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  • Ep 717: AI Agents in 2026 Explained: What They Are and When You Should Use Them (Start Here Series Vol 8)

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    Ep 717: AI Agents in 2026 Explained: What They Are and When You Should Use Them (Start Here Series Vol 8)

    AI Agents. AI Agents everywhere. 🪐 For what seems like an eternity, we've been hearing about how AI agents were going to do everything. (In a good and bad way)  But it never really happened.  Until now.  Today, AI agents are more important than ever. But... the questions are still legit plentiful.   ↳ What actually is an AI agent?   ↳ How do they work?   ↳ And what are the best ways to implement them?  We'll tackle those questions and more, LIVE.  AI Agents in 2026 Explained: What They Are and When You Should Use Them -- An Everyday AI Chat with Jordan Wilson (Starter Series, Vol 8) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join 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 lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: AI Agents 2026: Definition & OverviewAI Agents vs Traditional AI ChatbotsCurrent State of AI Agents in EnterprisesAI Agent Adoption Statistics & Market TrendsKey Differences: Workflow Automation vs AI AgentsTypes of AI Agents: Task, Process, DecisionAutonomous vs Passive AI Agents ExplainedReal-World Risks: Security & Shadow AI ToolsAI Agent Use Case Decision FrameworkBest Practices: Starting AI Agent PilotsMeasuring AI Agent ROI & PerformanceBuilding Effective Agent Ecosystems Timestamps: 00:00 "Join Our Inner Circle" 05:29 "Understanding AI Agents" 08:41 "Autonomous Agents as Workers" 11:04 Agentic AI: Decisions and Challenges 17:00 "Shadow AI Poses Growing Risks" 18:00 "Agent Creativity and Loopholes" 22:04 "Agentic Transactions and AI Workflows" 25:27 "Getting Started with AI Agents" 27:20 "Future Success in AI Agents" Keywords:  AI agents, autonomous agents, agentic AI, multi-agent systems, AI agent definition, agentic models, autonomous systems, AI chatbots, AI-powered workflows, decision frameworks for AI agents, enterprise AI adoption, agent guardrails, AI task automation, passive agents, bounded autonomy, agent observability, agent traceability, agentic first workflow, AI delegation, sub-agents, tool-using AI, 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 access all episodes there: StartHereSeries.com

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    31 min
  • Sonnet 4.6 Changes the Agent Math

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    Sonnet 4.6 Changes the Agent Math

    Anthropic drops Sonnet 4.6 with a million-token context window and major gains in computer use, coding, and agentic workflows at a dramatically lower price point—immediately reshaping the economics of OpenClaw-style agents. Meanwhile, Grok 4.2 enters public beta with a multi-agent debate system and promises rapid weekly improvement, and Apple ramps up AI wearables. In the headlines: Apple’s AI glasses push, Spotify engineers stop writing code by hand, Meta commits to millions of Nvidia GPUs, Chinese AI price wars, and a possible SaaS rebound. Want to build with OpenClaw? LEARN MORE ABOUT CLAW CAMP: ⁠⁠https://campclaw.ai/⁠⁠ Or for enterprises, check out: ⁠⁠https://enterpriseclaw.ai/⁠⁠ Brought to you by: KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mercury - modern banking for business and now personal accounts. Learn more at https://mercury.com/personal-banking Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠https://blitzy.com/⁠⁠⁠ Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/ Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring the show? sponsors@aidailybrief.ai

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    26 min
  • Safer, Faster Public Transportation: AC Transit’s AI-Powered Upgrade with Hayden AI - Ep. 290

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    Safer, Faster Public Transportation: AC Transit’s AI-Powered Upgrade with Hayden AI - Ep. 290

    Transit agencies are using AI and edge computing to keep bus lanes and bus stops clear — boosting on‑time performance, accessibility, and safety for riders. AC Transit CTO Ahsan Baig and Hayden AI CEO Marty Beard explain how bus‑mounted cameras and NVIDIA-powered edge AI automatically detect vehicles blocking bus lanes and stops, protect rider privacy by design, and are helping change driver behavior in the San Francisco Bay Area. Explore the next wave of AI innovation at NVIDIA GTC. Learn more.

