AI's Impact and Ethical Concerns: A lawyer's use of ChatGPT highlights ethical concerns, Microsoft pushes for faster AI regulation, and NVIDIA introduces a new chatbot, showcasing advancements in generative AI.
AI is making significant strides and impacting various industries, but it also raises ethical and regulatory concerns. A lawyer in trouble for using ChatGPT to file charges highlights the potential risks and gray areas. Microsoft's call for faster AI regulation reflects the growing importance of this technology, but its implementation might be slow. Meanwhile, NVIDIA's new product, a chatbot for live video games, showcases the latest advancements in generative AI, requiring increasingly powerful GPUs from companies like NVIDIA. It's an exciting time for AI, but it's crucial to navigate its benefits and challenges responsibly.
Revolutionizing video games and aviation with AI technology: AI technology enhances video games by enabling meaningful NPC interactions and transforms aviation apps into personalized, efficient tools for pilots
The integration of AI technology is revolutionizing various industries and applications, including video games and aviation. In the context of video games, AI technology can transform repetitive interactions with NPCs into meaningful conversations, enhancing the overall gaming experience. In the aviation sector, Fly 2 Places, a new app for private pilots, utilizes AI to provide personalized travel recommendations and planning, catering to the unique needs of owner pilots and expanding to renter and student pilots. The idea for Fly 2 Places originated as a TripAdvisor-like platform for pilots, but the team recognized the potential to go beyond just flight planning and leverage AI to create a more comprehensive and valuable tool for the aviation community. By combining user data, real-time weather information, and machine learning algorithms, Fly 2 Places offers pilots customized trip suggestions and optimized flight routes, making their journeys safer, more efficient, and enjoyable. This innovative application of AI technology demonstrates the vast potential for enhancing everyday experiences and solving real-world problems.
A centralized platform for pilots to discover and share aviation travel info: A new solution provides a collaborative, verified database of aviation travel info using Chat2dp, OpenAI, and Pipedrive, streamlining the process and currently has over 25,000 destinations
There is a significant need for a centralized, organized platform for pilots to discover and share aviation-related travel information. Current methods, such as YouTube channels and Facebook groups, are scattered and time-consuming. The process of researching and compiling information for a destination itinerary can be tedious and inefficient. The founders of this solution recognized this pain point and sought to create a collaborative, verified database of aviation travel information. They developed a platform using Chat2dp, OpenAI, and Pipedrive, which currently has over 25,000 destinations. This platform not only provides essential information, such as crew car locations and customs procedures, but also allows users to add and verify their own destinations. Additionally, the platform uses Midjourney to create visually appealing images for each destination. Overall, this solution aims to streamline the process of discovering and planning aviation travel, making it more efficient and enjoyable for pilots and their networks.
Using AI tools for content creation: AI tools like Midjourney and ChatGPT can save time and money in content creation by generating personalized visuals and text, reducing development time by months.
Using AI tools like Midjourney and ChatGPT can significantly speed up the content creation process for new projects, particularly when it comes to generating visuals. The traditional approach of hiring photographers or purchasing images can be time-consuming and expensive. Midjourney, a text-to-image platform, allows users to input descriptions and receive high-quality images in return. This not only saves time but also provides a more personalized and situational visual. The use of these tools can reduce development time by months, making the content creation process smoother instead of a roadblock. The idea for the app in question came about recently, and the development team spent around 8 weeks creating it. While the results may not be perfect the first time, the learning curve is worth it for the time and cost savings. Overall, incorporating AI tools into the content creation process can be a game-changer for businesses and individuals looking to launch new projects efficiently.
Using AI for personalized travel planning: AI tools like ChatGTP can generate personalized travel itineraries with specific prompts, but limitations include forgetting to include traffic and transportation details. Developers are exploring using AI for more advanced functions, such as coding and application development.
When using AI tools like ChatGTP for travel planning, it's crucial to be specific with your prompts to get accurate and useful results. The app, Midjourney, for instance, uses detailed prompts for destination, duration, and type of trip to generate personalized itineraries. However, there are still limitations, such as forgetting to include information on traffic and transportation between locations. AI has been used to create content and images for Midjourney, but its potential for development goes beyond that, with some developers now using AI for coding and application development. Midjourney's creators, Emma and Terry, were quick to adopt ChatGTP, starting in January 2023, but the tool has undergone significant development since then. While the team is focused on improving the app's back end, the possibility of using AI for more advanced functions, such as development and coding, remains an option for future consideration. Overall, the use of AI in travel planning can save time and provide personalized recommendations, but it's essential to consider all the details and potential limitations when creating prompts to ensure accurate and helpful results.
Learning from User Feedback: Midjourney's Success Story: Midjourney's success hinges on continuous improvement from user feedback. Quality input leads to high-quality output, and specific requests can enhance features. Monetization plans include AI integration, personalized recommendations, and community building.
The success of Midjourney, a new app for pilots, lies in its ability to learn and improve from user feedback. The founders have received over 100 use cases and feedback from pilots in 40 states since its launch on May 4th. Lauren, a user, pointed out the importance of "garbage in, garbage out" principle, emphasizing that the quality of input determines the quality of output. Emma, the founder, shared her experience of improving the app's image generation feature by being more specific with requests. Midjourney plans to monetize the app by using more AI, developing it further, and offering personalized flight planning recommendations based on aircraft capacity and pilot experience. The community aspect of the app, which includes mentorship and collaboration, has the potential to significantly impact the pilot industry, particularly in addressing the current pilot shortage in the US and other countries.
Collaborating with AI in Business: Emma's use of AI for building a product community platform showcases its potential for organization, marketing, and problem-solving in businesses. Be open-minded and collaborative with AI for valuable industry knowledge and innovative solutions.
