The Daily AI Show

The Daily AI Show Crew - Brian, Beth, Jyunmi, Andy, Karl, and Eran

The Daily AI Show is a panel discussion hosted LIVE each weekday at 10am Eastern. We cover all the AI topics and use cases that are important to today's busy professional. No fluff. Just 45+ minutes to cover the AI news, stories, and knowledge you need to know as a business professional. About the crew: We are a group of professionals who work in various industries and have either deployed AI in our own environments or are actively coaching, consulting, and teaching AI best practices. Your hosts are: Brian Maucere Beth Lyons Andy Halliday Eran Malloch Jyunmi Hatcher Karl Yeh

  1. 22 HR AGO

    AI Arrests, Poe’s Comeback, and the Future of AI Work

    Brian and Andy opened the October 14th episode discussing major AI headlines, including a criminal case solved using ChatGPT data, new research on AI alignment and deception, and a closer look at Anduril’s military-grade AR system. The episode also featured deep dives into ChatGPT Pulse, NotebookLM’s Nano Banana video upgrade, Poe’s surprising comeback, and how fast AI job roles are evolving beyond prompt engineering. Key Points Discussed Law enforcement used ChatGPT logs and image history to arrest a man linked to the Palisade fires, sparking debate on privacy versus accountability. Anthropic and the UK AI Security Institute found that only 250 poisoned documents can alter a model’s behavior, raising data alignment concerns. Stanford research revealed that models like Llama and Qwen “lie” in competitive scenarios, echoing human deception patterns. Anduril unveiled “Eagle Eye,” an AI-powered AR helmet that connects soldiers and autonomous systems on the battlefield. Brian noted the same tech could eventually save firefighters’ lives through improved visibility and situational awareness. ChatGPT Pulse impressed Karl with personalized, proactive summaries and workflow ideas tailored to his recent client work. The hosts compared Pulse to having an AI executive assistant that curates news, builds workflows, and suggests new automations. Microsoft released “Edge AI for Beginners,” a free GitHub course teaching users to deploy small models on local devices. NotebookLM added Nano Banana, giving users six new visual templates for AI-generated explainer videos and slide decks. Poe (by Quora) re-emerged as a powerful hub for accessing multiple LLMs—Claude, GPT-5, Gemini, DeepSeek, Grok, and others—for just $20 a month. Andy demonstrated GPT-5 Codex inside Poe, showing how it analyzed PRDs and generated structured app feedback. The panel agreed that Poe offers pro-level models at hobbyist prices, perfect for experimenting across ecosystems. In the final segment, they discussed how AI job titles are evolving: from prompt engineers to AI workflow architects, agent QA testers, ethics reviewers, and integration designers. The group agreed the next generation of AI professionals will need systems analysis skills, not just model prompting. Universities can’t keep pace with AI’s speed, forcing businesses to train adaptable employees internally instead of waiting for formal programs. Timestamps & Topics 00:00:00 💡 Intro and show overview 00:02:14 🔥 ChatGPT data used in Palisade fire investigation 00:06:21 ⚙️ Model poisoning and AI alignment risks 00:08:44 🧠 Stanford finds LLMs “lie” in competitive tasks 00:12:38 🪖 Anduril’s Eagle Eye AR helmet for soldiers 00:16:30 🚒 How military AI could save firefighters’ lives 00:17:34 📰 ChatGPT Pulse and personalized workflow generation 00:26:42 💻 Microsoft’s “Edge AI for Beginners” GitHub launch 00:29:35 🧾 NotebookLM’s Nano Banana video and design upgrade 00:33:15 🤖 Poe’s revival and multi-model advantage 00:37:59 🧩 GPT-5 Codex and cross-model PRD testing 00:41:04 💬 Shifting AI roles and skills in the job market 00:44:37 🧠 New AI roles: Workflow Architects, QA Testers, Ethics Leads 00:50:03 🎓 Why universities can’t keep up with AI’s speed 00:56:43 🏁 Closing thoughts and show wrap-up The Daily AI Show Co-Hosts: Andy Halliday, Brian Maucere, and Karl Yeh

