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    • A surge in generative AI technology for ads and content creationGenerative AI technology is increasingly being used in advertising and content creation, offering specificity and convenience but raising privacy concerns

      We're witnessing a surge in the use of generative AI technology, particularly in the advertising industry and companies like Meta, and in tools that help people create content. This technology, while raising privacy concerns, can lead to more specific and relevant ads and content creation. Another example is Rewind, a company that uses generative AI to help users access and interact with their past computer data. Despite the potential creepiness, the specificity and convenience offered by these AI applications are drawing significant investment. As for the future of AI in our homes, it's a topic worth exploring further with our special guest, Rob West from Armstrong Fluid Technology. Stay tuned for more insights on this and other AI developments.

    • The Impact and Future of Generative AI TechnologyGenerative AI technology, valued at $500 billion by 2030, can create music, text, and help recall lost documents. It's seen as a potential threat and benefit to creativity, especially in music and smart homes.

      Generative AI technology is gaining significant traction and investment, with companies like OpenAI and Google releasing tools that can generate music and text. This technology, which can help users recall lost documents or create music, is expected to have a $500 billion market value by 2030, according to a new study. While some may see this as a threat to creativity, others, including musicians, see potential benefits. For instance, AI can help musicians overcome creative blocks or generate ideas. However, the extent to which AI will replace human creativity remains to be seen. In the realm of smart homes, AI is also expected to make a significant impact, with the market projected to reach over $500 billion by 2030. While AI has made some inroads into everyday American homes, with devices like Nest thermostats, it has yet to fully penetrate the market. The future of AI in smart homes will depend on how consumers perceive its benefits and potential risks.

    • AI technology optimizes energy use in homesManufacturers incorporate AI for temperature control, grid management, humidity control, and solar panel optimization, appealing to energy-conscious homeowners and offering potential for significant energy savings and cost reduction.

      Energy efficiency is a major focus for homeowners and manufacturers, and AI technology can play a significant role in optimizing energy use in homes. Manufacturers like Armstrong Fluid Technology are incorporating AI into their offerings to help distribution contractors and homeowners make the most of their energy resources. The use of AI can go beyond just temperature control, extending to grid management, humidity control, and even solar panel optimization. Older individuals may be slower to adopt new technology, but the younger generation is embracing it, and the heating and air conditioning industry is gradually adopting these advancements. The potential for energy savings and cost reduction makes the energy efficiency market a lucrative opportunity for manufacturers who can optimize their offerings for this technology.

    • Integrating AI in HVAC industry for efficiency, cost savings, and understaffing solutionsAI technology in HVAC industry enhances efficiency, reduces costs, and tackles understaffing issues. Trust and acceptance can be built through transparent AI systems, and large-scale applications can yield significant energy savings.

      The integration of AI technology in the HVAC industry is crucial for improving efficiency, reducing costs, and addressing the industry's long-standing issue of understaffing. This shift will require an influx of younger workers who can bring innovative technologies and fresh perspectives. However, implementing AI in HVAC processes is not without challenges. Convincing stakeholders to adopt this technology can be difficult, as the industry is not traditionally associated with AI. But, with the help of transparent AI systems that can explain their decision-making process, the trust and acceptance of AI in HVAC can be built. Moreover, large-scale HVAC applications, such as those used in commercial spaces, can significantly benefit from AI in equipment selection and plant optimization. These advancements can lead to substantial energy savings, making the investment in AI technology a worthwhile one.

    • Significant energy savings with advanced technologiesAdvanced technologies like Armstrong's upgraded pumps can save up to 50% energy and AI plays a crucial role in energy efficiency, offering data-driven recommendations for energy-efficient equipment and solutions, even optimizing existing systems and suggesting furniture arrangements.