Collaboration with AI can significantly contribute to launching and growing a business. Emma's experience of using AI to build a product community platform demonstrates the potential of using AI as a tool for organization, marketing, and even problem-solving. For those looking to start a business but facing roadblocks, being open-minded and collaborative with AI can lead to valuable industry knowledge and innovative solutions. Furthermore, acknowledging the limitations of one's expertise and seeking help from AI can lead to more effective and efficient business operations. As the use of AI continues to evolve, we can expect more businesses to leverage this technology as a valuable team member.
Learning from Experienced Teams in AI Data Build and Development: AI is transforming data build and development processes, and learning from experienced teams can help build an MVP. Reach out for questions or collaboration, and stay updated through newsletters and comment sections.
The use of AI in data build and development processes is a growing trend, and there are opportunities for those interested to learn from experienced teams. Emma, a guest on the Everyday AI podcast, shared her team's experience in building the Fly to Places app using AI. She encouraged listeners to reach out if they have questions or want to build their own MVP. The Everyday AI team also plans to share more about Emma's process and the Fly to Places app in their daily newsletter. Overall, the conversation highlighted the potential of AI in development and the importance of continuous learning and collaboration in the tech industry. To stay updated, sign up for the Everyday AI newsletter and join the conversation in the comments section. Don't miss out on the AI magic!
EP 25: How AI Can Help You Launch Your Business
Recent Episodes from Everyday AI Podcast – An AI and ChatGPT Podcast
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
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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
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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
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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
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.
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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
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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
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
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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
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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
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.
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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
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Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.
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More on this Episode: Episode page
Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits
Related Episodes:
Ep 105: AI in Fundraising – Building Trust with Stakeholders
Ep 148: Safer AI – Why we all need ethical AI tools we can trust
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: 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.
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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
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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
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.
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Related Episodes
Open The Pod Bay Doors, Sydney
S5 Episode 13: Heather Dawe from UST on Generative AI
We’ve heard so much over the last few months about Generative AI and in particular, ChatGPT, so what does it all mean for companies, and what’s coming next?
To answer these questions and more, I spoke with Heather Dawe, UK Head of Data at UST. She is is a well-known Data Leader with over 20 years of experience working across the industry.
Heather has worked at a senior level as a Statistician and Data Scientist within government, the wider public sector and industry.
With expertise in the health, retail, telecommunications, insurance and finance domains, Heather seeks to problem-solve and innovate with real-world challenges, within large organisations, academia, start-ups and incubators.
She also pioneered the development of multi-disciplinary data science teams within the UK public sector.
Heather is passionate about helping others to develop their skills and expertise. She is an advocate for democratising AI as well as achieving greater diversity in those who develop it.
We covered a range of important topics in the field of Generative AI including:
- Defining AI and Machine Learning
- Where Generative AI fits in the AI family
- What the “GPT” in ChatGPT means
- How ChatGPT actually works
- Chat GPT3 vs ChatGPT4
- Is ChatGPT a step-change moment for AI?
- Are we expecting too much from AI?
- Do we need a pause on AI developments?
- How can we regulate new AI platforms?
- How Heather has been using ChatGPT
- Does ChatGPT have a political bias?
- The power of Generative AI for company data
- How Cybercriminals could be using Generative AI
- Heather’s work with clients at UST
- Generative AI predictions in 1, 3 and 5 years
- Three actionable things to better understand AI systems
More on Heather
Heather on LinkedIn
UST Website
Your Host: Actionable Futurist® & Chief Futurist Andrew Grill
For more on Andrew - what he speaks about and recent talks, please visit ActionableFuturist.com
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Andrew on LinkedIn
@AndrewGrill on Twitter
@Andrew.Grill on Instagram
Keynote speeches here
Andrew's upcoming book
AI: Is It Out Of Control?
EP 14: Infusing Some AI Into the HVAC Space
Infusing some AI into the HVAC space: An Everyday AI conversation with Rob West.
Make sure to tune in for the latest AI news and trends. The Everyday AI show helps make your job easier, get your work done faster, and grow your career.
Time Stamps:
[00:00:55] Generative AI for Personalized Ads
[00:03:15] Organizing Your Work with AI
[00:03:45] Musicians are Using AI More Than We Think
[00:05:08] At Home AI Market Will Grow to $500 Billion
[00:07:45] Armstrong Fluid Technology - Innovative tech in an old-school industry
[00:9:50] How To Infuse AI into the HVAC Industry
[00:13:19] The Future of AI and Energy Efficiency in Homes
[00:16:10] Using AI to Boost Slow Moving Industries
For full show notes, head to YourEverydayAI.com
EP 171: GenAI in 2024 - What’s coming and what it means for you
2023 has been the year of generative AI. We've talked with entrepreneurs, startup founders, and industry tech leaders, and there's a lot that we've learned behind the scenes. We're unleashing that knowledge and telling you our GenAI predictions for 2024.
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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
Timestamps:
[00:01:40] Daily AI news
[00:08:25] Jordan's predictions for 2024 (#24 to #6)
[00:52:20] Top 5 predictions
Topics Covered in This Episode:
1. AI Developments and Predictions for 2024
2. Trends in AI Usage and Impact
Keywords:
AI watermarks, Grok, large language model, Twitter, misinformation, disinformation, Apple, home assistants, Siri, Alexa, NVIDIA stock, GPU chips, Gemini Ultra, GPT 5, AI video, AI images, GPT, OpenAI, AI legislation, everyday AI, Jordan Wilson, Gen AI, AI agents, retrieval augmented generation, RAG, publishers, internet browsing, big acquisition, copyright battles, Gen AI training, job loss, workforce, knowledge work.