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  • EP 567: Apple’s AI Challenges — What Went Wrong with Siri?
    2025/07/15

    Apple is gonna pay their competitors to do AI for them.

    Yiiiiikes.

    A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them.

    Our take?

    You know we're bringing the fire for this #HotTakeTuesday.

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    Website: YourEverydayAI.com
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    Topics Covered in This Episode:

    1. Apple's Generative AI Struggles Analyzed
    2. Bloomberg Report on Apple's AI Plans
    3. Apple's AI Strategy Shift with Competitors
    4. Siri Development Challenges & Delays
    5. Apple's AI Failures & Class Action Lawsuits
    6. Future of Apple's AI Innovation Discussed
    7. Anthropic & OpenAI's Role in Apple's AI
    8. Apple's AI Outsourcing Strategic Impact

    Timestamps:
    00:00 "Everyday AI: Podcast & Newsletter"

    05:57 "Delayed AI Siri Release"

    09:41 Apple's AI Struggles Revealed

    10:47 "Apple's Siri Relies on ChatGPT"

    16:57 Apple Faces Costly AI Negotiations

    17:58 Amazon Partners with Anthropic for Alexa

    23:47 AI Strategy and Training Solutions

    26:39 Google and Apple's AI Divergence

    31:27 Meta Advances, Apple Lags in AI

    32:48 AI Setbacks Could Cost Apple Market Cap

    Keywords:
    Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.


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    38 分
  • EP 566: Google acquihires Windsurf, OpenAI and Perplexity go for browsers and more AI News That Matters
    2025/07/14

    Just about every big tech company made splashes in AI this week.

    ↳ Google acqui-hired a company that OpenAI failed to straight up acquire
    ↳Microsoft is investing $4 billion into AI training
    ↳ OpenAI is going after the AI browser space
    ↳ and Meta reportedly spent more than $200 million on one employee

    Sheeeeesh.

    It's been a whirlwind. Don't get left behind. We'll help you be the smartest person in AI at your company.

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    Topics Covered in This Episode:

    1. OpenAI's AI Browsers vs. Google Chrome
    2. Perplexity's Comet Browser Launch Strategy
    3. XAI's Controversial Grok4 Alignment Issues
    4. Teacher Union's AI Training Partnership
    5. Microsoft Elevate AI Training Initiative
    6. NVIDIA's $4 Trillion Market Cap Milestone
    7. Google Acqui-hires Windsurf for DeepMind
    8. Meta's $200M Apple AI Talent Acquisition

    Timestamps:
    00:00 "Everyday AI: Weekly News Recap"

    05:36 Perplexity's Comet: Agentic Browser Shift

    06:49 AI-Powered Browsing with Perplexity's Comet

    10:44 "Grok 4: Aligns with Musk's Views"

    15:37 AI Workshops for Teachers Nationwide

    18:32 Microsoft's Elevate Program: AI Access & Trust

    19:51 AI Strategy and Training Partners

    23:13 Google Hires Wind Surf Executives

    29:04 AI Updates: Claude's MCP and Google Gemini

    31:36 AI Developments: Browsers, Training, Market Moves


    Keywords:
    Google acquihire, Windsurf, OpenAI browser, Perplexity, agentic browsers, Meta superintelligence, AI news, Google Chrome dominance, ChatGPT users, Chromium, computer vision, AI agents, reservation booking, AI services, market dominance, browser wars, anthropic, Claude, Perplexity's Comet, AI powered web, conversational interface, AI assistant, natural language, OpenAI's GPT, anthropic claw, Grok four, XAI, Elon Musk AI, AI benchmarks, content moderation, Grok controversy, AI alignment, TechCrunch, contentious questions, AI partnerships, educational AI, American Federation of Teachers, Microsoft Copilot, Microsoft funding, ethical AI, Elevate Academy, NVIDIA market cap, AI chips, Google DeepMind, AI coding, Apple AI executive, AI metrics, Anthropic, Microsoft layoffs.

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    34 分
  • EP 565: OpenAI’s Agentic Browser: Is this the future of content consumption?
    2025/07/11

    🚨 Breaking News -- OpenAI is building an agnetic browser.

    And we're getting the inside scoop from the reporter who broke the exclusive story.

    Join us as we chat with Krystal Hu, Startup and AI Reporter at Reuters on the details of the ChatGPT-powered browser that will execute tasks on your behalf.

    Even juicier?

    They're teaming up with a major frenemy to make it all happen.

