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    When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow, joins us to discuss how AI can enhance the legal landscape.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Evyatar questions on AI in the justice system

    Related Episode: Ep 140: How AI Will Transform The Business of Law

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Use of generative AI in the legal system
    2. Use of LLMs in the legal system
    3. AI's impact on efficiency in the legal industry

    Timestamps:
    01:20 Daily AI news
    04:35 About Evyatar and Darrow
    06:16 Challenges accessing information for lawyers
    09:27 AI efficiency movement is responsible for workload.
    10:24 AI revolutionizing legal world for success.
    16:51 Efficiency affects law firm's ability to bill.
    21:30 Improving mental health in legal profession with agility.
    26:55 Loss of online communities raises concerns about memory.
    27:58 Law firms pursuing right to be remembered.

    Keywords:
    Generative AI, Legal System, Impact, Efficiency, AI News, Perplexity AI, Ultra Accelerator Link, NVIDIA, Apple, OpenAI, Siri, GPT Technology, Evyatar Ben Artzi, Darrow, Justice Intelligence Platform, Case Analysis, Herbicides, Pesticides, Cancer Rates, Large Language Models, ChatGPT, Right to be Remembered, Internet Deletion Practices, Fortune 500 Companies, Legal Industry, Billable Hours, Strategic Thinking, Legal Development, Mental Health, Multiverse in Law.

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    Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Jim questions on GenAI

    Related Episodes:
    Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

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    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Impact of Generative AI
    2. Role of GenAI in World Wide Technology
    3. AI Adoption for Business Leaders
    4. Large Language Models and AI Impact
    5. Challenges in the Generative AI Space
    6. Organization Culture and AI Implementation

    Timestamps:
    01:30 About WWT and Jim Kavanaugh
    06:59 Connecting with users for effective AI.
    10:06 Advantage of working with NVIDIA for digital transformation.
    13:10 Discussing techniques and client example.
    18:35 CEOs implementing AI, seeking solutions.
    20:46 Creating awareness, training, and leveraging technology efficiently.
    25:27 AI increasingly important, impacts all industries' outcomes.
    27:18 Use secure, personalized language models for efficiency.
    32:32 Streamlining data access for engineers and sales.
    35:42 CEOs need to prioritize technology and innovation.
    37:02 NVIDIA is the game-changing leader.

    Keywords:
    generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process

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    If you think you know scammers, just wait.

    ↳ Voice cloning will fool the best of us.
    ↳ Deepfakes are getting sophisticated.
    ↳ Once-scammy emails now sound real.

    How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.

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    Join the discussion: Ask Jordan and Yuri questions on AI and scam detection

    Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
    Ep 202: The Holy Grail of AI Mass Adoption – Governance

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Sophistication of AI in Scams
    2. Countermeasures to Combat AI Scams
    3. Deepfakes and Their Increasing Prevalence

    Timestamps:
    01:20 Daily AI news
    04:45 About Yuri and Aura
    07:32 Growing impact of impersonation and trust hacking.
    12:35 Consumer app with state-of-the-art protection.
    13:48 New technology scans emails to protect users.
    19:36 Need for awareness of sophisticated multi-platform scams.
    20:33 Be cautious of potential multichannel scams
    26:44 Scams are getting sophisticated, AI may worsen.
    30:05 Different organizations need varying levels of security.
    31:25 Deepfakes raise concerns about truth and trust.
    34:47 It's hard to detect scam communication online.

    Keywords:
    AI Scams, Jordan Wilson, Yuri Dvoinos, Deepfakes, AI Technology, Verification System, Online Interactions, Cyberattacks, Business Security, Scam Detection, Communication Channel Verification, Language Models, AI impersonation, Small Business Scams, Scammer Automation, Aura, Message Protection Technology, Call Analysis, Email Scanning, Voice Synthesizer Technology, Multichannel Scams, 2FA, Cybersecurity Training, Digital Trust, Cybersecurity, Sophisticated Corporate Scams, OpenAI, NVIDIA, Aura Cybersecurity Company, Online Safety.

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    Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.

