Logo
    Search

    EP 245: AI News That Matters - April 8th, 2024

    en-usApril 08, 2024

    Podcast Summary

    • Google's AI-based search service could become a paid productGoogle is considering charging for its AI-powered search service, a shift from its ad-driven model, and faces challenges in monetizing this conversational AI search through innovative ad formats.

      Google is exploring the possibility of charging for its AI-based search service, a shift from its traditional ad revenue model. This new service, called Search Generative Experience (SGE), uses large language models to provide direct answers to users' queries, but monetizing this conversational AI search may not align well with Google's current ad-driven strategy. Industry analysts suggest that Google could face challenges if it's perceived as evolving traditional search rather than offering a novel service. To monetize SGE, Google is experimenting with ad formats like paid source citations and sponsored product images. Google's SGE is considered one of its better AI products, but charging consumers for AI search may pose challenges. If Google fails to find innovative ad formats, it might collect referral fees from brands for purchases resulting from AI-generated search outcomes. This news came as a surprise, as Google currently monetizes only about 30% of searches through ads. Keep in mind that this is a developing story, and we'll continue to follow it closely to understand the potential implications for businesses and individuals.

    • Google's AI-powered search product, Gemini, faces challenges but AI-generated search experiences are preferred for quick summaries.Despite some difficulties with Google's Gemini and concerns about increasing ads, AI-generated search experiences are seen as time-saving and easier for learning, with potential new devices integrating AI into daily life.

      Google's rollout of their AI-powered search product, Gemini, has faced challenges, as some users, including the speaker's team, have experienced difficulties in connecting data and using it effectively. However, the speaker is a fan of AI-generated search experiences, like Google's SGE and Microsoft's Copilot, which offer quick summaries of information instead of requiring users to read multiple web pages. The speaker believes that these technologies will save time and make learning easier, despite the increasing number of ads on the Internet that make reading more difficult. Regarding Google's potential plans to charge for AI-based search, the speaker expresses skepticism, believing that investors will pour more money into free alternatives, potentially taking market share from Google. Lastly, former Apple designer Jony Ive and OpenAI CEO Sam Altman are reportedly in discussions to launch an AI-powered personal device startup, which could offer an all-encompassing user experience without traditional apps or interfaces. The specifics of the device are not yet disclosed, but it is suggested that it could integrate AI into various aspects of daily life, potentially focusing on personal and home devices.

    • Startup founded by Ivy and Altman seeks funding and collaborationsIvy and Altman's new startup aims to raise funds and partner with VC firms like Emerson Collective and Thrive Capital to integrate OpenAI's conversational AI and voice engine into their device. Anthropic AI's beta tool use functionality for Claude enables real-time information retrieval and third-party feature integration, enhancing its capabilities.

      The startup founded by John Ivy and Sam Altman, known for their past successes with Apple's hardware and OpenAI's conversational AI, is seeking funding and exploring collaborations with prominent VC firms like Emerson Collective and Thrive Capital. Thrive Capital, an investor in OpenAI, could potentially contribute to integrating OpenAI's conversational AI and voice engine into the new device. Anthropic AI, another large language model company, has introduced a beta version of its tool use functionality for Claude's models, enabling real-time information retrieval and third-party feature integration. This integration allows for more accurate data sourcing and reduces reliance on web lookup. The slow rollout of third-party integrations with Claude suggests a methodical approach, but the addition of tool use functionality could significantly enhance its capabilities and potentially change the way users interact with it. Overall, the actions of these companies underscore the ongoing investment and innovation in large language models and their potential integration into various technologies.

    • Understanding the limitations of large language modelsDespite their power, large language models have limitations like knowledge cutoff and lack of real-time internet connectivity. AI music generation also raises concerns about human creativity, privacy, and livelihoods.

      While large language models like Claude's Opus model can be powerful tools, it's crucial to understand their limitations. A major downside is the knowledge cutoff, which makes these models less effective when dealing with data older than a year. Additionally, lack of real-time internet connectivity can increase the likelihood of inaccurate responses or the need for more time and effort. The recent development of Claude integrating with third-party tools is a step in the right direction. However, the music industry is raising concerns about AI threats to human creativity. Over 200 musicians, including Billie Eilish, Nicki Minaj, and Katy Perry, have signed an open letter urging tech companies to be cautious about using AI music generation tools that could potentially infringe on human creativity, privacy, identity, and livelihoods. The use of AI in generating music without permission poses significant challenges for artists in protecting their creations.

    • AI music generators pose challenges for human creators and their rightsThe development of AI music generators raises concerns about human creativity and artist rights, with ongoing debates on ethical considerations and legal implications.