    Don't miss this show as we cover not just that, but if a website-less future could actually be a thing and how it will impact how we consume content.


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    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
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    Topics Covered in This Episode:

    1. OpenAI's Agentic Browser Development
    2. Perplexity's Comet Browser Expansion
    3. Browser Wars: Summer 2024 Edition
    4. Agentic Browsing Impact on Content Consumption
    5. Economic Effects on Internet Ecosystem
    6. Challenges for Publishers with AI Browsers
    7. Google and OpenAI's Evolving Relationship
    8. Future of AI in Enterprise Usage


    Timestamps:
    00:00 Agentic Browsers Surge

    05:33 "Summer Browser Wars with OpenAI"

    08:28 AI's Impact on Journalism

    11:38 Evolving Internet User Experience

    14:09 OpenAI Browser: Enhanced AI Features

    17:02 Browser as a Full-Service Interface

    20:51 AI Frenemies: Google vs. OpenAI Dynamics

    26:03 AI's Evolving Impact on Jobs

    27:31 "Following AI Stories & News"


    Keywords:
    Agentic browser, OpenAI, Perplexity Comet browser, startups, content consumption, AI models, ChatGPT, weekly active users, Chrome, chat interface, Internet browsing, browser wars, browser market, Google, Google Cloud, content creators, publishers, traffic, Cloudflare, AI training data, licensing deals, service providers, API, operator, agentic actions, commands, technology adoption, large language models, partnerships, competition dynamics, Microsoft, Google Chrome, browser experience, Internet ecosystem, distribution channels, enterprise market, user adoption, Internet experience, reasoning and math problems, technical engineering jobs, technology insights, AI development, societal impact, tech insiders.

    EP 565: OpenAI’s Agent

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    30 分
  • Ep 564: Dr. Ben Goertzel: The Road to Creating Benevolent Decentralized AGI
    2025/07/10

    What's at stake for humanity amid the arms race to AGI?

    Dr. Ben Goertzel should know. He legit coined the term AGI. 🤖

    The legendary AI leader is sounding the alarm: leaving Artificial General Intelligence in corporate or military hands could plunge humanity into chaos.

    Ben joins Everyday AI to reveal the high-stakes gamble we're making with AGI, why decentralized control is our last shot at sanity, and how our actions right now could mean the difference between utopia and disaster.

    No biggie, right? lolz.

    Join us to find out:

    ↳ Why Big Tech AGI could lead to global instability
    ↳ How Decentralized AI as the ONLY path away from catastrophe
    ↳ How you can shape AI's explosive trajectory—today

    Stop scrolling. Listen, or regret it later.


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    Website: YourEverydayAI.com
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    Topics Covered in This Episode:

    1. Decentralized AGI Development Challenges
    2. Ensuring AGI Benefits Society
    3. Definition Evolution of Artificial General Intelligence
    4. Historical Context of AGI Development
    5. Human-Level AGI vs Superintelligence
    6. AGI Impact on Global Geopolitics
    7. Ethical Concerns with AGI Development
    8. AGI's Role in Education & Longevity


    Timestamps:
    00:00 "Ensuring AGI Benefits Everyone"

    03:23 Rethinking AI for Human Benefit

    06:35 "Decentralized AI through Internet Protocols"

    10:52 Defining AGI's Mathematical Vagueness

    14:29 "Humans: The Minimum Intelligence Threshold"

    17:56 "Achieving AI ROI Made Simple"

    22:11 "Path to Benevolent Superintelligence"

    25:50 AGI Arms Race: US vs. China

    27:24 AGI Development and Global Power Dynamics

    32:07 AI Enhancing Education for Dyslexics

    34:23 AI Tools: Dual-Use for Data Analysis

    37:34 "Empowering Participation in AI Future"


    Keywords:
    Artificial General Intelligence, AGI, decentralized AI, benevolent decentralized AGI, SingularityNET, Ben Goertzel, human-level AGI, superintelligence, AI for human benefit, AI ethics, AI arms race, AI development, AI systems, AI and geopolitics, AI and military use, AI in medicine, AI in education, AI and intelligence explosion, time to fume, LLMs, large language models, machine reasoning, evoluti

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    40 分
  • Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time
    2025/07/09

    Think you know ChatGPT's custom GPTs? 🤔

    Probably not.

    Last week, we tackled the basics and what's new with OpenAI's refreshed GPTs.