      Implementing advanced technologies like Armstrong's upgraded pumps can lead to significant energy savings - up to 50% - making it a worthwhile investment for both residential and commercial properties. AI is expected to play a crucial role in energy efficiency, particularly in the HVAC sector. For contractors, AI can serve as a valuable sales tool, providing homeowners with data-driven recommendations for energy-efficient equipment and solutions. Additionally, AI could help address the common concern of intrusive installations by helping to optimize existing systems and even suggest furniture arrangements to enhance comfort without altering the visual appeal of a space.

    • Exploring AI tools in traditional industriesExperimenting with AI tools on platforms like ChatGPT can lead to time and resource savings in traditional industries, but expertise and understanding are still crucial.

      Staying updated with new technology, including AI systems, is crucial for success in any industry, even those that move more slowly. The speaker shared his experience in the heat and air conditioning industry, where many professionals have yet to explore AI tools. He recommended starting with simple steps, like creating an account on platforms like ChatGPT and experimenting with it. The more questions one asks, the more potential benefits one can discover. For instance, the speaker was amazed by the ability of AI to diagnose fault codes in HVAC units, which could save time and resources for technicians. However, it's essential to remember that AI tools are not a replacement for expertise and understanding. Instead, they are tools that can help professionals work more efficiently and effectively. By embracing new technology and continuously learning, professionals can stay competitive and provide better services to their clients.

    • Exploring the Power of ChatGPT for Accessing Information EfficientlyChatGPT is a valuable tool for accessing information efficiently and effectively. It's like having an expert on call, ready to answer any question. Don't hesitate to ask questions and engage with this powerful AI.

      While we may not always need to know the answers ourselves, having the ability to access them efficiently and effectively is crucial. ChatGPT, as mentioned during the discussion, serves as a valuable tool in this regard. It's like having an expert on call, ready to answer any question you have. The more we explore its capabilities, the more applications we discover. As Rob wisely put it, "if everyone else is moving forward, you can't be the one standing still." So don't hesitate to ask questions and engage with this powerful AI. For those interested in trying it out, we encourage you to sign up for our newsletter at everydayai.com. Not only will you receive valuable insights and tips on how to use ChatGPT, but we're also giving away the premium version to our subscribers. So, join us on this AI journey and let's continue to explore and learn together. Remember, knowledge is just a question away.

    Recent Episodes from Everyday AI Podcast – An AI and ChatGPT Podcast

    EP 284: Building A Human-Led, AI-Enhanced Justice System

    EP 284: Building A Human-Led, AI-Enhanced Justice System

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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: info@youreverydayai.com
    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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    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

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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

    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:
    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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    EP 282: AI’s Role in Scam Detection and Prevention

    EP 282: AI’s Role in Scam Detection and Prevention

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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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    More on this Episode: Episode page
    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
    Email The Show: info@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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    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

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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
    Email The Show: info@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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    EP 280: GenAI for Business - A 5-Step Beginner's Guide

    EP 280: GenAI for Business - A 5-Step Beginner's Guide

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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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    More on this Episode: Episode page
    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: info@youreverydayai.com
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    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

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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/

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

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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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    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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    EP 278: Microsoft Build AI Recap - 5 things you need to know

    EP 278: Microsoft Build AI Recap - 5 things you need to know

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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: info@youreverydayai.com
    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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    EP 277: How Nonprofits Can Benefit From Responsible AI

    EP 277: How Nonprofits Can Benefit From Responsible AI

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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
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    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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    EP 276: AI News That Matters - May 20th, 2024

    EP 276: AI News That Matters - May 20th, 2024

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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: info@youreverydayai.com
    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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    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

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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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    Connect with Jordan on LinkedIn

    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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    Related Episodes

    EP 126: Real Business Use Cases for AI

    EP 126: Real Business Use Cases for AI

    One of the most common phrases we hear is how can I actually use AI? What use cases exist for me to put AI to work for my business? Isar Meitis, CEO of Multiplai, joins us to discuss real business use cases for AI. From data analysis to marketing tasks, we cover a wide variety of topics. 