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    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI and jobs

    Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
    Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Elon Musk's statement and its implications
    2. Future of work with AI advancements
    3. AI's impact on human purpose and employment
    4. Job displacement and AI investment over human employment

    Timestamps:
    01:40 Daily AI news
    07:47 Exploring the implications of generative AI.
    10:45 Concerns about AI impact on future jobs
    13:20 Elon Musk's track record: genius or random?
    17:57 Twitter's value drops 72% to $12.5B.
    22:34 Elon Musk predicts 80% chance of job automation.
    25:54 AI advancements may require universal basic income.
    29:03 AI systems rapidly advancing, surpassing previous capabilities.
    32:11 Bill Gates worries about AGI's misuse.
    35:04 AI advancements foreshadowing future efficiency and capabilities.
    39:42 Ultra-wealthy and disconnected elite shaping AI future.
    43:32 AI will dominate future work, requiring adaptation.
    46:19 US government may not understand future of work.

    Keywords:
    Elon Musk, AI, XAI, funding, chatbot, Grok, OpenAI, legal battle, Apple, Siri, integration, core apps, model, capabilities, safety, speculation, future, work, Tesla, market cap, value, investor sentiment, vision, promises, performance, Viva Tech, conference, robots, job market, society, purpose.

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    Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.

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    Join the discussion: Ask Jordan questions on AI

    Related Episodes:Ep 189: The One Biggest ROI of GenAI
    Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI in Business
    2. Implementing AI
    3. AI Guidelines and Guardrails
    4. Practical Application of AI

    Timestamps:
    02:00 Daily AI news
    06:20 Experienced in growing companies of all sizes
    11:45 AI not fully implemented yet
    19:13 Generative AI changing workforce dynamics, impact discussion.
    21:32 Rapidly adapt to online business, seek guidance.
    31:19 AI guardrails and guidelines
    34:25 Companies overcomplicating generative AI, driven by peer pressure.
    37:45 Focus on measurable impact in AI projects.
    45:17 Leverage vendors and experts for AI education.
    51:48 AI may replace jobs - plan for future.
    54:48 Ethical AI implementation involves human and AI cooperation.
    01:00:42 Culmination of extensive work to simplify generative AI.

    Keywords:
    AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach, AI impact on work, Everyday AI Show

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all? Oh.... that's what we're for.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Google AI

    Related Episode: Ep 204: Google Gemini Advanced – 7 things you need to know

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Google's Updates and Announcements
    2. Google AI Evaluations
    3. Concerns Over Google's AI Development and Marketing

    Timestamps:
    01:30 Daily AI news
    05:30 What was announced at Google's I/O
    09:31 Microsoft and Google introduce AI for teams.
    12:38 AI features not available for paid accounts.
    16:12 Doubt Google's claims about their Gemini model.
    19:26 Speaker live-drew with Pixel phone, discussed code.
    22:24 Exciting city scene, impressive Vio and Astra.
    24:44 Gems and GPTs changing interactions with language models.
    29:26 Accessing advanced features requires technical know-how.
    33:45 Concerns about availability and timing of Google's features.
    36:14 Google CEO makes joke about overusing buzzwords.
    41:06 Google Gems: A needed improvement for Google Gemini.
    41:50 GPT 4 ranks 4th behind Windows Copilot.

    Keywords:
    Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.

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    To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Microsoft AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Microsoft Build Conference Key AI Features
    2. Microsoft Copilot Updates
    3. On-device AI and its future

    Timestamps:
    01:50 Startup Humane seeks sale amid product criticism.
    09:00 Using Copilot increases latency and potential errors.
    11:15 Copilot changing work with edge AI technology.
    13:51 Cloud may be more secure than personal devices.
    19:26 Recall technology may change required worker skills.
    20:24 Semantic search understands context, improving productivity.
    28:41 Impressive integration of GPT-4 in Copilot demo.
    31:41 New Copilot technology changes how we work.
    36:13 Customize and deploy AI agent to automate tasks.
    38:08 Uncertainty ahead for enterprise companies, especially Apple.
    46:09 Recap of 5 key announcements from build conference.

    Keywords:
    Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.

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    Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.