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    29 min
  • Repeat-Repeat: Why Simply Repeating a Prompt Can Make LLMs Smarter

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    Repeat-Repeat: Why Simply Repeating a Prompt Can Make LLMs Smarter

    In this episode of Artificial Intelligence: Papers and Concepts, we explore the surprisingly simple idea behind "Prompt Repetition Improves Non-Reasoning LLMs," a new study from Google Research that challenges how we think about improving model performance. Instead of changing model architecture or increasing compute, the paper shows that repeating the same prompt can significantly improve how language models process information - revealing hidden limitations in attention and token prioritization. We break down why such a minimal technique works, what it tells us about the internal mechanics of large language models, and how small changes in prompt structure can unlock better reasoning without longer wait times or heavier infrastructure. If you're interested in prompt engineering, LLM behavior, or the evolving science behind how models actually "think," this episode explains why sometimes the biggest breakthroughs come from the simplest ideas. Resources Paper Link: https://arxiv.org/pdf/2512.14982 Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or  visit us at https://bigvision.ai

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    14 min
  • 🎙️ « J’ai dit non aux millions pour protéger VLC » (Jean-Baptiste Kempf, Kyber)

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    🎙️ « J’ai dit non aux millions pour protéger VLC » (Jean-Baptiste Kempf, Kyber)

    Bienvenue à l’écoute d’INNOVATEURS, une nouvelle série de Monde Numérique consacrée à celles et ceux qui font l’innovation. Pour ce premier numéro, je reçois Jean-Baptiste Kempf, co-créateur du logiciel VLC, figure de l’open source, aujourd’hui à l’origine du projet Kyber. Punchlines - Refuser l’argent sur VLC, c’était la bonne chose à faire.- L’open source, ça appartient à tout le monde.- Innover, c’est déplacer l’état de l’art.- La qualité pour innover, c’est ne pas avoir peur.- L’IA est un accélérateur, pas un remplaçant.C'est une histoire qui fait désormais partie de la saga française des technologies. Au début des années 2000, des étudiants de l'école Centrale Paris créent VLC, un logiciel capable de lire tous les formats vidéo. Cela deviendra le logiciel français le plus téléchargé au monde, utilisé par des centaines de millions de personnes. Jean-Baptiste Kempf, co-créateur de VLC, raconte cette aventure. Il dévoile l’envers du décor, comment une technologie open source a suscité bien des appétits, et il explique pourquoi il a refusé des offres de rachat mirobolantes. Il raconte aussi ce qui se cache derrière VLC : les cyberattaques, les fausses versions et les tentatives de détournement. Il partage aussi son parcours hors VLC, avec Shadow, Vente Privée, Scaleway et aujourd'hui Kyber, une solution de transmission à très faible latence pour contrôler à distance ordinateurs, robots ou drones, en open source avec une licence commerciale. Enfin, il livre sa vision de l'innovation qui, pour lui, consiste à “déplacer l’état de l’art", à condition de "ne faut pas avoir peur". L'occasion d'évoquer la culture du risque et de l’échec en France. Il se confie également sur son usage de l'IA, un “super stagiaire” pour coder plus vite, qui ne remplace pas l'humain, mais qui pose un vrai défi pour la formation des juniors. Interview : Jean-Baptiste Kempf, co-créateur de VLCComment est né VLC ?VLC n’a pas été conçu comme un produit standard. C’est l'aboutissement de plusieurs projets étudiants à Centrale, liés au réseau du campus. À l’origine, il y avait l’idée de faire transiter un flux vidéo sur le réseau local, et ensuite le projet a été relancé en open source. Il a fallu trois ans pour convaincre l’école de passer en licence GPL, et ça s’est fait le 1er février 2001. Le logiciel “client” s’appelait Vidéolan Client, puis c’est devenu VLC, et la plupart des gens l’utilisent juste comme lecteur vidéo. Pourquoi avoir refusé des offres financières énormes pour VLC ?Parce que cela n'aurait pas été moral. VLC n’est pas à moi, c’est des milliers de personnes qui ont contribué, des générations d’étudiants. On aurait pu faire énormément d’argent avec notre base installée énorme, surtout via la marque et le site web. Mais détruire la confiance, détruire la communauté en deux ans “par calcul”, je ne pouvais pas. Je n’aurais pas pu dormir la nuit. Donc j’ai refusé des sommes à huit chiffres. En quoi consiste ton nouveau projet Kyber ?Kyber, c’est hérité de Shadow, où je suis passé également : c'est l’idée de contrôler des machines à distance, avec de très faibles latences. Ça peut être des ordinateurs puissants avec GPU pour l’IA, du rendu 3D ou du gaming, mais aussi des drones, des robots, des véhicules autonomes qui ne sont pas totalement autonomes. On apporte les briques réseau, l’encodage/décodage vidéo à très faible latence, et la synchronisation de tous les flux : audio, vidéo, capteurs, clavier, souris, gamepad. Et il faut aussi s’adapter aux conditions réseau, sans pouvoir “attendre” comme Netflix : quand tu contrôles un robot, c’est la vraie vie. Qu'est-ce que l'innovation pour toi et quelles qualités faut-il pour innover ?Pour moi, innover, c’est déplacer l’état de l’art : soit en recherche, soit avec des produits vraiment nouveaux. Le problème, c’est quand tout le monde se dit innovant : à la fin, plus personne ne l’est. Et la qualité indispensable, c’est ne pas avoir peur. En France, on a eu un vrai changement culturel : l’échec fait moins peur, beaucoup plus de diplômés veulent aller en start-up qu’avant. Et il faut éviter la monoculture : c’est la diversité qui fait apprendre. -----------♥️ Soutien : https://mondenumerique.info/don 🗞️ Newsletter : https://mondenumerique.substack.com Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