      The music industry is facing new challenges with the development of AI music generators, as companies like Adobe, Stability AI, Suno, and Google explore this technology. However, concerns have been raised by artists and writers about the potential impact on human creativity and the devaluation of their rights. The Artist Rights Alliance, which includes over 15,000 members, has called on AI developers and technology companies to cease the use of AI to infringe upon human artist's rights. While acknowledging the potential benefits of AI in advancing human creativity, the letter also expresses concerns that these tools could jeopardize human creativity. The training methods and ethical considerations of AI music generation are also under scrutiny, with ongoing lawsuits, such as the one between OpenAI and The New York Times, set to shape the future of this industry. As the legal landscape evolves, the demand for lawyers specializing in copyright, IP, and intellectual property is expected to increase.

    • AI use in copyrighted materials: A complex issueAI's use of copyrighted materials sparks debate over creativity and job losses, with some companies taking cautious approaches while others use content indiscriminately. Major tech companies aim to reskill over 95 million individuals to mitigate job losses.

      The use of copyrighted materials in training AI models is a controversial issue. While some companies are taking a cautious approach, others are using vast amounts of content indiscriminately. Artists are concerned about the potential impact on their creativity, while AI proponents argue that AI can be more creative than humans when used correctly. Meanwhile, major tech companies have formed a consortium to address the job losses resulting from AI adoption, aiming to reskill over 95 million individuals in the next decade. Despite the potential job losses, it's positive to see these companies investing in upskilling and reskilling initiatives. Ultimately, the impact of AI on jobs and creativity remains a complex issue that requires ongoing discussion and solutions.

    • Unprecedented tech layoffs due to AI impactIn 2024, over 60,000 tech jobs lost due to AI, with major AI developers like Google, IBM, Microsoft, Intel, and Accenture leading the trend. JPMorgan Chase plans to use AI to augment jobs, while private sector offers reskilling opportunities.

      We are experiencing unprecedented tech layoffs in 2024, with over 60,000 job losses already, and the trend is expected to continue due to the impact of AI. This is significant because the companies leading the charge in AI development, such as Google, IBM, Microsoft, Intel, and Accenture, are also the ones experiencing the most layoffs. The writing has been on the wall for some time regarding the potential job loss and economic impact of AI, particularly in the US where the education system has not kept pace with teaching essential AI skills. JPMorgan Chase's CEO, Jamie Dimon, recognizes the transformative potential of AI, comparing it to major historical technology inventions like electricity. With over 2,000 AI and machine learning employees and data scientists, JPMorgan Chase plans to use AI to augment various job roles within their workforce. The private sector is stepping up to provide reskilling and upskilling opportunities due to the lack of focus on AI education in the public sector. It's important that initiatives like the consortium led by Cisco address the job loss issue and provide solutions to help workers adapt to the changing job market.

    • JPMorgan's Change of Heart towards Generative AIJPMorgan acknowledges potential impact of generative AI on humanity, Google considers charging for AI-based search, Jony Ive partners with Sam Altman, major tech companies address job loss from AI advancements.

      The stance of companies towards AI, particularly generative AI, is evolving rapidly. JPMorgan Chase, which was among the first large companies to ban the use of generative AI for its employees, has now changed its tune, acknowledging its potential impact on humanity, comparable to electricity. This shift in attitude comes as more and more companies are integrating AI into their operations, and those that continue to ban it risk falling behind. Other notable developments in AI this week include Google's consideration of charging for AI-based search, partnerships between notable figures like Jony Ive and Sam Altman, and efforts by major tech companies to address job loss resulting from AI advancements. These are just a few examples of the many ways AI is reshaping industries and our daily lives. Stay tuned for more updates on this rapidly evolving field.

    • Stay Updated with Daily AI NewsletterSign up for the free daily newsletter at everydayai.com to stay informed about the latest trends and advancements in generative AI, share valuable insights with your network, and keep your company competitive.

      Staying informed about the latest developments in generative AI is crucial for both personal and professional growth. Everyday AI provides a daily newsletter with fresh finds, exciting use cases, and top news in the field. By signing up and sharing this information with your network, you can keep up with the latest trends and advancements, helping you and your company stay competitive. Don't miss out on valuable insights and knowledge. Visit everydayai.com and sign up for the free daily newsletter today. Remember, sharing is caring, so spread the word and help others grow with you. Happy learning, and we'll see you tomorrow for more everyday AI!

    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

    Send Everyday AI and Jordan a text message

    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.

    Newsletter: Sign up for our free daily newsletter
    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.

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

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

    Send Everyday AI and Jordan a text message

    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.

    Newsletter: Sign up for our free daily newsletter
    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

    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 282: AI’s Role in Scam Detection and Prevention

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

    Send Everyday AI and Jordan a text message

    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.
     
