and connections into revenue. Ready to build what's next? Learn more at twilio.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Like 99% of companies are pushing AI.

Take a Network Break! We’ve got Red Alerts for HPE Juniper Session Smart Routers and SolarWinds. In this week’s news, Microsoft debuts its second-generation AI inferencing chip, Mplify rolls out a new Carrier Ethernet certification for supporting AI workloads, and AWS upgrades its network firewall to spot GenAI application traffic and filter Web categories. Google... Read more »

Take a Network Break! We’ve got Red Alerts for HPE Juniper Session Smart Routers and SolarWinds. In this week’s news, Microsoft debuts its second-generation AI inferencing chip, Mplify rolls out a new Carrier Ethernet certification for supporting AI workloads, and AWS upgrades its network firewall to spot GenAI application traffic and filter Web categories. Google... Read more »

Take a Network Break! We’ve got Red Alerts for HPE Juniper Session Smart Routers and SolarWinds. In this week’s news, Microsoft debuts its second-generation AI inferencing chip, Mplify rolls out a new Carrier Ethernet certification for supporting AI workloads, and AWS upgrades its network firewall to spot GenAI application traffic and filter Web categories. Google... Read more »

AWS Morning Brief for the week of February 2nd, with Corey Quinn. Links:AWS Network Firewall now supports GenAI traffic visibility and enforcement with Web category-based filteringMore room to build: serverless services now support payloads up to 1 MBIntroducing pre-warming for Amazon Keyspaces tablesManaging IP address exhaustion for Amazon RDS ProxyStrategies for upgrading Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL from version 13File integrity monitoring with AWS Systems Manager and Amazon Security Lake

After noticing artists spending more than they were getting at agencies, Danny Garcia developed SongTools to let music creators take control of their marketing campaigns via playlisting and ad tools. Though originally delivered primarily to artists themselves, SongTools has expanded to integrate within distribution platforms, producing success for partners like Symphonic where they drove a 70% client retention rate within 30 days. Here, Danny discusses the approach SongTools is taking to educate artists, how their playlisting ecosystem works & why it is important, along with how the platform navigates the influx of Gen AI music.

In 2025, what were university leaders looking to learn about with Gen AI? On today's episode, I'll mention the top 5 requests for my webinars and workshops on Gen AI. 

The Gen AI adoption battle is won by engaging employees through hands-on learning, transparency, and involvement, turning fear into ownership and proving AI's value with real results that drive adoption, trust, and performance. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how one financial firm won the Gen AI adoption battle.This article forms the basis for this episode: https://disasteravoidanceexperts.com/how-one-financial-firm-won-the-gen-ai-adoption-battle/

Send us a textPeaches runs a solo Daily Drop Ops Brief and cuts through another stack of headlines the internet is already misreading. From Army AI platforms and Navy F-35A cross-service testing to Marines flying to Norway on a Patriots jet, Space Force acquisition moves, Coast Guard jet skis, and growing counter-drone authorities, this episode is all about context over outrage. Peaches also explains why some Air Force details stay quiet, why AI in cockpits makes people uneasy, how fraud keeps targeting service members, and why another government shutdown feels inevitable. No hype. No speculation. Just what matters—and what doesn't.⏱️ Timestamps: 00:00 Ones Ready intro and Daily Drop tone 01:40 OTS Alabama plug and pipeline context 03:00 Army Fort Hood case update 03:45 Army CAMO GPT vs GenAI debate 05:00 Navy flying Air Force F-35As at China Lake 06:10 Littoral Combat Ship retention decision 07:30 Marines fly to Norway on Patriots jet 09:20 Air Force Middle East exercise silence 10:30 E-4C airborne command post expansion 12:15 AI cockpit assistance debate 15:30 CENTURY ALOHA exercise overview 16:45 Space Force rapid acquisition tools 18:00 GEO satellite contractor selection 19:10 Coast Guard jet skis for border ops 21:00 Anti-fraud push for service members 22:30 Free TRICARE prescriptions for remote families 23:45 Counter-drone authority expansion 25:00 DoD drone vulnerability report 26:30 Government shutdown outlook 28:00 Final thoughts and wrap-up

Jyoti Pannu, Product Manager at Booking.com, shares how AI is transforming the way travelers discover, plan, and book their next adventure. From AI trip planners that surface new possibilities to the integration of GenAI and ChatGPT into the core product, Jyoti explains why travel discovery is moving beyond simple search, how user intent is now mapped through nuanced signals, and what the rise of LLMs means for attribution, retention, and the future of app UX. She also dives into cross-vertical product lessons, balancing novelty and personalization, and offers advice for elevating women in product management.Questions addressed in this episode:What is Booking.com, and what does Jyoti's role cover?How is AI being used at Booking.com beyond chatbots and content generation?What does intent-based and natural language discovery look like in practice?How is the app experience changing with AI-driven trip planners and smart filters?How does Booking.com balance user personalization and novelty in recommendations?How do LLM-based discovery channels affect paid UA and retargeting strategies?What guardrails and metrics are important for launching new AI features?What lessons cross over from fintech, e-commerce, and travel in app retention?How should product teams think about post-purchase and post-trip experience?What advice does Jyoti have for women building a career in product and tech?Timestamps:(0:03) – Jyoti's role at Booking.com and scope of the app(1:39) – AI trip planners and intent-driven product development(3:17) – Smart filters and natural language input for hotel discovery(4:03) – How Booking.com infers trip purpose and personalizes UX(6:09) – LLMs, ChatGPT, and new search/discovery interfaces(8:13) – Attribution, channel mix, and UA economics in an AI-first world(11:01) – Avoiding the filter bubble in travel recommendations(13:41) – Booking.com plugins and booking via ChatGPT(15:41) – Cross-vertical product lessons from e-commerce, fintech, and travel(17:58) – Brand omnipresence, loyalty, and retention(19:04) – Emotional stakes and UX in travel vs. transactional apps(21:37) – Post-trip and post-purchase: product touchpoints(22:50) – Testing AI features for retention and quality(24:24) – Guardrails, review, and data governance(25:29) – Elevating women in product and leadership(27:50) – Rapid-fire: travel, career, life, and favorite placesQuotes:(3:35) “We have an option for users called smart filters, where they can make searches in the form of natural language, like how you would interact with a human. We map this in our systems to provide personalized results for these users.”(17:00) “If a user has interacted with our platform and they have made a purchase from two different categories, they are more likely to become a high value customer than someone who has bought multiple times in the same category.”Mentioned in This Episode:Jyoti Pannu on LinkedInBooking.com