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    59 min
  • Cognitive Synthesis and Neural Athletes

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    Cognitive Synthesis and Neural Athletes

    As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work. Featuring: Deborah Golden – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: DeloitteSponsor:  Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIUpcoming Events:  Register for upcoming webinars here!

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    52 min
  • #98 - The Rise of the AI Native Employee | Thomas Bustos

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    #98 - The Rise of the AI Native Employee | Thomas Bustos

    What is an AI Native employee? It’s not someone who occasionally uses ChatGPT. It’s not someone who automates a few workflows. It’s someone who integrates AI into how they think, decide, and operate. In this episode, Thomas Bustos explores the rise of the AI Native employee—not as a job title, but as a new operating standard. Before AI, employees manually summarized, synthesized, reported, and shared knowledge. Decision-making required slow coordination. Context was fragmented. Now, the AI Native shift is changing how organizations think, decide, and execute. The AI Native employee defines what great looks like. They set constraints. They design systems. They use AI to enhance clarity, not to outsource thinking. Thomas Bustos breaks down why companies that fail to build AI Native systems will struggle with accountability, context gaps, and slow decision loops. And why the real competitive advantage is how employees integrate AI into learning velocity and decision quality. This episode is a blueprint for leaders who want to move from AI curiosity to AI Native execution. Top Takeaways: If your company is just getting seats for people to ask things to ChatGPT, you definitely need to change something. Create accountability and a motion of learning velocity. The more connected your context system is, the better decisions can be made. The quality of decisions depends on how much reality your team can see. Software is going to zero, meaning the cost of building solutions is decreasing. The jobs are not going anywhere; they are evolving with technology. If you can generate more impact, you are more valuable. Creating systems that enhance learning and context is crucial for growth. This is why we're playing this game: to continuously learn and adapt. Connect with Thomas Bustos Thomas Bustos on LinkedIn - https://www.linkedin.com/in/thomasbustos/  Let’s Talk AI - https://thomasbustos.substack.com/  Let’s Talk AI on YouTube - https://www.youtube.com/@lets-talk-ai  Let’s Talk AI on Spotify - https://open.spotify.com/show/6mVjFvdEkZDCTXpIuuSLAP Hosted on Ausha. See ausha.co/privacy-policy for more information.