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    Join the discussion: Ask Isar and Jordan questions about AI
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Timestamps:
    [00:01:30] Daily AI news
    [00:04:00] About Isar and Multiplai
    [00:06:00] How to implement AI in a business
    [00:10:00] Roadblocks for companies adopting AI
    [00:15:25] Using AI for data analysis
    [00:19:30] Data security guidelines for AI
    [00:23:30] Using Gen AI for content creation
    [00:30:12] Ideation with LLMs
    [00:35:05] Isar's advice to start using AI

    Topics Covered in This Episode:
    1. Integrating AI into business organizations
    2. Use cases of AI in data analysis
    3. Role of the committee in exploring and implementing AI
    4. Content creation and repurposing with AI tools
    5. Consulting with experts and utilizing their content

    Keywords:
    financial data, session, accessibility, Google, database, sensitive information, sharing, continuous education, exploration, AI, podcast, consulting, teaching courses, staying updated, business owners, limited time, learning, experimenting, new tools, advancements, Microsoft, Google, Salesforce, HubSpot, integrating AI features, business leaders, committee, framework, boundaries, misuse of AI, company values, salesperson, compensation, guidelines, boundaries, education, training sessions, third-party tools, ChatGPT, advanced data analysis, insights, marketing, scattered data, automation tools, Zapier, Maker, data security issues, Gen AI tools, pain points, video recording, content repurposing, transcription, SEO purposes, books, advisory board, committee, bouncing ideas, multiple perspectives, CEO, experienced professionals, tech startups, AI impact, education, data security, commercial version, immediate results, low hanging fruits, data analysis, finance, marketing, sales, HR, fear of publishing private data, large language models, MidJourney, Niji app, AI image generation, anime style, version 5, image generations, DALL E, ideation, content creation process

    Generative AI is gross

    Generative AI is gross

    Generative AI is gross to me.

    I have a visceral reaction to it. It makes my skin crawl. It causes my blood pressure to rise.

    Some days I wish I could “agree to disagree” about it, but, honestly, it feels like a real moral challenge of our age.

    I don’t necessarily see AI becoming sentient and taking over. What I do see is a lot of people using it for deeply cynical purposes.

    You can head over to JohnLacey.com for more information about today’s show.

    Open The Pod Bay Doors, Sydney

    Open The Pod Bay Doors, Sydney
    What does the advent of artificial intelligence portend for the future of humanity? Is it a tool, or a human replacement system? Today we dive deep into the philosophical queries centered on the implications of A.I. through a brand new format—an experiment in documentary-style storytelling in which we ask a big question, investigate that query with several experts, attempt to arrive at a reasoned conclusion, and hopefully entertain you along the way. My co-host for this adventure is Adam Skolnick, a veteran journalist, author of One Breath, and David Goggins’ Can’t Hurt Me and Never Finished co-author. Adam writes about adventure sports, environmental issues, and civil rights for outlets such as The New York Times, Outside, ESPN, BBC, and Men’s Health. Show notes + MORE Watch on YouTube Newsletter Sign-Up Today’s Sponsors: House of Macadamias: https://www.houseofmacadamias.com/richroll Athletic Greens: athleticgreens.com/richroll  ROKA:  http://www.roka.com/ Salomon: https://www.salomon.com/richroll Plant Power Meal Planner: https://meals.richroll.com Peace + Plants, Rich

    EP 116: Using Gen AI in the Enterprise Space - Insights From Walmart

    EP 116: Using Gen AI in the Enterprise Space - Insights From Walmart

    How can enterprise companies use generative AI? What does the future of enterprises look like? Jack Adams, an Associate Merchant and GenAI Champion from Walmart, joins us to share insights on how big enterprise companies are harnessing the power of generative AI to increase productivity and enhance customer experiences.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jack and Jordan questions about AI and enterprise
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Timestamps:
    [00:01:00] Daily AI news
    [00:04:05] About Jack Adams and his role in AI at Walmart
    [00:07:45] Pursuing a gen AI role
    [00:09:00] Walmart's Generative AI Playground
    [00:13:40] AI in the enterprise landscape
    [00:16:15] How Walmart uses AI for its customers
    [00:21:40] Future of AI in enterprise
    [00:25:00] Will enterprise-level LLMs make smaller LLMs obsolete?
    [00:28:05] Jack's advice for leveraging AI