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    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits

    Related Episodes:
    Ep 105: AI in Fundraising – Building Trust with Stakeholders
    Ep 148: Safer AI – Why we all need ethical AI tools we can trust

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Timestamps:
    01:50 About Nathan and DonorSearch AI
    05:52 Decreased charity giving, AI aids nonprofit efficiency.
    09:39 AI enhances nonprofit efficiency, prioritizes human connections.
    13:35 Nonprofits need to embrace AI for advancement.
    16:22 Use AI to create engagement stories, scalable.
    18:59 Internet equalized access to computing power.
    25:02 Nonprofits rely on trust, need responsible AI.
    29:52 Ensuring trust and accountability in generative AI.
    33:35 AI is about people leveling up work.
    34:16 Daily exposure to new tech terms essential.

    Topics Covered in This Episode:
    1. Impact of Generative AI for Nonprofits
    2. Digital Divide in Nonprofit Sector
    3. Role of Trust in Nonprofits and responsible AI usage
    4. Traditional Fundraising vs. generative AI
    5. Future of AI in Nonprofits

    Keywords:
    Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.

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    OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft? Here's this week's AI News That Matters!

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Key Partnerships and Deals in AI
    2. Google's New AI Developments
    3. Microsoft's Upcoming Developer Conference
    4. Apple's Future AI Implementation

    Timestamps:
    02:00 Reddit partners with OpenAI for AI training, content.
    04:28 Large companies lack transparency in model training.
    06:58 Reddit becoming preferred search over Google, value in partnerships.
    12:08 OpenAI announced GPT 4 o and new feature.
    14:48 Google announced live smart assistance, leveraging AI.
    18:19 Customize data/files, tap into APIs, virtual teammate.
    21:06 Impressed by Google's new products and features.
    26:33 Apple to use OpenAI for generative AI.
    29:08 Speculation around AI safety, resignation raises questions.
    32:22 Concerns about OpenAI employees leaving is significant.
    34:20 Google and Microsoft announce AI developments, drama at OpenAI.

    Keywords:
    Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.

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    If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barak questions on ChatGPT

    Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Large Language Models (LLMs) and Business Competitiveness
    2. Understanding LLMs for Small to Medium-Sized Businesses
    3. Use Cases and Misconceptions of AI
    4. Data Security and Privacy

    Timestamps:
    01:35 About Barak and Cisco
    05:44 AI innovation concentrated in big tech companies.
    07:14 Large language models can revolutionize customer interactions.
    12:01 ChatGPT fluency doesn't guarantee accurate information.
    13:41 Considering use cases over two dimensions
    18:16 OLM is good fit for specific industries.
    21:17 Emphasizing the importance of large language models.
    23:20 Maintaining control over unique AI model elements.
    28:50 Questioning the data use in large models.
    31:27 Barak discusses leveraging AI for various use cases.
    33:50 Industry leader shared great insights on AI.

    Keywords:
    AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.

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    Why you need to listen to today's episode about GPT-4O 👇

    ↳ Everyone's talking about GPT-4o but no one's actually investigating it.
    ↳ No, not everything is free.
    ↳ Yes, OpenAI is still not telling the truth about some stuff.
    ↳ Yes, we did all the homework for you so you just gotta show up and learn

    7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions about GPT-4O on LinkedIn
    Related Episodes: OpenAI Releases GPT-4o: 12 things you need to know
    Ep 272: How OpenAI’s Shot at Google (and GPT-4o model) Will Change How We All Work

    Topics Covered in This Episode:
    1. Changes in OpenAI's language models

    2. Interaction with ChatGPT and Browse with Bing

    3. Detailed analysis of OpenAI's GPT-4.0 model

    4. Announcement and analysis of OpenAI's GPT 4 o

    5. Potential developments for ChatGPT Plus

    6. Discussion of AI influencers and misinformation on the internet

    7. Close-up on specific features of GPT 4.0 and device restrictions

    Timestamps:
    00:00 OpenAI releases GPT-4 o, lots of mystery.

    06:41 Google's announcement felt scripted, OpenAI's felt real.

    09:55 Live omnivision assistant can see, understand, talk.

    11:10 ChatGPT desktop agent not available for free.

    15:04 "Highly advanced capabilities of DALL E showcased."

    19:36 Chatbot arena allows blind model testing, benchmarking.

    22:52 GPTplus chat paid version getting update.