Send us a textPeaches runs a solo Daily Drop Ops Brief covering what actually matters across the force—without the internet losing its mind. From a massive Army AI data contract and Navy fatigue countermeasures to Marine Corps technical excellence, Air Force deployment model changes, Space Force's role in Venezuela, and Coast Guard operations in the Pacific, this episode connects policy to reality. Peaches also digs into broken acquisition timelines, submarine delays, NATO dependency truths, Arctic deterrence, defense contracting fraud, household goods reform, and why nuance beats outrage every time. No hype. No fear porn. Just experience, context, and why most headlines miss the point.⏱️ Timestamps: 00:00 Daily Drop intro and attributes-based lens 01:30 Army court-martial and accountability 02:30 $5.6B Army AI / data analytics contract 04:45 Gen AI on government systems explained 06:00 Navy fatigue light therapy trials 07:45 Mine countermeasure ships exit Middle East 08:45 Submarine delays and industrial base issues 10:15 Marine radar repair recognition 11:30 Air Expeditionary Wing 2.0 rollout 13:45 A-10 deployment and nose art 15:00 OTS Alabama plug and permissive TDY 17:30 Space Force role in Venezuela operations 18:45 Coast Guard Pacific strike aftermath 20:00 DoD criticism of 8(a) contracting 22:30 Household goods reform explained 24:30 NATO defense reality check 26:00 Arctic unmanned systems 27:30 Global ops roundup and wrap-up

​​מהפכת ה-AI היא לא רק נחלתם של סטארטאפים קטנים שקמים היום; היא מאתגרת את היסודות של החברות הגדולות והמבוססות ביותר בשוק. בפרק השלישי של הסדרה "דור המהפכה" מבית Startup for Startup, אנחנו צוללות אל מאחורי הקלעים של שתיים מהחברות המצליחות בישראל, למונייד וארטליסט, כדי להבין איך מנווטים ספינות ענק בתוך סערה טכנולוגית. זהו סיפור על האומץ להסתכל למציאות בעיניים, להניח בצד את ה"רומנטיקה" כלפי המוצרים שבנינו במשך עשור, ולהבין שהדרך שבה עבדנו אתמול היא כבר לא הדרך שבה ננצח מחר. עירא בלסקי, מייסד שותף ומנכ"ל ארטליסט, משתף על תהליך השינוי של המוצר שעליו עבדו כמעט עשור שלם, איך במקום להתבצר במודל הישן של ספריות סטוק, ארטליסט בחרה להמציא את עצמה מחדש כפלטפורמה שמנגישה את המודלים המתקדמים בעולם. עירא מסביר למה אסור להתאהב ברעיונות של עצמנו ואיך דווקא היעדר הסנטימנטליות למוצר שבו הושקעו שנים של עבודה, הוא זה שאיפשר להם לרכוב על הגל ולהגיע לשיאי צמיחה חדשים. מהצד השני, עדינה אקשטיין, ה-COO של למונייד, לוקחת אותנו אל עומק היעילות התפעולית בעידן החדש. בחברה שמושתתת על AI מיומה הראשון, עדינה מספרת איך ה-GenAI הפך למאיץ שמאפשר להם להכפיל את הרווחים בזמן שהארגון הופך לרזה ומדויק יותר. היא מדברת על הגדרת תפקידים חדשים כמו "מאמני AI", על הצורך בעובדים עם "Elastic Mindset" ועל התובנה המרכזית שלה למנהלים: המיומנות הכי חשובה היום היא פשוט להיות טובים בשינוי, כי המהפכה הזאת היא לא אירוע חד-פעמי, אלא מציאות שמשתנה כל יום מחדש. כתבו לנו מה חשבתם על הפרק בתגובות או בלינקדאין של Startup for Startup האזינו גם לפרקים הקודמים בסדרה: דור המהפכה 1: שני סטארטאפים בסערה המושלמת של עידן ה-AI דור המהפכה 2: איך מודדים הצלחה של סטארטאפ בעידן ה-AI דור המהפכה 3: ראש בעננים, רגליים על הקרקע - שיחה על השקעות בעידן ה-AISee omnystudio.com/listener for privacy information.