    For this AI Working Wednesdays episode, we're getting into some advanced techniques to hep you win back time.

    ↳ using the crazy powerful o3 model to your GPT's advantage
    ↳ context stacking
    ↳ custom actions to connect to third party sites

    Yeah.... don't sleep on this one shorties.

    Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time

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    Website: YourEverydayAI.com
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    Topics Covered in This Episode:

    1. Custom GPTs: Advanced Techniques Overview
    2. OpenAI's Context Stacking Strategy
    3. O3 Model's Thinking Capabilities
    4. Building Efficient Custom GPTs
    5. Custom Actions and API Integration
    6. Zapier Integration for Dynamic Data
    7. ChatGPT's Context Window Management
    8. Creating Evergreen Podcast Content


    Timestamps:
    00:00 Custom GPTs: Evolution and Insights

    03:23 "Mastering GPT Context Stacking"

    09:31 "Context Stacking in Chat GPT"

    11:20 GPT Context Switching Advantage

    15:33 Customizable GPT Usage Explained

    19:51 Evergreen Episode Update Strategy

    21:44 Optimizing AI for Continued Learning

    23:48 "O-Series Models: Advanced AI Capabilities"

    28:41 Building GPTs for Episode Research

    30:03 GPT Model Customization and Sharing

    33:18 Securing API Keys in GPTs

    36:55 Zapier Enhances GPT Email Capabilities

    42:12 "Use Chrome Extensions for Tokens"

    43:48 "AI at Work Wednesdays Survey"


    Keywords:
    OpenAI's custom GPTs, advanced techniques, save time, context stacking, o three model, ChatGPT updates, logic and reasoning, plan ahead capabilities, agentic tools, custom actions, third party data, API, building GPTs, leveraging AI, context window, transformer model, generative AI, organization usage, fine tuning performance, productivity enhancement, AI agents, AI tools integration, custom configuration, everyday applications, tech strategies, new rendition, midweek break, AI experts, smarter AI usage, AI-powered planning, AI transformations.


    Ep 563:

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    47 分
  • EP 562: How Will New Grads Get a Job with AI? What You Need to Know
    2025/07/08

    The unemployment rate for recent grads? 📉

    At an all-time high because of AI.

    A new study shows that almost 6% of recent college grads in the U.S. are unemployed, the highest rate since 2021 outside of the pandemic.

    The main reason: companies are leveraging AI instead of hiring new employees.

    ↳ What do you need to know?
    ↳ How can students get the experience in AI that employers desperately want?
    ↳ Should employers be hiring recent grads, whose colleges likely banned AI?

    EP 562: How Will New Grads Get a Job with AI? What You Need to Know

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    Topics Covered in This Episode:

    1. AI's Impact on Graduate Unemployment
    2. University AI Skills Gap
    3. Corporate AI Quiet Firing Trend
    4. Future Workforce and AI Integration
    5. Structural Collapse in Entry-Level Hiring
    6. Greedy Fortune 500 CEO Practices
    7. Transformation in Knowledge Work
    8. Parental Actions for AI Education


    Timestamps:
    00:00 AI Impact on Recent Grad Jobs

    03:06 AI's Impact on Job Market

    06:09 Tech Shift Fuels Grad Unemployment

    10:25 Higher Education's Imminent Decline

    14:48 Innovation Stifled by Educational Leaders

    18:06 "Changing Employment Reality"

    21:57 Delayed Impact in Higher Education

    25:18 "Urgent Need for AI Policies"

    26:15 "Faculty: AI Literacy Resources Lacking"

    29:31 Rethinking Private Company Practices

    33:17 Embrace AI: Unlearn and Innovate

    37:43 Demand AI in Education

    42:17 AI Tools and Job Search Insights

    45:05 "Consider Transferring if AI Banned"

    47:23 Call Out Corporate Greed


    Keywords:
    AI unemployment, recent grads, Oxford Economics study, AI skills, universities banning AI, quiet firing, entry-level job crisis, structural shift, tech sector, workforce future, economic wheel, AI job displacement, societal shift, business leaders, recent college graduates, job placement rate, higher education, greedy CEOs, job prospects, new jobs creation, AI literacy, knowledge commoditization, generalist skills, private companies, public company playbook, baby boomer exit, silver tsunami, IP unlearning, micro credentialing, AI policy, employment prospects, Federal Reserve, slowing economy, accelerating inflation, job search shifting, higher education failure, educational leaders, business professionals, actionable information, thrive in job market, company growth, generative AI for growth, zig-zag opportunity, commoditized knowledge work, AI collaboration, recent grad card, parents' role in AI educati