    Newsletter: Sign up for our free daily newsletter
    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
    Connect with Jordan on LinkedIn

    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.

    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 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?

    Send Everyday AI and Jordan a text message

    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.
     
    Newsletter: Sign up for our free daily newsletter
    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
    Connect with Jordan on LinkedIn

    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.

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

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

    Send Everyday AI and Jordan a text message

    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.

    Newsletter: Sign up for our free daily newsletter
    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
    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/

    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

    Send Everyday AI and Jordan a text message

    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.

    Newsletter: Sign up for our free daily newsletter
    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
    Email The Show: info@youreverydayai.com
    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.

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

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

    Send Everyday AI and Jordan a text message

    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.

    Newsletter: Sign up for our free daily newsletter
    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.

    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 277: How Nonprofits Can Benefit From Responsible AI

    EP 277: How Nonprofits Can Benefit From Responsible AI

    Send Everyday AI and Jordan a text message

    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.

    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    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.

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

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

    Send Everyday AI and Jordan a text message

    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!

    Newsletter: Sign up for our free daily newsletter
    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.

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

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

    Send Everyday AI and Jordan a text message

    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. 

    Newsletter: Sign up for our free daily newsletter
    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
    Email The Show: info@youreverydayai.com
    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.

    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/

    Related Episodes

    Suchen und Finden: Die Shopsuche (E-Commerce Unplugged #5)

    Suchen und Finden: Die Shopsuche (E-Commerce Unplugged #5)

    Die Shopsuche ist eigentlich langweilig. Oder? Wollen wir mal sehen. Über die Suche gestern und heute und warum es immer noch ein interessanter Teil eines Shops ist.

    ( 00:00:00 ) Intro
    ( 00:00:47 ) Prolog
    ( 00:01:22 ) Suche ist doch wie Wasser
    ( 00:04:00 ) Unendliche Vielfalt
    ( 00:05:47 ) Smartphone Suche
    ( 00:08:53 ) Das Ende des Suchschlitzes
    ( 00:11:14 ) Suche aus Perspektive eines Händlers
    ( 00:13:13 ) Suchintent erkennen
    ( 00:16:18 ) Kaufabsicht erkennen
    ( 00:17:45 ) Stellschrauben für Intenterkennung
    ( 00:20:17 ) Messbarkeit herstellen
    ( 00:26:23 ) Attribution
    ( 00:27:28 ) Auswertungen auf Suchbegriffs-Ebene
    ( 00:29:15 ) Relevanz messen
    ( 00:31:24 ) Optimierung der Suche
    ( 00:32:41 ) Precision und Recall bei der Optimierung
    ( 00:34:27 ) Sponsored Products in der Suche
    ( 00:38:20 ) Suche hat keinen Selbstzweck
    ( 00:39:41 ) SaaS vs. selbstgemachte Suche
    ( 00:44:25 ) Unterschätzte Suchprobleme
    ( 00:46:46 ) Produktdaten aufbereiten für Suche
    ( 00:47:32 ) Semantische Suche
    ( 00:50:04 ) Resumee
    ( 00:50:31 ) Suche neu denken

    Sprecher: Malte Breuer und Ralf Zarsteck

    Material:

    614 | The AI Road Ahead of Us w/ Dr. Pete Meyers

    614 | The AI Road Ahead of Us w/ Dr. Pete Meyers

    Long live the Radish King.

    Buckle up! Dr. Pete Meyers, marketing scientist at Moz, says the road ahead with AI might be a bumpy one. Find out why he thinks a little bit of panic might be in store for SEOs, as Dr. Pete and Erin Sparks talk about E-E-A-T, What is real vs. fiction in regards to AI, and if there will ever be such a thing as Predictive SEO. 

    [00:03:16] Introducing Marketing Scientist, Dr. Pete Meyers
    [00:05:19] AI and SEO
    [00:06:21] “I think we should panic” - Dr Pete Meyers
    [00:10:39] E-E-A-T: Product Reviews Update
    [00:15:18] EDGE of the Web Title Sponsor: Brightlocal
    [00:16:18] What is real? What is fiction?
    [00:23:08] Predictive SEO
    [00:30:40] EDGE of The Web Sponsor: Wix 
    [00:31:22] Combating against Black Hat Tactics with AI

    Thanks to our sponsors!
    BrightLocal: https://edgeofthewebradio.com/brightlocal
    Wix: https://edgeofthewebradio.com/wix

    Follow our Guest:
    https://www.twitter.com/dr_pete
    https://www.linkedin.com/in/drpete/
    https://mastodon.social/@dr_pete

     

    #125 Pascal Weinberger: Harnessing the Power of Generative AI for Creativity & Productivity

    #125 Pascal Weinberger: Harnessing the Power of Generative AI for Creativity & Productivity

    Welcome to episode 125 of Eye on AI, where we embark on a journey into the realm of Generative AI. In this episode, we have the pleasure of chatting with Pascal Weinberger, co-founder and CEO of Bardeen AI, who takes us through the evolution of AI and its incredible potential for creativity and professional endeavors.