    23:28 Expect updates in weeks, bugs must be fixed.

    27:45 UI UX changes and new drop-down feature.

    31:52 Using large language models requires understanding context.

    35:12 OpenAI misunderstanding about model size and usage.

    38:33 Negative experience with sporadic Browse with Bing.

    39:25 GPT 4 to query internet using Bing.

    45:21 OpenAI sees potential in language model upgrade.

    47:36 GPT-4 recap: features, models, UI updates.

    49:28 Connect with experts in generative AI space.



    Keywords:
    OpenAI, GPT 4, knowledge cutoff, UI/UX update, ChatGPT, context window size, Jordan Wilson, Browse with Bing, large language models, targeted Browse with Bing calls, Internet-connected GPTs, free and paid versions, transcript excerpt, 3D files, advanced data analysis, GPT-4.0 model, chatbot arena, foundation models, chat GPT model, model's memory, AI news, AI robot Sophia, stability AI, US-China tensions in AI technology, prime prompt polished course, AI influencers, misinformation, AI assistant, DALL E, desktop assistant.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    Product management can be tough. Deadlines. Last-minute changes in the GTM strategy. Your new best friend? Generative AI. Kimberly Williams, Senior Product Manager at Microsoft, joins us to discuss how GenAI can help you navigate the challenges of product management with ease.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Kimberly questions on AI and product management

    Related Episodes: Ep 161: Product Strategy in the Age of AI
    Ep 104: Product Management and AI – Insights from a Microsoft Product Manager

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Role of AI in Product Management
    2. Use of AI in Communication and Influence
    3. AI and Customer Feedback in Product Management
    4. Future of Product Management

    Timestamps:
    01:25 Daily AI news
    04:45 About Kimberly and her role at Microsoft
    08:54 AI can aid in crafting efficient communications.
    11:21 Meeting AI automates note-taking and saves time.
    15:05 Use Copilot for short, improved email drafts.
    18:15 AI helps analyze customer feedback, identify patterns.
    22:08 OpenAI partnership developing Copilot using customer feedback.
    24:32 Discussion on emerging AI technology impact and concerns.
    30:11 Chat GPT offers accessible AI for all.
    32:29 Rising divide in AI use, tools for productivity.
    35:12 AI will be part of everyone's job.
    37:09 Replace Internet with generative AI for insight.
    40:14 AI offers creative opportunities for non-AI companies.

    Keywords:
    Kimberly Williams, Microsoft, AI in communication, managing through influence, GPT type AI, Copilot, email crafting, AI in meetings, transcribing meetings, Jordan Wilson, free prime prompt polish chat GPT course, improve email communication, AI prompts, use cases of AI, product management, Everyday AI show, AI news, Google IO developer conference, OpenAI, Ilya Sutskever, democratizing technology, generative AI, AI in product management, customer feedback in product management, interpreting customer feedback, AI in building product roadmaps, advanced AI models, educating customers about AI, triple p method, Microsoft Copilot.

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    GPT-4o looks cool. No doubt. But, here's what you probably aren't thinking about.

    ↳ It was definitely a shot at Google
    ↳ It will likely change the way the most efficient organizations work forever
    ↳ It is actually just a super powerful Trojan Horse

    What's all that mean? We break down GPT-4o and what it means for us all.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on GPT-4o

    Related Episodes: OpenAI Releases GPT-4o: 12 things you need to know

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Future impacts of GPT-4o
    2. OpenAI, Microsoft and Apple Collaboration
    3. Live demonstrations of GPT-4o
    4. OpenAI's strategic releases
    5. New Features and Plans for GPT-4o

    Timestamps:
    01:45 Daily AI news
    06:12 Generative AI update widens efficiency gap.
    10:04 GPT-4o combines transcription, intelligence, and text to speech.
    10:49 New GPT-4o assistant sees, hears, reduced cost.
    15:18 Eminem-inspired reverse reveal and criticism by OpenAI.
    17:41 Exclusive GPT-4o features will differentiate tiers.
    21:45 Google's Gemini rollout led to widespread mistrust.
    25:02 Large language models improve with usage statistics.
    27:32 Prediction of future technology transforming work processes.
    33:00 Teenager learning on iPad with real-time assistance.
    34:52 Discussing potential AGI, questioning if it's present.
    38:39 Latency reduced with new unified GPT-4 model.