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    50 分
  • EP 561: Meta’s new AI lab, OpenAI hit with huge copyright blow, AI’s impact on content publishers and more. AI News that Matters
    2025/07/07

    Meta just announced the legit Dream Team of AI. 🥇

    That's got OpenAI scrambling.... but getting top talent poached is the least of their worries after a recent copyright case ruling. 🧑‍⚖️

    And publishers might be able to better protect their content from LLMs, but it might make us all a little dumber. 🫤

    Meta’s new AI lab, OpenAI hit with huge copyright blow, AI’s impact on content publishers and more -- An Everyday AI Chat with Jordan Wilson

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    Topics Covered in This Episode:

    1. Meta's AI Talent Recruitment and OpenAI's Response
    2. Meta's AI Chatbots Sending Unsolicited Messages
    3. Apple's AI Partnership with Anthropic and OpenAI for Siri
    4. CloudFlare Blocking AI Crawlers by Default
    5. US Senate's Rejection of AI Regulation Ban on State Level
    6. OpenAI's Legal Battle with New York Times Over User Logs
    7. Impact of Google's AI Overview on US News Sites' Traffic
    8. OpenAI's Enterprise Consulting Efforts Charging $10M Minimum
    9. Meta's Formation of AI Dream Team: Meta Superintelligence Labs


    Timestamps:
    00:00 OpenAI vs. Meta's AI Talent War

    06:27 Meta's Project Omni: Proactive AI Chatbots

    08:55 AI Personalization: Business Communication Strategy

    13:27 CloudFlare Blocks AI Scrapers, Enables Pay Model

    17:15 AI Regulation and CloudFlare Insights

    18:26 Senate Preserves State AI Powers

    22:03 Media Hype Over Unfinished Legislation

    27:21 "Challenges in AI Copyright Cases"

    28:13 AI Hits News Site Traffic Hard

    33:40 Meta Launches Superintelligence Labs (MSL)

    36:44 Meta's AI Gamble with Cash

    40:51 AI Developments and Legal Challenges Overview

    42:05 Meta Unveils AI Dream Team


    Keywords:
    Meta, AI headlines, OpenAI, large language models, Cloudflare, AI news, everyday business leaders, Sam Altman, AI talent raid, superintelligence team, compensation review, Mark Zuckerberg, emotional impact, Meta's hiring efforts, mission-driven culture, AI chatbots, unsolicited messages, Project Omni, AI Studio platform, user engagement, AI product revenue, Apple and Siri, AI privacy controls, Cloudflare blocking AI crawlers, AI training datasets, New York Times lawsuit, copyright infringement, enterprise consulting, Palantir, Met

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    44 分
  • EP 560: Inside Multi-Agentic AI: 3 Critical Risks and How to Navigate Them
    2025/07/03

    Multi-agentic AI is rewriting the future of work.... but are we racing ahead without checking for warning signs?

    Microsoft’s new agent systems can split up work, make choices, and act on their own. The possibilities? Massive.

    But it's not without risks, which is why you NEED to listen to Sarah Bird.

    She's the Chief Product Officer of Responsible AI at Microsoft and is constantly building out safer agentic AI.

    So what’s really at stake when AIs start making decisions together?
    And how do you actually stay in control?

    We’re pulling back the curtain on the 3 critical risks of multi-agentic AI and unveiling the playbook to navigate them safely.

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    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:

    1. Responsible AI: Evolution and Challenges
    2. Agentic AI's Ethical Implications
    3. Multi-Agentic AI Responsibility Shift
    4. Microsoft’s AI Governance Strategies
    5. Testing Multi-Agentic Risks and Patterns
    6. Agentic AI: Future Workforce Skills
    7. Observability in Multi-Agentic Systems
    8. Three Risk Categories in AI Implementation


    Timestamps:
    00:00 Evolving Challenges in Responsible AI

    05:50 Agent Technology: Benefits and Risks

    09:27 Complex System Governance and Observability

    12:26 AI Monitoring and Human Intervention

    15:14 Essential Testing for Trust Building

    19:43 Securing AI Agents with Entra

    22:06 Exploring Human-AI Interface Innovation

    26:06 AI Workforce Integration Challenges

    28:22 AI's Transformative Impact on Jobs


    Keywords:
    Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.

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    33 分