    Topics Covered in This Episode:
    1. Jack Adams' Experience at Walmart with Generative AI
    2. Adoption of Generative AI in Enterprise Companies
    3. Future Developments and Challenges in AI
    4. Ways Walmart is Using Generative AI

    Keywords:
    future of generative AI, enterprise sector, Walmart, chat for customers, successful implementation, companies hesitant about generative AI, enterprise companies adopting generative AI, guest from Walmart, Everyday AI Show, small business, entrepreneurs, solopreneurs, live viewers, questions, daily livestream podcast, free daily newsletter, Meta, generative AI features, advertisers, ad creation, backgrounds, expanding images, multiple versions, ad text, media companies, advertising suite, Walmart ecosystem, intern, math and finance, University of Alabama, Walmart stores, rotational program, assortment on the shelf, profit and loss, generative AI space, ChatGBT, site's content quality, generative AI playground, Walmart home office associates, Microsoft OpenAI, Google, GPT 3.5, GPT 4, Google Bard, open-source models, internal data, AI system, educational space, workshops, AI system prompts, AI adoption, associate productivity, customer experience, generative AI enhanced search, user intent, Walmart app, website, cautious investments, early stages of AI, company foundation models, AI startups, disruptive technologies, Jack, enterprise solutions, Microsoft Bing, Microsoft 365 Copilot, smaller AI startups, big releases, emerging technologies, positive and negative impacts, address drawbacks, generative AI system, optimize product content, generative AI initiatives, training, Walmart tour, educative about generative AI, Just Jack, smart chat agent, Walmart sales, convenience, natural language processing, user suggestions, generative AI for internal purposes, smart AI chat, customer side, improving customer experience, Walmart's millions of customers, controlling AI, fear of job loss, implementation challenges, AI champions at Walmart, personal life benefits, Chat GPT 4, scheduling, meal planning, fitness planning, staying informed, AI trends

    CoreWeave’s Brannin McBee on the future of AI infrastructure, GPU economics, & data centers | E1925

    CoreWeave’s Brannin McBee on the future of AI infrastructure, GPU economics, & data centers | E1925

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    Brannin McBee joins Jason to discuss CoreWeave’s transition from cryptocurrency to AI (3:36), the energy dynamics of GPUs (14:04), innovations in data center cooling (19:28), and the future challenges and impacts of AI infrastructure on industries like search, advertising, and e-commerce (45:36).

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    Timestamps:

    (00:00) CoreWeave’s Brannin McBee joins Jason

    (3:36) The founding story of CoreWeave and the transition from the cryptocurrency market to AI

    (12:49) OpenPhone - Get 20% off your first six months at http://www.openphone.com/twist

    (14:04) Energy reliance of GPUs, the future of data centers, and the cost and efficiency of GPU cloud infrastructure

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    (24:52) Demand trends for GPU capacity and the growth of inference linked to user growth

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    (30:28) LPUs Vs. GPUs

    (34:13) Dominance of Nvidia in training models, implications of open source chips and chip architecture

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    (40:00) Challenges in training large language models and the use of infrastructure as a weapon by big tech

    (45:36) The potential impact of AI on search engines, advertising sector, and ecommerce

    (52:46) Timeline for supply-demand balance in AI infrastructure and the operational feat of running multiple data centers

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    LinkedIn: https://www.linkedin.com/in/jasoncalacanis

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    Great 2023 interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland

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