    Keywords:
    Jordan Wilson, artificial general intelligence, AGI, OpenAI, Microsoft, Apple, GPT-4o Omni model, generative AI tools, live giveaway, YouTube comments, future of work, impact of technology, desktop app, AI assistant, coding, iPad app, access to education, GPT-4 model, US-China Geneva meeting, Klarna, Google IO developer conference, rock paper scissors demo, deceptive marketing strategy, training data, technology development, Microsoft's Copilot, GPT-4o, API cost, voice communication, Google's Gemini model

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    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    Just when we thought the AI world couldn't get more exciting, OpenAI has dropped its new GPT-4o model! We're breaking down what this model is and 12 things that you need to know about OpenAI's first omnimodel, GPT-4o.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on GPT-4o

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. OpenAI announces GPT-4o model
    2. Key Features of GPT-4o
    3. GPT-4o Rollout Plan
    4. What GPT-4o means for Google

    Timestamps:
    01:50 New GPT-4o model is Omni modal
    03:52 GPT-4 paid users get 5x capacity.
    10:09 ChatGPT desktop app for easy AI-assisted workflow.
    14:11 Google's marketing video not entirely truthful.
    16:25 Mistrust in AI marketing created by Google.
    18:40 OpenAI's rollout plan
    21:47 GPT-4 combines transcription, intelligence, text-to-speech.

    Keywords:
    OpenAI, GPT 4 o, Everyday AI, model, Jordan Wilson, account, access, upgrade, livestream podcast, free daily newsletter, AI news, observations, hot takes tuesday, Omni model, free and paid users, paid account, capacity limit, GPT store, transcription intelligence, text to speech, desktop assistant, API, reduced cost, live view mode, voice to voice communication, human feel, Google Gemini model, marketing stunt, rollout, IO developer conference.

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    Will OpenAI's big announcement Monday actually be 'magic'? ElevenLabs dropped an AI music demo you've gotta really hear to believe. Google's CEO says AI search in the future won't include links. Here's this week's AI News That Matters.

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    Join the discussion: Ask Jordan questions on AI

    Watch the OpenAI livestream here: https://www.youtube.com/watch?v=DQacCB9tDaw

    Related Episodes:
    Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
    Ep 207: AI Will Allow Us All to Make Music We Enjoy

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI advancement in music creation
    2. Predictions from Eric Schmidt, the former CEO of Google
    3. Google's evolution towards user-friendly search approach
    4. Apple's negotiations with OpenAI
    5. OpenAI's upcoming release and speculations

    Timestamps:
    02:00 Apple plans AI integration at upcoming WWDC.
    04:04 Apple likely partnering with OpenAI for AI.
    09:09 Back-to-back tech talks and big announcements.
    13:11 Update: GPT-4 no longer most advanced.
    15:56 New features include temporary chat and indexing.
    18:29 OpenAI CEO plans improved virtual assistant for Siri.
    20:52 Transition to smaller, higher quality models predicted.
    26:50 AI creating personalized music playlists with text prompt.
    29:07 Eric Schmidt emphasizes the importance of AI.

    Keywords:
    Jordan Wilson, AI playlists, listening habits, text prompts, AI-generated songs, independent artists, AI technology in music creation, Eric Schmidt, AI-driven search, direct answers, Google, Apple, OpenAI, chat GPT, iPhone, 11 Labs Music, Everyday AI show, iOS 18 operating system, Worldwide Developers Conference, WWDC, Gemini via Google, generative AI models, voice assistants, Her movie, GPT-2, text-to-music model, AI music generation, music streaming platforms, GPT 5, GPT 4.