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    17 min
  • The AI Productivity Boom Finally Shows Up

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    8

    The AI Productivity Boom Finally Shows Up

    For years, AI felt transformative in anecdotes but invisible in macroeconomic data. That may be changing. Revised labor statistics suggest stronger-than-expected productivity growth despite weaker hiring, raising the possibility that the long-anticipated AI productivity surge is finally appearing in national numbers. In the headlines: Anthropic’s clash with the Pentagon, Alibaba’s latest model release, Hollywood’s AI panic, and Apple teases a March event. Want to build with OpenClaw? LEARN MORE ABOUT CLAW CAMP: ⁠https://campclaw.ai/⁠ Or for enterprises, check out: ⁠https://enterpriseclaw.ai/⁠ Brought to you by: KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠https://blitzy.com/⁠⁠ Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠ AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/ Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring the show? sponsors@aidailybrief.ai

    -2 j

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    26 min
  • Seedance 2.0: Moving From AI Video Generation to Cinematic Intelligence

    -2 J

    9

    Seedance 2.0: Moving From AI Video Generation to Cinematic Intelligence

    In this episode of Artificial Intelligence: Papers and Concepts, we explore Seedance 2.0, the next evolution of ByteDance's video foundation model designed to push AI-generated storytelling closer to real cinematic production. Building on earlier advances, Seedance 2.0 focuses on stronger motion consistency, improved instruction understanding, and the ability to maintain narrative coherence across longer video sequences - addressing many of the limitations that held back first-generation AI video systems. We break down how large-scale multimodal training and new generation techniques help the model produce more realistic scenes, smoother transitions, and better alignment with creative prompts. If you're interested in generative video, multimodal foundation models, or the future of AI-powered filmmaking, this episode explains why Seedance 2.0 represents a significant step toward truly controllable and production-ready video AI. Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or  visit us at https://bigvision.ai

    -2 j

    •
    10 min
  • Ep 715: OpenAI's OpenClaw Acquisition And Anthropic's Disastrous 2026

    -3 J

    10

    Ep 715: OpenAI's OpenClaw Acquisition And Anthropic's Disastrous 2026

    Yeah, you prolly saw the news: OpenAI acquihired OpenClaw. 🦞 But what you probably didn't see/read/notice: this will completely change the agent landscape and Anthropic's fumbling of the original Clawdbot could be a misstep that costs them billlllllions. Get the full, #HotTakeTuesday breakdown LIVE.  OpenAI's OpenClaw Acquisition And Anthropic's Disastrous 2026 -- An Everyday AI Chat with Jordan Wilson Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join 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 lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: OpenAI Acquihires OpenClaw and FounderOpenClaw's Viral Open Source Agent ImpactAnthropic's Legal Threats and Trademark DisputeDeveloper Migration from Claude to OpenAIOpenClaw's Role in 2026 AI IPO RaceOpenClaw Default Model Change: Claude to GPTAnthropic's Reputation Crisis and PR FalloutDeveloper API Usage Trends: OpenRouter DataAnthropic Super Bowl Ad ControversyPentagon Supply Chain Risk Label for Anthropic Timestamps: 00:00 OpenAI Acquires OpenClaw: Impacts 03:50 "Anthropic's Fumble, OpenAI's Gain" 07:10 "OpenClaw's Naming Saga" 10:57 "Codex's Brilliance and AI's Future" 13:57 Open Source Models' Growing Appeal 20:48 OpenClaw Impact on AI Models 21:55 "OpenRouter API Usage Insights" 27:58 AI Shifts: Cloud Opus vs Anthropic 31:40 "OpenAI's Momentum Over Anthropic" 32:58 "AI Predictions & Trends" Keywords:  OpenClaw, Open AI, OpenAI OpenClaw acquisition, OpenClaw acquihire, Open source autonomous agent, AI agent, AI agents, Personal agents, Agentic capabilities, Multi-agent systems, Developer attention, Developer loyalty, Developer sentiment, Anthropic, Claude AI, Claude bot, Claude cowork, Claude code, Anthropic lawyer threats, Claude API, 2026 AI IPO race, Developer influence, Agent ecosystem, Chrominium, Chrome and Chromium relationship, Codex model, Codex 5.3, Codex CLI, Open source community, GitHub stars, Viral open source project, Model agnostic agents, API usage, OpenRouter, 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 access all episodes there: StartHereSeries.com

    -3 j

    •
    35 min

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