In this episode, host Etienne Nichols sits down with Ashkon Rasooli, founder of Ingenious Solutions and a specialist in Software as a Medical Device (SaMD). The conversation previews their upcoming session at MD&M West, focusing on the critical intersection of generative AI (GenAI) and quality assurance. While many AI applications exist in MedTech, GenAI presents unique challenges because it creates new data—text, code, or images—rather than simply classifying existing information.Ashkon breaks down the specific failure modes unique to generative models, most notably "hallucinations." He explains how these outputs can appear legitimate while being factually incorrect, and explores the cascading levels of risk this poses. The discussion moves from simple credibility issues to severe safety concerns when AI-generated data is used in critical clinical decision-making without proper guardrails.The episode concludes with a forward-looking perspective on how validation is shifting. Ashkon argues that because GenAI behavior is statistical rather than deterministic, traditional pre-market validation is no longer sufficient. Instead, a robust quality framework must include continuous post-market surveillance and real-time independent monitoring to ensure device safety and effectiveness over time.Key Timestamps01:45 - Introduction to MD&M West and the "AI Guy for SaMD," Ashkon Rasooli.04:12 - Defining Generative AI: How it differs from traditional machine learning and image recognition.06:30 - Hallucinations: Exploring failure modes where AI creates plausible but false data.08:50 - The Autonomy Scale: Applying standard 34971 to determine the level of human supervision required.12:15 - Regulatory Gaps: Why no generative AI medical devices have been cleared by the FDA yet.15:40 - Safety by Design: Using "independent verification agents" to monitor AI outputs in real-time.19:00 - The Shift to Post-Market Validation: Why 90% validation at launch requires 10% continuous monitoring.22:15 - Comparing AI to Laboratory Developed Tests (LDTs) and the role of the expert user.Quotes"Hallucinations are just a very familiar form of failure modes... where the product creates sample data that doesn't actually align with reality." - Ashkon Rasooli"Your validation plan isn't just going to be a number of activities you do that gate release to market; it is actually going to be those plus a number of activities you do after market release." - Ashkon RasooliTakeawaysRight-Size Autonomy: Match the AI's level of independence to the risk of the application. High-risk diagnostic tools should have lower autonomy (Level 1-2), while administrative tools can operate more freely.Implement Redundancy: Use a "two is one" approach by employing an independent AI verification agent to check the primary model's output against safety guidelines before it reaches the user.

Microsoft is expanding further on what the free Copilot Chat will cover in Outlook mailboxes. But it will complicate how to describe the difference between free, unlicensed Copilot and licensed M365 Copilot. We also discuss adding watermarks to GenAI created and altered content. Also how the new Agent Mode works in PowerPoint to make changes to your presentations. 0:00 Welcome 2:24 New features coming to Microsoft 365 Copilot Chat for Outlook, Word, Excel, and PowerPoint - MC1187671 6:29 Microsoft Purview: Data Loss Prevention - DLP support for Fabric warehouses - MC1219530 9:27 Agent Mode in Microsoft Copilot for PowerPoint for the web - MC1219792 17:01 Brand impersonation protection for Teams Calling - MC1219793 21:49 New policy to add watermarks to content generated or altered by using AI in Microsoft 365 - MC1221451

Anjali Kakkad is the Founder, Aligned Rewards - a business growth management and stakeholder alignment platform aligning 360 feedback, employee engagement, goal management, and task management. She also leads Product Growth, Strategy including GenAI and Scalable Architecture for Google Maps.

Spending more time fixing your AI outputs then you're saving? You're not alone. The trap? You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. The real winners in the AI race? Companies that have changed the human-AI relationship. How? Join us for Volume 4 of our Start Here Series as we uncover what you need to know. Human-AI Collaboration: Best practices for working alongside AI -- 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:Human-AI Collaboration Best Practices 2026Shift from Operator to Orchestrator RolesHuman-in-the-Loop Limitations ExplainedExpert-Driven AI Review Loops vs. Generic OversightOrchestrating AI Agents for Business ProductivityBuilding Reusable AI Context and SkillsElevating AI Champions on TeamHuman Strengths vs. AI Strengths in WorkflowsAvoiding Augmentation Debt and Workflow PitfallsMindset Shifts for Effective AI ManagementTimestamps:00:00 "Everyday AI: Start Here"03:23 "AI Shift: Operator to Orchestrator"06:35 "Unlearn to Harness AI"11:15 "AI Surpassing Human Collaboration"15:11 Expert-Driven AI Process Loops18:10 "Expert Collaboration Boosts AI ROI"23:59 "Outsmarting AI Through Expertise"26:30 "Navigating AI Success Strategies"31:19 "Embrace AI, Elevate Your Team"32:18 "Embrace AI, Elevate Humanity"Keywords: Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.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 

Why do most GenAI initiatives never make it past the pilot stage? On this week's DisrupTV, Vernon Keenan and Nicholas Thorne cut through the hype to explain why enterprise AI stalls, where real value in AI architectures is emerging, and how founders and leaders can co-build with AI to create lasting competitive advantage—from virtual employees to radically human entrepreneurship.

