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    • AI's Impact on Wearables and InvestingTwo AI wearables were launched, a competition for large language models was initiated, and JPMorgan Chase introduced an AI investment tool using OpenAI's GPT 4 model, potentially revolutionizing thematic investing.

      AI is making its way into new and innovative technologies, such as wearables and investment tools. Two high-profile AI wearables have recently been released, but their effectiveness and widespread adoption remain to be seen. In the world of AI news, a new competition offering a $100,000 prize pool has been initiated to evaluate large language models and advance their capabilities. JPMorgan Chase has also introduced a new investment tool, Index GPT, which utilizes OpenAI's GPT 4 model to generate thematic investment baskets by scanning news articles for relevant keywords. This tool could potentially revolutionize thematic investing and outperform traditional methods. Additionally, there are rumors that OpenAI is developing a new search engine to compete with Google. These developments showcase the growing influence and applications of AI in various industries. Stay informed about the latest AI news by subscribing to the Everyday AI newsletter at everydayai.com.

    • OpenAI planning to launch search engine to compete with GoogleOpenAI, led by CEO Sam Altman, is reportedly developing a search engine to challenge Google. Motivated by the growing use of chatbots and Microsoft's investment, they aim to integrate large language models for improved search results.

      OpenAI, the AI research lab, is reportedly planning to launch a search engine to compete with Google, according to rumors. This comes as Google is scheduled to hold its annual developer conference on May 14th, and OpenAI may be motivated to enter the search market due to the growing use of chatbots like ChatGPT as search engines. OpenAI's CEO, Sam Altman, has expressed interest in cracking the code on integrating large language models into search. Microsoft's investment in OpenAI was also influenced by its concerns about Google's advanced AI capabilities, particularly in areas like email autocomplete. In the realm of wearable tech, there are several new AI devices emerging, including the humane AI pin, Rabbit r one, and Meta AI Ray Bans. These devices offer unique features and functionalities, but their prices remain to be seen. Overall, the intersection of AI and search engines, as well as the rise of AI wearables, are key areas to watch in the rapidly evolving tech landscape.

    • Wearable devices with computer vision and companion apps for daily convenience and productivityWearables like Humane AI pin, Rabbit r one, and Meta Ray Bans offer computer vision and companion apps for daily convenience and productivity, allowing users to interact with things, speak to them as a smart assistant, and record/transcribe conversations.

      There are various wearable devices available in the market, each offering unique features and functionalities. The most popular ones include the Humane AI pin, Rabbit r one, and Meta Ray Bans, which all have the capability of computer vision. On the other hand, devices like the Limitless pendant and others don't have a camera but can transcribe conversations and act as a second brain. These devices have companion apps that record and transcribe conversations all day, providing the convenience and accuracy of a large language model wherever you go. The first three devices can also perform actions on your behalf, while some pendant-type devices have this capability as well. Essentially, these wearables can see and interact with things, you can speak to them like a smart assistant, and some can record and transcribe your conversations. These devices provide a running collection of your day that you can talk to, making your life more convenient and productive.

    • AI Wearables: Excitement and CautionOpinions on AI wearables vary, with some eager to adopt computer vision-enabled devices and others preferring to wait for improved versions. Ultimately, the decision depends on individual needs and the specific problem each device aims to solve.

      While there is excitement within the AI and technology community about AI-powered devices, opinions vary greatly regarding adoption, especially when it comes to wearables. Some, like Tara, are eagerly awaiting new technology like glasses or goggles, while others, like Harold, prefer to wait for second versions with improved features. Jordan shares his skepticism towards the Apple Vision Pro, citing battery life concerns and the product's lack of a clear problem to solve. The discussion also highlights that these new wearables can be categorized based on their computer vision capabilities. Those with computer vision, such as Humane Pins, Rabbit Glasses, and Meta Ray-Bans, offer more potential benefits due to their ability to process visual information. However, those without computer vision, like pendants, still provide voice recognition and large language model connections. Ultimately, the decision to invest in these new AI wearables depends on individual needs and the specific problem each device aims to solve.