    Join us as we venture behind the scenes of Telefonica’s Moonshot Lab, where AI projects in healthcare, energy, and city planning are explored. Discover the fascinating ideas and initiatives that have emerged, including the birth of a mental health company, as we uncover the immense impact of Generative AI.

    During our conversation, we’ll delve into the nuances of Generative AI technology, exploring how industry giants like Microsoft and Google are harnessing its power to enhance their products. We’ll also discuss the strategies and challenges faced by companies in the competitive Generative AI market, with a strong focus on meeting the needs of end users.

    We’ll also tackle the ongoing debates surrounding the risks and benefits of AI technology, ensuring you stay ahead of the curve in this ever-evolving world of Generative AI.

    Tune in and join us as we unravel the secrets of Generative AI, paving the way for a future where creativity and productivity reach new heights.

    (00:00) Preview
    (00:24) Pascal's Weinberger background in Telefonica
    (08:28) Machine learning & AI with Pascal's Weinberger 
    (10:28) How Pascal's Weinberger founded Bardeen AI
    (13:25) Generate AI MVP for Bardeen AI
    (17:21) Generative AI applications and OpenAI competition 
    (22:24) Competition in the AI space
    (25:24) Big tech companies vs. startups in AI
    (31:46) The future of AI and transformer algorithm  
    (32:41) Bardeen AI features and functionality 
    (46:24) AutoGPT problems and considerations  
    (50:54) Risk of AI & misuse of commands 

    Craig Smith Twitter: https://twitter.com/craigss

    Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

    Microsoft Copilot Forecast, Fairly Trained, Google ASPIRE | The AI Moment – Episode 12

    Microsoft Copilot Forecast, Fairly Trained, Google ASPIRE | The AI Moment – Episode 12

    On this episode of The AI Moment, we discuss two emerging Gen AI trends: Microsoft Copilot’s AI revenue potential and LLM research. We also celebrate our latest Adults In the Generative AI Rumpus Room

    The discussion covers:

    • With the most used enterprise software and operating system in the world, Microsoft placed a significant bet on AI with the introduction of Copilot to enterprise users in September 2023. Now Microsoft has unleashed Copilot, making it available to nearly every 365 user. What will the impact be? Is Microsoft poised to generate material revenues from AI in 2024? 

    • LLMs are evolving at lightning speed, in part due to a copious amount of academic research and what it means for the market.

    • More Adults in the Generative AI Rumpus Room: Non-profit Fairly Trained, Google Research.

     

    ChatGPT and Generative AI

    ChatGPT and Generative AI

    Every civilization throughout our history has taken part in the shaping of its society and ultimately its own destiny,  built on the foundations of human ingenuity and the unique drive to be better. In the strive for social progress and the instinctual desire to harness the power of technology, we built machines to help us.  This new mechanized era coupled with ever increasing automation, would lay the groundwork for what would later play a critical role in the future molding of human development.

    Now, for the first time in human history, we have taken the first real steps to begin handing the reins of human development over to Artificial Intelligence.  This new technological frontier will no doubt have its unique (and at times, dizzying) peaks of civil progress as well as its frightening valleys of unintended technological horrors.

    Will AI prove to be humanity's greatest creation or greatest flaw? Will humanity collectively ease back on the throttle of technological progress before its too late? Are Markus and Drew making a big deal about nothin'? 

    You decide.

    ***LINKS:

    ChatGPT explained.

    DAN Command (Do Anything Now)

    "I Robot,  basically..."

    Homer's Rage-Art/ "Le Grille"

    "Do you like the Elton John song, Rocket Man?"

    Joe Biden's problem with plagiarism

    Shia LaBeoufe's problem with plagiarism 

    China's Dystopian ChatGPT

    AI generated TV show

    Deepfakes

    The Butlerian Jihad

    The Rise of Skynet and the AI Takeover

    Can't someone else do it?

    A whole generation of disposable people

    I don't listen to hip-hop

    ***CONTACT US:

    Link Tree

    ***SUPPORT US:

    PayPal

    If you liked what you heard and can afford to help us grow, please throw a couple bucks our way. If your budget is too tight but you still want to help, please Like, Share and/or leave us a good review. Thanks!

    Support the show