If AI Agents have capabilities just like humans, should we treat them like humans? If something goes wrong in an agentic workflow, who takes the blame if they're all just nameless, faceless bots? Join us as we talk about it. Do AI Agents need Identities like humans? An Everyday AI Chat with Jordan Wilson and Okta's Eric KelleherNewsletter: 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:AI Agents in Enterprise: Opportunities and RisksAgentic AI: Human vs. Agent ResponsibilitySecuring AI Agent Identities: Okta's ApproachEvolution of Identity Management for AI AgentsIdentity Governance and Auditability for AgentsAgent Impersonation and Cybersecurity ThreatsRogue AI Agent Behaviors and Case StudiesZero Trust Security: Agentic Age ChallengesOpen Standards: Cross App Access ProtocolBenefits of Identifying AI Agents Like HumansResponsible AI Adoption and Ethical ConcernsPractical Steps to Secure Agentic IdentityTimestamps:00:00 "AI Agents: Power and Pitfalls"05:38 "Automating Identity and Access Governance"06:49 Balancing Innovation and AI Security11:57 "Addressing Rogue AI Threats"17:17 "Securing Real AI Agents"19:56 "Balancing AI Innovation and Security"24:13 "Standards for Identifying Nonhuman Agents"27:24 "AI Agents: 24/7 Security"29:48 Securing and Managing Agent IdentitiesKeywords: AI agents, agentic AI, AI agent identity, securing AI agents, agentic identities, AI identity management, nonhuman identity, machine identity, multi agent orchestration, agent impersonation, agent governance, securing agents, compromised identity, cyber attacks, threat actors, state actors, privileged access management, identity governance, identity directory, auditability, credential vaulting, agent provisioning, agent deprovisioning, automation, zero trust, AI authorization, AI authentication, cross app access, model context protocol, identity security posture management, rogue agent behavior, agent discovery, business logic, anomaly detection, technology guardrails, responsible AI, ethical AI,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 

Losing some skills to Gen AI isn't decline — it's evolution. As AI takes over routine tasks, humans gain space for creativity, empathy, judgment, and strategy — the abilities that truly define our value. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why losing skills to Gen AI is a winning strategy.This article forms the basis for this episode: https://disasteravoidanceexperts.com/why-losing-skills-to-gen-ai-is-a-winning-strategy/

What are the key lessons you've learned about building high-performance teams that actually move the needle? You've described the classic “SWAT team” lifecycle: small, focused, agile—and then scale brings complexity and drag.What's one example from your career where you saw that SWAT energy sustained—or completely lost—when scaling? What was the key difference?At Walmart scale, structure is inevitable.How do you personally balance the need for speed and experimentation with the operational rigor required in a global enterprise? How do you know when it's time to add process—and when to get out of the team's way? You mentioned protecting velocity and preserving that tight customer feedback loop. How are you using GenAI to enable that today? Can you share a concrete way GenAI is helping Walmart teams make faster, more informed decisions? You've worked across startups and Fortune 1. What genuinely excites you right now?Is it the technology, the scale, the people challenge? What's keeping you energized as you lead this next chapter of transformation?

Wait.... AI can do THAT now?

Gretchen Stewart knows she doesn't know it all, always asks why, challenges oversimplified AI stories, champions multi-disciplinary teams and doubles down on data.   Gretchen and Kimberly discuss conflating GenAI with AI, data as the underpinning for all things AI, workflow engineering, AI as a team sport, organizational and data siloes, programming as a valued skill, agentic AI and workforce reductions, the complexity inherent in an interconnected world, data volume vs. quality, backsliding on governance, not knowing it all and diversity as a force multiplier.Gretchen Stewart is a Principal Engineer at Intel. She serves as the Chief Data Scientist for the public sector and is a member of the enterprise HPC and AI architecture team. A self-professed human to geek translator, Gretchen was recently nominated as a Top 100 Data and AI Leader by OnConferences. A transcript of this episode is here.   

בפרק חדש בסדרה, יוני אירח את בן בלנקי, Founder & Growth Architect @ SuperteamOS לשיחה על איך נראית צמיחה בעידן שבו הקצב והציפיות מהמוצר משתנים במהירות. ----------- דיברנו על: - איך GenAI משנה את האופן שבו חושבים על צמיחה במוצרים - אילו עקרונות של צמיחה נשארו רלוונטיים, ואילו כבר לא עובדים בעידן החדש - איך ליישם טכניקות חדשות לצמיחה, ומאילו טעויות שווה להמנע - ומה חשוב לקחת בחשבון כשבונים אסטרטגיית צמיחה רלוונטית לשנה הקרובה

One of the biggest mistakes in AI? Thinking that your company's AI use is noteworthy. Or, even a competitive advantage. It's not. We break it down in Volume 3 of our 'Start Here Series.' AI as an Operating System: LLMs Are the Internet Now -- 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:AI As An Operating System ExplainedLarge Language Models Replace Traditional AppsAI Integration in Knowledge Work PlatformsChoosing the Right AI Operating SystemMicrosoft Copilot vs. Google Gemini vs. Claude vs. ChatGPTAgentic Browsers Powering Autonomous WorkflowsModel Context Protocol (MCP) for AI AgentsOrchestration Layer and Agent CollaborationChatGPT Apps Merging AI and InternetEnterprise Data Integration with AI ToolsContext Switching Reduction Through AI AgentsStrategic AI Adoption and Platform RedundancyTimestamps:00:00 "AI: A New Operating System"03:58 "AI Transforming Work Interfaces"06:41 "Collaborating in AI-Native Workspaces"12:25 Anthropic's Innovations in AI Tools13:46 "OpenAI's Strategy and Market Focus"18:02 "Cognitive Evolution Through AI"20:57 "Agentic Browsers: Key 2025 Advancement"25:12 Improving Content Through Data Insights26:42 "Anthropic's MCP: The AI Connector"32:19 "AI Tools for Productivity Integration"34:20 "AI: Unlocking Context and Efficiency"36:32 AI Governance and System Portability39:35 "AI Operating System Insights"Keywords: AI operating system, large language models, LLMs, AI as infrastructure, enterprise AI, AI adoption, agentic workflows, AI agents, orchestration layer, Copilot, Microsoft 365 Copilot, Google Gemini, Gemini business, Gemini enterprise, Anthropic Claude, Claude cowork, MCP, model context protocol, OpenAI, ChatGPT, ChatGPT apps, ChatGPT business, ChatGPT enterprise, AI native, dynamic data integration, productivity with AI, collaboration tools, agentic browsers, autonomous AI agents, context window, memory and personalization, expert-driven loops, app hop tax, context switching, AI integration in business, AI tools for teams, AI platform selection, data governance, modular AI workflows, permissions and audit logs, backup and redundancy in AI, competitive advantage with AI, 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 