    1 hr

  2. 1 DAY AGO

    Perplexity Email Demo, Gemini 3, n8n’s $2.5B Boom, and Neuralink’s Future

    Brian, Andy, and Karl discussed Gemini 3 rumors, Neuralink’s breakthrough, N8n’s $2.5B valuation, Perplexity’s new email connector, and the growing risks of shadow AI in the workplace. Key Points Discussed Gemini 3 may launch October 22 with multimodal upgrades and new music generation features. AI model progress now depends on connectors, cost control, and real usability over benchmarks. Neuralink’s first patient controlled a robotic arm with his mind, showing major BCI progress. N8n raised $180M at a $2.5B valuation, proving demand for open automation platforms. Meta is offering billion-dollar equity packages to lure top AI talent from rival labs. An EY report found AI improves efficiency but not short-term financial returns. Perplexity added Gmail and Outlook integration for smarter email and calendar summaries. Microsoft Copilot still leads in deep native integration across enterprise systems. A new study found 77% of employees paste company data into public AI tools. Most companies lack clear AI governance, risking data leaks and compliance issues. The hosts agreed banning AI is unrealistic; training and clear policies are key. Investing $3K–$4K per employee in AI tools and education drives long-term ROI. Timestamps & Topics 00:00:00 💡 Intro and news overview 00:01:31 🤖 Gemini 3 rumors and model evolution 00:11:13 🧠 Neuralink mind-controlled robotics 00:14:59 ⚙️ N8n’s $2.5B valuation and automation growth 00:23:49 📰 Meta’s AI hiring spree 00:27:36 💰 EY report on AI ROI and efficiency gap 00:30:33 📧 Perplexity’s new Gmail and Outlook connector 00:43:28 ⚠️ Shadow AI and data leak risks 00:55:38 🎓 Why training beats restriction in AI adoption The Daily AI Show Co-Hosts: Andy Halliday, Brian Maucere, and Karl Yeh

    1h 2m
  3. The Mirror World Conundrum

    4 DAYS AGO

    The Mirror World Conundrum

    In the near future, cities will begin to build intelligent digital twins. AI systems that absorb traffic data, social media, local news, environmental sensors, even neighborhood chat threads. These twins don’t just count cars or track power grids; they interpret mood, predict unrest, and simulate how communities might react to policy changes. City leaders use them to anticipate problems before they happen: water shortages, transit bottlenecks, or public outrage. Over time, these systems could stop being just tools and start feeling like advisors. They would model not just what people do, but what they might feel and believe next. And that’s where trust begins to twist. When an AI predicts that a tax change will trigger protests that never actually occur, was the forecast wrong, or did its quiet influence on media coverage prevent the unrest? The twin becomes part of the city it’s modeling, shaping outcomes while pretending to observe them. The conundrum: If an AI model of a city grows smart enough to read and guide public sentiment, does trusting its predictions make governance wiser or more fragile? When the system starts influencing the very behavior it’s measuring, how can anyone tell whether it’s protecting the city or quietly rewriting it?