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    If you think content writing is the only way to use AI for SEO, think again. That's just the beginning. AI is changing SEO as we know it. We have SEO expert Steve Toth give us the scoop on how to *actually* leverage AI for SEO that's more than just vanilla blog posts.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Steve questions on AI and SEO

    Related Episodes:
    Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
    Ep 137: Writers and Content Creators’ Future Role in a World of AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Utilizing AI for SEO beyond content writing
    2. Human-written content with AI enhancements for SEO
    3. Role of Google in content quality control
    4. Pros and cons of AI content
    5. Practical applications of AI in content creation

    Timestamps:
    01:20 Daily AI news
    04:14 About Steve and SEO Notebook
    05:45 Ways to leverage AI for SEO
    08:14 Hybrid AI content okay, mass AI content dangerous.
    11:58 Links from authoritative sites boost website credibility.
    15:30 Human input essential in Google's data analysis.
    19:16 Predicting SEO's future, Google controls web traffic.
    21:57 AI prefers comprehensive, well-researched content with links.
    26:35 Tips on improving call to action with AI.
    28:48 Use AI to enhance and polish your content.

    Keywords:
    SEO, Steve Toth, AI tools for SEO, open API, Python, Google.com, keyword research, auto suggest results, related searches, People Also Ask, call to action, AI content enhancement, topics for comprehensive guide, Jordan Wilson, free daily newsletter, everydayai.com, prime prompt polish chat GPT course, podpp.com, unpredictability of SEO, Google's control over web traffic, AI-generated content, B2B SaaS content, Google's SGE, OpenAI partnership deals, Reddit, Stack Overflow, organic web traffic, SERPs, SEO Notebook, FreshBooks

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    AI + all your data = good move or bad move? Sure, AI can do data crunching wonders when we pair the two together. But, what challenges and conflicts should we be aware of before doing so? Aakash Indurkhya, Head of Product at Virtualitics, joins us to discuss AI and data analysis.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Aakash questions on AI and data

    Related Episodes:
    Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our world
    Ep 142: AI is Changing Data Analysis: Insider Tips

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Generative AI Technology and Data Visualization
    2. Role of AI in Data Analysis
    3. Statistics Paradox and Data Collection Challenges
    4. Importance of Hands-On Experience and Collaboration

    Timestamps:
    01:30 Daily AI news
    04:30 About Aakash and Virtualitics
    08:51 Stress of data utilization despite its value.
    10:39 Data layers may disagree, causing decision paralysis.
    15:33 Generative AI aids human-driven data analytics.
    17:38 RAG concept crucial for tracing data decisions.
    24:06 Beginning data analysis requires tools, exploration, openness.
    26:43 Future of jobs with technology, data and humans.
    29:21 Communicate with experts for effective problem-solving.

    Keywords:
    data in the age of generative AI, large language models, OpenAI model spec, Google DeepMind AlphaFold 3, protein behavior prediction, Zapier Central, AI bots without coding, Virtualisix, data-driven decisions, industry-specific decision intelligence, data abundance paradox, ChatGPT technology, changes in data collection, Apple, Google, maintenance data for HVAC systems, human role in data analysis, industry-specific expertise, generative AI in data visualization, RAG technology, conversational interfaces in generative AI, sensitive data handling, GPT language models, Virtualitix AI platform, decision intelligence apps, data-driven decision paradox, decision congestion, common language in data analysis, data quality, decision socialization.

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    Will GenAI be an economic boom? Or cause economic doom? Or maybe something in between? Gad Levanon, Chief Economist at The Burning Glass Institute, joins us to discuss generative AI's impact on the U.S. labor market.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Gad questions on GenAI and the U.S. labor market

    Related Episodes:
    Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
    Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI's current impact on jobs
    2. Generative AI and higher education
    3. Skills demand related to generative AI
    4. Future for workers and generative AI
    5. Generative AI and retirement

    Timestamps:
    01:30 Daily AI news
    04:15 About Gad and The Burning Glass Institute
    08:09 Automation and technology impacting labor market trends.
    12:13 Generative AI impact on job ads analyzed.
    17:27 Employers need specific AI skills for reskilling.
    21:28 Concern around AI skills and education needs.
    25:06 Generative AI benefits seen in future stock market.
    29:37 Generative AI skills essential for future success.

    Keywords:
    Generative AI, Gad Levanon, AI engines, chatbot infrastructure, computing power, cybersecurity, cloud computing, outsourcing, US colleges, universities, higher education, short-term credentials, computer-related fields, economic shock, stock market, US economy, baby boomers, retirement, layoffs, reskilling, future job market, knowledge worker, US workers, US companies, Blue collar jobs, white collar jobs, online job ads, tech companies, AI automation, Apple, Microsoft, Burning Glass Institute, worker productivity, workforce reduction, new jobs, technological shifts.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Related Episodes:
    Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That Matters
    Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
    Ep 258: Will AI Take Our Jobs? Our answer might surprise you.