In this episode of Tacos & Tech, Neal Bloom sits down with longtime friend, founder, and self-described “Maine Melon,” Jared Ruth, founder of Ripcurrent. What starts as a walk down memory lane through San Diego's early startup ecosystem turns into a wide-ranging conversation about entrepreneurship, marketing, AI, and the human moments technology should protect - not replace.Jared shares his journey from decades in telecom and corporate innovation to building Ripcurrent, a marketing and automation agency focused on Main Street businesses. Together, Neal and Jared unpack how generative AI and no-code tools have radically lowered the barrier to building, why small businesses are both overwhelmed and empowered by tech, and how the next era of marketing isn't about shouting louder - it's about removing friction so humans can show up where it matters most.Key Topics Covered* Jared's path from telecom and corporate innovation to founding Ripcurrent* Early days of San Diego's startup ecosystem, Founder Dinners, and CTO roundtables* Building “startups inside big companies” and why that experience matters* The moment GenAI unlocked solo building and rapid experimentation* Vibe coding, no-code tools, and the rise of AI-native workflows* Why small and Main Street businesses struggle with modern marketing tech* Google Business Profiles, search, and what visibility means in an LLM-driven world* Automation as a way to remove transactional work - not human connection* Where AI agents help brands and where they can quietly destroy trust* Why trust and brand moments matter more than the underlying technology* Parallels between AI adoption and autonomous driving trust curves* Using technology to give business owners their time - and humanity - back* The optimism (and responsibility) that comes with building in the AI eraLinks & Resources* RipcurrentConnect with Jared & Neal* Jared Ruth* Neal Bloom This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

Mary O'Carroll isn't experimenting for fun, she's trying to solve one of legal's biggest scaling problems: the fact that the profession's best judgment and hard-earned experience still lives in people's heads, buried in laptops, or scattered across years of emails. So in this episode of Pearls On Gloves Off, Mary runs a real test: she trains a digital twin on essentially all of her content (podcasts, talks, blogs, speeches), and then sits down for a conversation with "Digital Mary" to find out whether a digital mentor can actually deliver useful guidance. In this episode: Digital Mentors, Tested: Why Mary built a digital twin trained on decades of her content - and whether AI can realistically scale mentorship and judgment in legal. Legal Ops, Rewritten: How the function has evolved from managing outside counsel spend to driving technology, data, and GenAI-enabled transformation. The Lawyer Skillset Is Shifting: Why trust, judgment, and relationship-building matter more than ever, even as training models struggle to keep up. Tech Hype vs. Real Impact: How to think "problem first, tool second," and why foundational legal tech still delivers massive value alongside AI. Pressure on the Billable Hour: What AI exposes about law firm economics, pricing, and the growing need for right sourcing and true partnership. If you're thinking about training, legal ops scale, AI disruption, or the future of law firm economics, this episode is a rare, real-time look at how the profession might start "bottling" expertise, and what it will take to do it well. Follow Mary on LinkedIn  Rate and review on Apple Podcasts Explore the Forces of Law collection and download the report to get the insights you need to future-proof your business strategy: https://bit.ly/45Tvpfd

Generative AI is moving fast—and in pharma, it's no longer just a buzzword. In this episode of The Effective Statistician Podcast, I speak with Manuel Cossio about how Generative AI is already being applied in real-world pharma settings, where it's delivering value today, and what still needs careful consideration in regulated environments. Manuel brings a unique hybrid background, combining molecular biology, genetics, pharma experience, and deep AI engineering expertise. He works at the cutting edge of AI in clinical development, including agentic systems, human-in-the-loop approaches, and large-scale document automation. This conversation goes well beyond theory. We focus on practical use cases, real limitations, and how statisticians, programmers, and data scientists can responsibly use GenAI to become more effective.

Welp. That was wild.