    17 min

  4. 4 DAYS AGO

    Building AI Solutions In Lovable Cloud

    On the October 10th episode, Brian and Andy held down the fort for a focused, hands-on session exploring Google’s new Gemini Enterprise, Amazon’s QuickSuite, and the practical steps for building AI projects using PRDs inside Lovable Cloud. The show mixed news about big tech’s enterprise AI push with real demos showing how no-code tools can turn an idea into a working product in days. Key Points Discussed Google Gemini Enterprise Launch: Announced at Google’s “Gemini for Work” event. Pitched as an AI-powered conversational platform connecting directly to company data across Google Workspace, Microsoft 365, Salesforce, and SAP. Features include pre-built AI agents, no-code workbench tools, and enterprise-level connectors. The hosts noted it signals Google’s move to be the AI “infrastructure layer” for enterprises, keeping companies inside its ecosystem. Amazon QuickSuite Reveal: A new agentic AI platform designed for research, visualization, and task automation across AWS data stores. Works with Redshift, S3, and major third-party apps to centralize AI-driven insights. The hosts compared it to Microsoft’s Copilot and predicted all major players would soon offer full AI “suites” as integrated work ecosystems. Industry Trend: Andy and Brian agreed that employees in every field should start experimenting with AI tools now. They discussed how organizations will eventually expect staff to work alongside AI agents as daily collaborators, referencing Ethan Mollick’s “co-intelligence” model. Moral Boundaries Study: The pair reviewed a new paper analyzing which jobs Americans think are “morally permissible” to automate. Most repugnant to replace with AI: clergy, childcare workers, therapists, police, funeral attendants, and actors. Least repugnant: data entry, janitors, marketing strategists, and cashiers. The hosts debated empathy, performance, and why humans may still prefer real creativity and live performance over AI replacements. PRD (Project Requirements Document) Deep Dive: Andy demonstrated how ChatGPT-5 helped him write a full PRD for a “Life Chronicle” app — a long-term personal history collector for voice and memories, built in Lovable. The model generated questions, structured architecture, data schema, and even QA criteria, showing how AI now acts as a “junior product manager.” Brian showed his own PRD-to-build example with Hiya AI, a sales personalization app that automatically generates multi-step, research-driven email sequences from imported leads. Built entirely in Lovable Cloud, Hiya AI integrates with Clay, Supabase, and semantic search, embedding knowledge documents for highly tailored email creation. Lessons Learned: Brian emphasized that good PRDs save time, money, and credits — poorly planned builds lead to wasted tokens and rework. Lovable Cloud’s speed and affordability make it ideal for early builders: his app cost under $25 and 10 hours to reach MVP. Andy noted that even complex architectures are now possible without deep coding, thanks to AI-assisted PRDs and Lovable’s integrated Supabase + vector database handling. Takeaway: Both hosts agreed that anyone curious about app building should start now — tools like Lovable make it achievable for non-developers, and early experience will pay off as enterprise AI ecosystems mature.

    58 min

  5. 5 DAYS AGO

    AI Just Got Weird: Dead Celebrities & Robot Workers

    The October 9th episode kicked off with Brian, Beth, Andy, Karl, and others diving into a packed agenda that blended news, hot topics, and tool demos. The conversation ranged from Anthropic’s major leadership hire and new robotics investments to China’s rare earth restrictions, Europe’s billion-euro AI plan, and a heated discussion around the ethics of reanimating the dead with AI. Key Points Discussed Anthropic appointed Rahul Patil as CTO, a former Stripe and AWS leader, signaling a push toward deeper cloud and enterprise integration. The team discussed his background and how his technical pedigree could shape Anthropic’s next phase. SoftBank acquired ABB’s robotics division for $5.4 billion, reinforcing predictions that embodied AI and humanoid robotics will define the next industrial wave. Figure 3 and BMW revealed that humanoid robots are already working inside factories, signaling a turning point from research to real-world deployment. China’s Ministry of Commerce announced restrictions on rare earth mineral exports essential for chipmaking, threatening global supply chains. The move was seen as retaliation against Western semiconductor sanctions and a major escalation in the AI chip race. The European Commission launched “Apply AI,” a €1B initiative to reduce reliance on U.S. and Chinese AI systems. The hosts questioned whether the funding was enough to compete at scale and drew parallels to Canada’s slow-moving AI strategy. Karl and Brian critiqued government task forces and surveys that move slower than industry innovation, warning that bureaucratic drag could cost Western nations their AI lead. The group debated OpenAI’s Agent Kit, noting that while social media dubbed it a “Zapier killer,” it’s really a developer-focused visual builder for stable agentic workflows, not a low-code replacement for automation platforms like Make or n8n. Sora 2’s viral growth surpassed 630,000 downloads in its first week—outpacing ChatGPT’s 2023 app launch. Sam Altman admitted OpenAI underestimated user demand, prompting jokes about how many times they can claim to be “caught off guard.” Hot Topic: “Animating the Dead.” The hosts debated the ethics of using AI to recreate deceased figures like Robin Williams, Tupac, Bob Ross, and Martin Luther King Jr. Zelda Williams publicly condemned AI recreations of her father. The panel explored whether such digital revivals honor legacies or exploit them. Brian and Beth compared parody versus deception, questioning if realistic revivals should fall under name, image, and likeness laws. Andy raised the concern of children and deepfakes, noting how blurred lines between imagination and reality could cause harm. Brian tied it to AI-driven scams, where cloned voices or videos could emotionally manipulate parents or families. The Daily AI Show Co-Hosts: Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh

    53 min

  6. 6 DAYS AGO

    Gemini Computer Use, GPT-5 Breakthrough, and AI on Trial

    The October 8th episode focused on Google’s Gemini 2.5 “Computer Use” model, IBM’s new partnership with Anthropic, and the growing tension between AI progress and copyright law. The hosts also explored GPT-5’s unexpected math breakthrough, a new Nobel Prize connection to Google’s quantum team, and creators like MrBeast and Casey Neistat voicing fears about AI-generated video platforms such as Sora 2. Key Points Discussed Google’s Gemini 2.5 Computer Use model lets AI agents read screens and perform browser actions like clicks and drags through API preview, showing precision pixel control and parallel action capabilities. The hosts tested it live, finding it handled pop-ups and ticket searches surprisingly well but still failed on multi-step e-commerce tasks. Discussion highlighted that future systems will shift from pixel-based browser control to Document Object Model (DOM)-level interactions, allowing faster and more reliable automation. IBM and Anthropic partnered to embed Claude Code directly into IBM’s enterprise IDE, making AI-first software development more secure and compliant with standards like HIPAA and GDPR. The panel discussed the shift from SDLC to ADLC (Agentic Development Lifecycle) as enterprises integrate AI agents into core workflows. GPT-5 Pro solved a deep unsolved math problem from the Simons list, proving a counterexample humans couldn’t. OpenAI now encourages scientists to share discoveries made through its models. Google Quantum AI leaders were connected to the year’s Nobel Prize in Physics, awarded for foundational work in quantum tunneling—proof that quantum behavior can be engineered, not just observed. MrBeast and Casey Neistat warned of AI-generated video saturation after Sora 2 hit #1 on the App Store, questioning how human creativity can stand out amid automated content. The Hot Topic tackled the expanding wave of AI copyright lawsuits, including two major rulings against Anthropic: one over book training data ($1.5 billion fine) and another from music publishers over lyric reproduction. The hosts debated whether fines will meaningfully slow companies or just become a cost of doing business, likening penalties to “Jeff Bezos’ hedge fines.” Discussion turned philosophical: can copyright even survive the AI era, or must it evolve into “data rights”—where individuals own and license their personal data via decentralized systems? The episode closed with a Tool Share on Meshi AI, which turns 2D images into 3D models for artists, game designers, and 3D printers, offering an accessible entry into modeling without using Blender or Maya. Timestamps & Topics 00:00:00 💡 Gemini 2.5 Computer Use and API preview 00:04:09 🧠 Pixel precision, parallel actions, and test results 00:10:21 🔍 Future of DOM-based automation 00:13:22 🏢 IBM + Anthropic partner on enterprise IDE 00:15:29 ⚙️ ADLC: Agentic Development Lifecycle 00:17:39 🔢 GPT-5 Pro solves deep math problem 00:19:10 🧪 AI in science and OpenAI outreach 00:19:28 🏆 Google Quantum team ties to Nobel Prize 00:22:17 🎥 MrBeast and Casey Neistat react to Sora 2 00:25:11 ⚖️ Copyright lawsuits and AI liability 00:28:41 💰 Anthropic fines and the cost-of-doing-business debate 00:31:36 🧩 Data ownership, synthetic training, and legal gaps 00:37:58 📜 Copyright history, data rights, and new systems 00:42:01 💬 Public good vs private control of AI training 00:44:46 🧰 Tool Share: Meshi AI image-to-3D modeling 00:50:18 🕹️ Rigging, rendering, and limitations 00:52:59 💵 Pricing tiers and credits system 00:55:07 🚀 Preview of next episode: “Animating the Dead” The Daily AI Show Co-Hosts: Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh

    56 min

  7. 7 OCT

    DevDay Agents, Apps, and AI Chaos

    Beth Lyons and Andy Halliday opened the October 7th episode with a discussion on OpenAI’s Dev Day announcements. The team broke down new updates like the Agent Kit, Chat Kit, and Apps SDK, explored their implications for enterprise users, and debated how fast traditional businesses can adapt to the pace of AI innovation. OpenAI’s Dev Day recap highlighted the new Agent Kit, which includes Agent Builder, Chat Kit, and Apps SDK. The updates bring live app integrations into ChatGPT, allowing direct use of tools like Canva, Spotify, Zillow, Coursera, and Booking.com. Andy noted that these features are enterprise-focused for now, enabling organizations to create agent workflows with evaluation and reinforcement loops for better reliability. The hosts discussed the App SDK and connectors, explaining how they differ. Apps add interactive UI experiences inside ChatGPT, while connectors pull or push data from external systems. Carl shared how apps like Canva or Notion work inside ChatGPT but questioned which tools make sense to embed versus use natively, emphasizing that utility depends on context. A new mobile discovery revealed that users can now drag and drop videos into the iOS ChatGPT app for audio transcription and video description directly in the thread. The team covered Anthropic’s partnership with Deloitte, rolling out Claude to 470,000 employees globally—an ironic twist after Deloitte’s earlier $440K refund to the Australian government over an AI-generated report error. Carl raised a “hot topic” on AI adoption speed, explaining how enterprise security, IT processes, and legacy systems slow down innovation despite clear productivity benefits. The discussion explored why companies struggle to run AI pilots effectively and how traditional change management models cannot keep pace with AI’s speed of evolution. Beth and Carl emphasized that real transformation requires AI-centric workflows, not just automation layered on top of outdated systems. Andy reflected on how leadership and systems analysts used to drive change but said the next era will rely on machine-driven process optimization, guided by AI rather than human consultants. The hosts closed by showcasing Sora’s new prompting guide and Beth’s creative product video experiments, including her “Frog on a Log” ad campaign inspired by OpenAI’s new product video examples. Timestamps & Topics 00:00:00 💡 Welcome and Dev Day recap intro 00:02:19 🧠 Agent Kit and enterprise workflow reliability 00:04:08 ⚙️ Chat Kit, Apps SDK, and live demo integration 00:06:12 🌍 Partner apps: Expedia, Booking, Canva, Coursera, Spotify 00:08:10 💬 App SDK vs connectors explained 00:12:00 🎨 Canva and Notion inside ChatGPT: real value or novelty? 00:16:07 📱 New iOS feature: drag and drop video for transcription 00:19:18 🤝 Anthropic’s deal with Deloitte and industry reactions 00:20:08 💼 Deloitte’s redemption after AI report controversy 00:21:26 🔥 Hot Topic: enterprise AI adoption speed 00:25:17 🧩 Legacy security vs AI transformation challenges 00:28:20 🧱 Why most AI pilots fail in corporate settings 00:29:39 🧮 Sandboxes, test environments, and workforce transition 00:31:26 ⚡ Building AI-first business processes from scratch 00:33:38 🏗️ Full-stack AI companies vs legacy enterprises 00:36:49 🧠 Human behavior, habits, and change resistance 00:38:40 👔 How companies traditionally manage transformation 00:40:56 🧭 Moving from consultants to AI-driven system design 00:42:42 💰 Annual budgets, procurement cycles, and AI agility 00:44:15 🚫 Why long-term tool contracts are now a liability 00:45:05 🎬 Tool share: Sora API and prompting guide demo 00:47:37 🧸 Beth’s “Frog on a Log” and AI product ad experiments 00:50:54 🧵 Custom narration and combining Nano Banana + Sora 00:52:17 🚀 Higgs Field’s watermark-free Sora and creative tools 00:53:16 🎙️ Wrap up and new show format reminder

    54 min

  8. 7 OCT

    Leaked: OpenAI’s Agent Builder, Jony Ive’s AI Device, and Deloitte’s $440K Mistake