    • Doubts and Criticism Surround New Smart DevicesThe market for new smart devices like Humane AI Pin and Meta Ray Bans faces skepticism due to privacy concerns and limited functionality improvements over existing technology.

      The current market of smart devices and wearables, including smart glasses and AI assistants, is facing skepticism and mixed reviews. The speaker expresses doubts about the necessity of investing in an additional device like the Humane AI Pin or the Meta Ray Bans, as most functionalities can already be accessed through a smartphone. The speaker also mentions privacy concerns with the Ray Bans, as they have noticeable cameras. The public reception to these new devices has been largely negative, with early reviews criticizing them as half-baked products that don't offer significant improvements over existing technology. The speaker concludes that these devices are still searching for a clear problem to solve.

    • Market saturation and confusion from similar AI productsDespite the hype and investment, it's crucial to evaluate the uniqueness and depth of an AI product before investing or adopting it, as the market is saturated with similar offerings leading to confusion and disappointment.

      The hype around AI and large language models, such as ChatGPT, has led to a significant influx of investment and market saturation, resulting in numerous companies offering similar products with little differentiation. This was evident around the launch of ChatGPT around early 2023, where even with a decent pitch deck or a working product, companies could raise millions of dollars due to the lack of VC knowledge in the field. Many of these companies were essentially "wrapper" businesses, using established technology like OpenAI's API and adding custom UI/UX and pre-programmed prompts. The market was flooded with such businesses, leading to confusion and disappointment for consumers. The early reviews of AI gadgets and wearables often described them as underwhelming, despite the substantial investment and hype. It's essential to consider the depth and uniqueness of a company's offering before investing or adopting their AI product.

    • Are new AI wearables truly innovative?While new AI wearables may offer exciting features, it's crucial to evaluate if they provide unique value and solve significant problems that existing technology cannot.

      While there is excitement around new AI wearables and their potential capabilities, it's important to question if they are truly solving unique problems that existing technology cannot. The hype around these devices often comes from name recognition and marketing tactics, rather than groundbreaking innovation. Many of the functions offered by these wearables, such as computer vision, large language models, and even transcribing conversations, are already possible with current devices and technology. The key is to identify specific problems that these wearables can solve more effectively than existing technology. As history has shown, technology advances that provide unique value and solve significant problems are the ones that endure.

    • Creating new AI hardware vs optimizing existing devicesFocus on optimizing existing devices like smartphones and smartwatches instead of creating new AI hardware to avoid potential challenges and high competition.

      The hype around AI and generative language models is leading many to overlook the challenges and limitations of creating new hardware devices. The combination of a renowned hardware designer, Johnny Ivy, and AI expert, Sam Altman, is reportedly raising a billion dollars to create an AI hardware company, potentially posing a significant threat to smaller competitors. However, it's important to remember that the focus should be on optimizing existing devices, such as smartphones and smartwatches, rather than creating new ones. The history of technology shows us that innovative products, like Google Glass, can be ahead of their time and face challenges in gaining mass adoption. Instead of chasing after the latest shiny object, it's crucial to consider the unique value and problems that new technologies aim to solve.

    • Is the hype around new AI-powered devices and wearables premature?Despite the excitement around new AI technologies, smartphones and cars may still be significant parts of our lives and their replacements are not yet proven feasible. Excessive investment in these new technologies should be approached with caution.

      While there is excitement around new AI-powered devices and wearables, it was argued during this discussion that we may not actually need them at this time. The speakers suggested that smartphones, which have been a crucial technological development, are still a significant part of our lives and may not be easily replaced. The same argument was made about cars and their potential replacements, such as robo taxis and drones. The speakers emphasized that while there are issues with current technologies, the feasibility and logic of their replacements are not yet proven. Furthermore, the speakers criticized the excessive investment in these new technologies by venture capitalists and private equity firms, arguing that the money would be better spent elsewhere. The discussion concluded with a call for caution and a reminder that not every new technology is a game-changer.

    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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    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
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    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:
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    Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

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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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    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
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    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. 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

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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

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    Website: 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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    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
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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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    Join the discussion: Ask Jordan questions on Microsoft AI

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    Website: YourEverydayAI.com
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    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

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    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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    Website: YourEverydayAI.com
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    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

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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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