Soup's on! Nadia, Eric, and special guest Rebekah Valentine are cooking up an RPG Stew of games they've been playing lately. Plus, how prerelease parties at your local gaming store help build community, (the “G” in MTG stands for “gathering”). Subscribe for bonus episodes and discord access at https://www.patreon.com/bloodgodpod and celebrate our 10th Anniversary with new merch at https://shop.bloodgodpod.com Also in this episode: Nadia's MAGfest Recap Comments on genAI at Cygames Final Fantasy VII Remake in “Streamlined Progression” Mode Timestamps: 11:04 - Main Topic - RPG Stew 01:18:32 - Random Encounters 1:28:25 - Magic the Gathering Nook Music Used in this Episode: Do Your Best - [Breath of Fire III] A Curious Tale - [Secret of Mana] Main Theme - [Octopath Traveler 0] Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Tech Talks Daily, I sat down with Keith Zubchevich, CEO of Conviva, to unpack one of the most honest analogies I have heard about today's AI rollout. Keith compares modern AI agents to toddlers being sent out to get a job, full of promise, curious, and energetic, yet still lacking the judgment and context required to operate safely in the real world. It is a simple metaphor, but it captures a tension many leaders are feeling as generative AI matures in theory while so many deployments stumble in practice. As ChatGPT approaches its third birthday, the narrative suggests that GenAI has grown up. Yet Keith argues that this sense of maturity is misleading, especially inside enterprises chasing measurable returns. He explains why so many pilots stall or quietly disappoint, not because the models lack intelligence, but because organizations often release agents without clear outcomes, real-time oversight, or an understanding of how customers actually experience those interactions. The result is AI that appears to function well internally while quietly frustrating users or failing to complete the job it was meant to do. We also dig into the now infamous Chevrolet chatbot incident that sold a $76,000 vehicle for one dollar, using it as a lens to examine what happens when agents are left without boundaries or supervision. Keith makes a strong case that the next chapter of enterprise AI will not be defined by ever-larger models, but by visibility. He shares why observing behavior, patterns, sentiment, and efficiency in real time matters more than chasing raw accuracy, especially once AI moves from internal workflows into customer-facing roles. This conversation will resonate with anyone under pressure to scale AI quickly while worrying about brand risk, accountability, and trust. Keith offers a grounded view of what effective AI "parenting" looks like inside modern organizations, and why measuring the customer experience remains the most reliable signal of whether an AI system is actually growing up or simply creating new problems at speed. As leaders rush to put agents into production, are we truly ready to guide them, or are we sending toddlers into the workforce and hoping for the best? Useful Links Connect with Keith Zubchevich Learn more about Conviva Chevrolet Dealer Chatbot Agrees to Sell Tahoe for $1 Thanks to our sponsors, Alcor, for supporting the show.

Powering businesses to accomplish their daily work remains Intuit's central mission, using AI and a network of human experts to accomplish a wide range of business tasks for more than 100 million customers, from closing accounting books, processing payroll to preparing taxes. In this Tech Disruptors podcast episode, Intuit CTO Alex Balazs speaks with Bloomberg Intelligence analyst Niraj Patel about the company's evolution from a provider of desktop products to its latest AI agents. Balazs also touches on its data-scale differentiator, how GenAI is reshaping software and Intuit's future position as a financial-operating system.Tech Disruptors: Listen to this episode on Apple Podcasts and Spotify.

"How do I create the 'wow' moment for my end user? And slowness never creates the wow moment." PolarGrid founder and CEO Rade Kovacevic believes GenAI video and voice will be killer apps once they can function in real-time. Enabling real-time GenAI requires uncorking the inference bottleneck that the hyperscalers have helped build. The BetaKit podcast is presented by Fasken Emerging Tech, supporting trailblazing startups, venture capital funds and acquirers of high-growth tech companies for over 30 years. If you're curious about the health of Canada's tech M&A scene, you've got to check out Exit InSights. It's a first-of-its-kind report from Fasken's Emerging Technology & Venture Capital Group that analyses private M&A activity among VC-backed and high-growth tech companies. You'll learn how buyers and sellers are maximizing value, minimizing risk, and navigating one of the most vibrant tech ecosystems out there. Download your free copy of the report.

The AI gap will kill companies.What is it? it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for. And one of the biggest reasons for the AI gap? Talking. Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing. You wanna talk to your AI team about LLMs? PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production. Yeah, the divide is WIIIIIDE. So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- 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:AI Jargon Barrier for Business LeadersGenerative AI Basics and Lingo BreakdownChatGPT, Claude, and Gemini Model ComparisonUnderstanding Tokens and Context WindowsLarge Language Models: Prompt to OutcomeParameters, Model Power, and Cost ImplicationsRetrieval Augmented Generation (RAG) ExplainedEmbeddings, Vector Databases, and ChunkingAgentic Models vs. Transformer ModelsAI Risks: Hallucinations, Prompt Injection, GuardrailsModel Context Protocol (MCP) and ConnectorsScaffolding for Complex AI WorkflowsAI Success: ROI, Risk, and Implementation StrategiesTimestamps:00:00 "Join Start Here Series Community"03:21 Bridging AI and Business Leaders09:35 Partnering for Generative AI Success12:26 "AI Models Operate Using Tokens"15:41 "Shift to Smaller AI Models"18:56 "Understanding RAG and Its Impact"22:38 "AI Tools Connecting via MCP"24:56 "Minimizing AI Hallucinations Effectively"28:45 "Fast, Careful AI Implementation"30:53 "AI Guide for Business Leaders"Keywords: AI language, AI jargon, artificial intelligence terminology, AI lingo, large language model, generative AI, prompt engineering, context engineering, context window, tokens, tokenization, model architecture, model parameters, neural network connections, 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 

AI agents can do our work. OK, sweet. But they can also do.... a lot of bad. Yikes.

Today's arms race looks a little different from those of the past. Under the Trump administration, the US Department of War (DoW) is deploying generative AI to millions of employees in order to maintain a strategic edge over our global adversaries. Sarah Guo and Elad Gil sit down with Emil Michael, the Under Secretary of War for Research and Engineering of the United States, to discuss the radical technological transformation of the US military. Emil outlines the architecture and launch of GenAI.mil, a DoW internal AI platform powered by Gemini and Grok that reached over one million unique users in its first 30 days. He also highlights critical technology priorities for national security, including hypersonics, direct energy, and autonomous drone swarms. Together, they also explore the urgent need to rebuild the American defense industrial base and end dependency on foreign supply chains for critical materials, as well as how Emil is recruiting the next generation of “fixer-builder” workers to serve their country in government.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @USWREMichael | @DoWCTO Chapters: 00:00 – Cold Open 00:00 – Emil Michael Introduction 00:58 – Emil's Role at the Department of War 05:22 – Innovation Priorities for the DoW 08:27 – Shift Toward Autonomous Defense Technologies 10:41 – Identifying Common Needs Across the DoW 12:02 – Architecting GenAI.mil 13:48 – Applied AI Initiatives at the DoW 15:57 – The Future of Warfare 17:55 – Recruiting for DoW 19:33 – Arsenal of Freedom Tour 22:25 – Opportunities for Entrepreneurs at DoW 25:49 – Speeding Up and Scaling DoW Initiatives 28:37 – Innovation in Defense Tech 30:00 – Change Management in Government 32:09 – Rebuilding the Defense Industrial Base 37:27 – Initiatives and Opportunities at the Office of Strategic Capital 41:41 – Lessons from Emil's Government Experience 44:30 – Conclusion