    The October 6th episode of The Daily AI Show marked the debut of a new segmented format designed to keep the show more current and interactive. The hosts opened with OpenAI’s Dev Day anticipation, discussed breaking AI industry stories, tackled a “Hot Topic” on human–AI relationships, and ended with a live demo of Gen Spark’s new “mixture of agents” feature. Key Points Discussed The team announced The Daily AI Show’s new segmented structure, including roundtable news, hot topics, and live tool demos. The main story was OpenAI’s Dev Day, where the long-rumored Agent Builder was expected to launch. Leaked screenshots showed sticky-note style interfaces, model context protocol (MCP) integration, and drag-and-drop workflows. Brian emphasized that if the leaks were true, Agent Builder would be a major turning point for enterprise automation, bridging the gap between “assistants” and full “agent workflows.” Andy explained that the release could help retain business users inside ChatGPT by letting them build automations natively, similar to n8n but within OpenAI’s ecosystem. Other OpenAI news included the Jony Ive-designed consumer AI device — a screenless, palm-sized, audio-visual assistant still in development — and OpenAI’s acquisition of ROI, an AI-powered personal finance app. Carl highlighted a separate headline: Deloitte refunded $440,000 to the Australian government after errors were found in a report generated with AI that contained fabricated citations. The group discussed accountability and how AI should be used in professional consulting, along with growing client pressure to pass along “AI efficiency” savings. Andy introduced the “Hot Topic” — whether people should commit to one AI assistant (monogamy) or use many (polyamory). The hosts debated trust, convenience, and cost across systems like ChatGPT, Claude, Gemini, and Perplexity. The conversation expanded into vendor lock-in, interoperability, and the growing need for cross-agent collaboration. Brian and Carl both argued for an open, flexible approach, while Andy made a case for loyalty due to accumulated context and memory. The demo segment showcased Gen Spark’s new “mixture of agents” feature, which runs the same prompt across multiple models (GPT-5, Claude 4.5, Gemini 2.5, and Grok), compares the results, and creates a unified reflection response. The team discussed how this approach could reduce hallucinations, accelerate research, and foreshadow future AI systems that blend reasoning across multiple LLMs. Other tools mentioned included Abacus AI’s new “Super Agent” for $10/month and 11Labs’ new workflow builder for voice-based automations. Timestamps & Topics 00:00:00 💡 Intro and new segmented format announcement 00:02:01 📰 OpenAI Dev Day preview and Agent Builder leaks 00:05:28 ⚙️ MCP integration and business workflow implications 00:08:08 📱 Jony Ive’s screenless AI device and design challenges 00:10:08 💰 OpenAI acquires ROI personal finance app 00:16:20 🧾 Deloitte refunds Australia after AI-generated report errors 00:18:40 ⚖️ AI accountability and client expectations for cost savings 00:22:18 🔥 Hot Topic: Monogamy vs polyamory with AI assistants 00:25:18 💬 Trust, data portability, and switching costs 00:31:26 🧩 Vendor lock-in and fast-changing tool landscape 00:36:04 💸 Cost of multi-subscriptions vs single platform 00:37:47 🧰 Tool Demo: Gen Spark’s mixture of agents 00:39:41 🤖 Multi-model aggregation and reflection analysis 00:42:08 🧠 Hallucination reduction and model reasoning blend 00:46:10 🧮 AI workflow orchestration and future agent ecosystems 00:47:44 🎨 Multimodal AI fragmentation and Higgs Field example 00:50:35 📦 Pricing for Gen Spark and Abacus AI compared 00:52:31 📣 Community hub and Q&A segment preview The Daily AI Show Co-Hosts: Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh

    53 min
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About

The Daily AI Show is a panel discussion hosted LIVE each weekday at 10am Eastern. We cover all the AI topics and use cases that are important to today's busy professional. No fluff. Just 45+ minutes to cover the AI news, stories, and knowledge you need to know as a business professional. About the crew: We are a group of professionals who work in various industries and have either deployed AI in our own environments or are actively coaching, consulting, and teaching AI best practices. Your hosts are: Brian Maucere Beth Lyons Andy Halliday Eran Malloch Jyunmi Hatcher Karl Yeh

Information

  • Creator
    The Daily AI Show Crew - Brian, Beth, Jyunmi, Andy, Karl, and Eran
  • Years Active
    2023 - 2025
  • Episodes
    606
  • Rating
    Clean
  • Copyright
    © The Daily AI Show Crew - Brian, Beth, Jyunmi, Andy, Karl, and Eran
  • Show Website
    The Daily AI Show

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