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:
    1. Understanding the Evolution of Large Language Models

    2. Connectivity: A Major Player in Model Accuracy

    3. The Generative Nature of Large Language Models

    4. Perfecting the Art of Prompt Engineering

    5. The Seven Roadblocks in the Effective Use of Large Language Models

    6. Authenticity Assurance in Large Language Model Usage

    7. The Future of Large Language Models


    Timestamps:
    00:00 ChatGPT.com now the focal point for OpenAI.

    04:58 Microsoft developing large in-house AI model.

    09:07 Models trained with fresh, quality data crucial.

    10:30 Daily use of large language models poses risks.

    14:59 Free chat GPT has outdated knowledge cutoff.

    18:20 Microsoft is the largest by market cap.

    21:52 Ensure thorough investigation; models have context limitations.

    26:01 Spread, repeat, and earn with simple actions.

    29:21 Tokenization, models use context, generative large language models.

    33:07 More input means better output, mathematically proven.

    36:13 Large language models are essential for business survival.

    38:53 Future work: leverage language models, prompt constantly.

    40:47 Please rate, share, check out youreverydayai.com.


    Keywords:
    Large language models, training data, outdated information, knowledge cutoffs, OpenAI's GPT 4, Anthropics Claude Opus, Google's Gemini, free version of Chat GPT, Internet connectivity, generative AI, varying responses, Jordan Wilson, prompt engineering, copy and paste prompts, zero shot prompting, few shot prompting, Microsoft Copilot, Apple's AI chips, OpenAI's search engine, GPT-2 chatbot model, Microsoft's MAI 1, common mistakes with large language models, offline vs online GPT, Google Gemini's outdated information, memory management, context window, unreliable screenshots, public URL verificat

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  • Send Everyday AI and Jordan a text message

    Is OpenAI launching a search engine this week?
    The original worry about Google that lead to the Microsoft-OpenAI partnership.
    Major U.S. newspapers suing Microsoft and Google.
    ... And a lot more. This is the AI news that matters for the week of May 6, 2024.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Related Episodes:
    Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That Matters
    Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
    Ep 258: Will AI Take Our Jobs? Our answer might surprise you.

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: [email protected]
    Connect with Jordan on LinkedIn

    Topics covered in this episode:



    Timestamps:
    00:00 OpenAI may announce game-changing chat-integrated search engine.
    05:42 OpenAI aims to revolutionize search process.
    10:35 Importance of smaller, powerful models for services.
    13:01 US newspapers sue OpenAI, Microsoft over copyrighted content
    14:40 Large language models scrape Internet data for training, including copyrighted material, raising fair use debate.
    17:42 Potential lawsuit between New York Times and OpenAI.
    23:08 Microsoft's investment in AI yields significant growth.
    26:05 NVIDIA leading in specialized, powerful GPU chips.
    29:57 Warren Buffett admits lack of understanding in AI.
    33:56 AI's ability to discover new drugs discussed.
    36:14 AI news: OpenAI, ChatJPG, EU investigation, $285M allocation.




    Topics Covered in This Episode:
    1. Investments in Generative AI and Digital Twin Technology

    2. The Impact and Potential Threats of AI

    3. OpenAI, ChatGPT, and the Upcoming Search Engine

    4. Legal Issues Surrounding OpenAI and Microsoft

    5. The Evolving Semiconductor Landscape



    Keywords:
    Jordan Wilson, generative AI, enterprise companies, digital twins, infrastructure improvements, Biden administration, investment, Warren Buffett, AI threats, deep fakes, Eli Lilly, novel drug candidates, OpenAI, ChatGPT, search engine, European Union, Microsoft, semiconductor, Berkshire Hathaway conference, discovering new medicines, Everyday AI podcast, GPT 2 chatbot model, copyright infringement, New York Times, out of court settlement, New York Post, Chicago Tribune, Google's AI dominance, NVIDIA, Sam Altman.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/