Apple has introduced Creator Studio, a subscription-based suite that embeds AI-assisted features directly into familiar productivity and creative tools while maintaining strict control over interfaces and user experience. Alongside this launch, Apple confirmed a multiyear partnership with Google to use Gemini and Google Cloud as foundational AI infrastructure, reportedly involving annual payments of around $1 billion. The approach reinforces Apple's strategy of treating AI models as interchangeable components while retaining authority at the application layer, shifting responsibility for governance and oversight away from the platform and toward downstream users and advisors.Google, meanwhile, expanded Gemini through a new Personal Intelligence feature that can reason across Gmail, Photos, Search, and YouTube data for consumer accounts. Available initially to paid subscribers and requiring explicit consent, the capability highlights Google's advantage in contextual data rather than model novelty. By keeping the feature out of Workspace for now, Google appears to be setting user expectations in consumer environments before enterprise deployment, a move that may influence how business users evaluate AI-enabled decision support in the future.Pax8 disclosed a data leak affecting approximately 1,800 MSP partners after an internal spreadsheet was mistakenly shared with a limited number of recipients. While no personally identifiable information was exposed, the data included licensing and commercial details that could be used for competitive intelligence or targeted attacks. The incident coincides with Pax8's rapid international expansion, new regional offices, and growing reliance by MSPs on its marketplace for procurement and security tooling, including the recent addition of Cork Cyber's risk intelligence platform.Taken together with renewed attention on AI governance, the Secure by Design initiative, and guidance on when to apply GenAI versus traditional code, the episode underscores a widening gap between automation and authority. Surveys show a majority of IT leaders now prioritize AI governance, reflecting concern over accountability, data flows, and failure handling. For MSPs and IT service providers, these developments reinforce the need to clearly define who has the power to approve, pause, or override AI-driven systems and platform dependencies, as clients increasingly expect service providers to explain and manage outcomes they may not fully control. Four things to know today Apple's Creator Studio and Google Partnership Show a Strategy Built on Control, Not AI OwnershipAs Gemini Reasons Across Gmail, Search, and YouTube, Google Redefines AI Advantage Around Context            Pax8 Data Leak, Rapid Expansion, and Marketplace Growth Expose Risk Shift to MSPsAI Governance, Secure by Design, and GenAI Adoption Reveal a Growing Authority Gap for MSPs This is the Business of Tech.    Supported by:  https://scalepad.com/dave/

What does sovereignty actually mean? This week, Technology Now dives into the world behind the words, exploring the reality versus the fantasy of data and technological sovereignty. We ask how definitions can change across location, and why this is important to understand when trying to work across boarders. Sana Kharegani, Chief Strategy Officer at Carbon3.AI tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Sana:https://www.linkedin.com/in/sana-khareghani-4346771/?originalSubdomain=ukSources:https://gdpr-info.eu/issues/fines-penalties/https://www.dataversity.net/articles/brief-history-cloud-computing/https://www.kiteworks.com/risk-compliance-glossary/data-sovereignty-protecting-our-digital-footprint-in-the-age-of-information/https://gdpr.eu/what-is-gdpr/

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 

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what's next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot's Top Data & AI Trends of 2026 ebook.Get ready for a deep dive into:Agentic AI goes mainstream with Paul Baier, CEO and Co-Founder of GAI InsightsAI-ready data and the rise of the AI manager with Jennifer Belissent, Principal Data Strategist at SnowflakeScaling agents with trust and control with Rory Blundell, CEO of GraviteeConsider this your field guide to navigating AI in 2026.Key Moments:Agentic AI Goes Mainstream with Paul Baier, GAI Insights (1:50): Paul Baier, CEO and Co-Founder of GAI Insights, explains why enterprises that already have GenAI in production are pulling decisively ahead, how agentic AI is reshaping enterprise operating models, and why leadership alignment and AI literacy will determine winners in 2026.AI-Ready Data and the Rise of the AI Manager, Jennifer Belissent, Snowflake (19:16): Dr. Jennifer Belissent, Principal Data Strategist at Snowflake, breaks down why data quality, transparency, and governance remain the foundation of AI success, and why the next critical enterprise skill is learning how to manage AI agents as part of the workforce.Scaling Agents with Trust and Control with Rory Blundell, Gravitee (35:11): Rory Blundell, CEO of Gravitee, shares how the agentic era is redefining API integration, why most enterprises are stuck at early AI maturity stages, and how agent management and security frameworks will unlock real action in 2026.Key Quotes:“Yo u have to treat AI as a capability and not an IT project.” - Paul Baier“ Transparency as a requirement is not slowing down adoption. It's actually accelerating it.” - Jennifer Belissent“My prediction is that companies that adopt robust security frameworks in 2026 will be the companies that accelerate fastest.” - Rory Blundell MentionsGAI Insights' Corporate Buyers Guide to Enterprise Intelligence ApplicationsHarvard Business Review: GAI Insights' WINS FrameworkGravitee's AI Readiness CurveThoughtSpot's Top Data & AI Trends of 2026 ebookGuest Bios Paul BaierMr. Baier is the CEO and principal analyst at GAI Insights. Mr Baier co-authored 4 articles about enterprise GenAI that were featured in Harvard Business Review and MIT Sloan Management Review. He was appointed an Executive Fellow at Harvard Business School and is a Forbes contributor. He is a seasoned software entrepreneur with two decades of experience and multiple exits. Related to AI, he was VP of Product at First Fuel Software, an enterprise AI company for 5 years. He holds an MBA from Harvard and a BA from Kenyon College.Jennifer BelissentAs Principal Data Strategist, Jennifer advises Snowflake customers on data and AI strategy and best practices in building world-class organizations. Previously, she spent over a decade as a Forrester Analyst, and has held management positions in tech sales and marketing, designed urban policy programs, taught secondary school math as a Peace Corps volunteer, and earned a Ph.D. in political science from Stanford University and a B.A. in econometrics from the University of Virginia.Rory BlundellRory Blundell is the CEO of Gravitee. He joined the company in March 2020, first as Chief Revenue Officer, before becoming CEO in September 2020. Prior to Gravitee, Blundell led SnapLogic's EMEA expansion from a technical sales perspective, overseeing significant growth in EMEA revenues over three years. Prior to SnapLogic, he was the CEO and founder of Velinko, a UK software and consultancy company for the legal and accounting sectors. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

There's hundreds of AI tools released every day. Most are garbage. But these AI tools and model updates were the BANGERS that defined the year. So what made our top list? Tune in and find out. Top AI Tools and Releases of 2025 -- 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:Top AI Tools and Releases 2025 ListCriteria for AI Tool Selection 2025Honorable Mentions: AI Tools ExcludedCanva Visual Suite 2.0 Feature ReviewChatGPT Atlas Agentic Browser CapabilitiesChatGPT Deep Research Agent OverviewClaude Code Terminal Coding Agent ExplainedClaude Opus 4.5 Model BenchmarksCursor 2.0 Multi-Agent Code Editor UpdateDeepSeek v3 Open Source AI ModelsGenSpark Multi-Agent Workspace FeaturesGemini 3 Flash Model IntegrationGemini 3 Pro Multimodal Model ReviewGemini Canvas Mode Interactive WorkspaceGPT Image 1.5 Advanced GenerationGPT 5.2 Pro Expert Reasoning AbilitiesLovable AI Full Stack App BuilderManus Super Agent Workflow AutomationChatGPT Pulse Proactive AI Daily BriefingMicrosoft 365 Copilot Agent ModesNano Banana Pro Image Reasoning CapabilitiesNotebook LM Updates: Video & Slides FeaturesPerplexity Comet Agentic Browser AnalysisReplit Agent 3 Cloud App BuilderRunway Gen 4.5 Pro Video GenerationSora 2 OpenAI Video Model InnovationsSuno v5 AI Music Generator ImprovementsGoogle VO 3.1 Flagship Video Model ReviewS/A/B/C/D Tier Ranking of AI ToolsTool of the Year: Notebook LM StudioTimestamps:00:00 "Top AI Tools & Releases"10:16 "Atlas AI Tool Overview"15:21 "Claude Code's Growing Popularity"21:02 "DeepSeek v3: Open AI Model"24:36 "Gemini 3 Flash Dominates AI"30:10 "Canvas Mode & Code Rendering"36:11 "Lovable and Manus Overview"38:47 "Proactive AI and Personalization"46:25 "Perplexity and Comment Advantages"51:30 "Sora: Creative AI Character Tool"53:27 "Suno: AI Music Revolution"01:03:42 "Notebook LM: Tool of 2024"01:07:19 "Start Here: Everyday AI Basics"Keywords:Top AI tools of 2025, AI tools, AI releases, ChatGPT Atlas, ChatGPT Deep Research, Claude Code, 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 

Why did ChatGPT go all in on health.... twice?

A New Year means new resolutions and for many of us that includes making a pledge to chip away at the ever-growing backlog. Are you going to tackle a new series? Revisit an old classic? Are some of last year's hits on sale for the right price? Or do you need something effervescent to pair with a white meat? Eric, Victor, and special guest John Carson discuss what drives them to check games of the list, and whether that's even something we should be beating ourselves up over. Subscribe for bonus episodes and discord access at https://www.patreon.com/bloodgodpod and celebrate our 10th Anniversary with new merch at https://shop.bloodgodpod.com Also in this episode: More comments on genAI at Larian Final Fantasy XI updates for 2026! Fire Emblem Path of Radiance on Nintendo Switch Online Magic the Gathering Update Note: Microsoft and the Xbox brand remain subjects of the BDS (Boycott, Divestment, Sanctions) movement for their complicity in the ongoing apartheid and genocide of Palestine. Visit https://www.bdsmovement.net/microsoft for more information. Timestamps: 12:04 - Main Topic - How To Handle One's Backlog 59:12 - Random Encounters 1:16:32 - The Tavern - Holiday Gaming Habits 1:30:26 - Magic the Gathering Nook Music Used in this Episode: Do Your Best - [Breath of Fire III] A Curious Tale - [Secret of Mana] Shinjuku - [Shin Megami Tensei NINE] Learn more about your ad choices. Visit megaphone.fm/adchoices

Ban AI?

Why wasn't 2025 the year of the agents?