Everyday AI Podcast ? An AI and ChatGPT Podcast

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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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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: [email protected]
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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Why you need to listen to today's episode about GPT-4O ?
 
? Everyone's talking about GPT-4o but no one's actually investigating it.
? No, not everything is free.
? Yes, OpenAI is still not telling the truth about some stuff.
? Yes, we did all the homework for you so you just gotta show up and learn
 
7 things you need to know about GPT-4o and what OpenAI isn?t telling the truth about

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Related Episodes: OpenAI Releases GPT-4o: 12 things you need to know
Ep 272: How OpenAI?s Shot at Google (and GPT-4o model) Will Change How We All Work

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

2. Interaction with ChatGPT and Browse with Bing

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

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

5. Potential developments for ChatGPT Plus

6. Discussion of AI influencers and misinformation on the internet

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

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

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

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

11:10 ChatGPT desktop agent not available for free.

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

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

22:52 GPTplus chat paid version getting update.

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

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

31:52 Using large language models requires understanding context.

35:12 OpenAI misunderstanding about model size and usage.

38:33 Negative experience with sporadic Browse with Bing.

39:25 GPT 4 to query internet using Bing.

45:21 OpenAI sees potential in language model upgrade.

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

49:28 Connect with experts in generative AI space.

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

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

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

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Join the discussion: Ask Jordan and Kimberly questions on AI and product management

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

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

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

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

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

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GPT-4o looks cool. No doubt. But, here's what you probably aren't thinking about.
 
? It was definitely a shot at Google
? It will likely change the way the most efficient organizations work forever
? It is actually just a super powerful Trojan Horse
 
What's all that mean? We break down GPT-4o and what it means for us all.

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Join the discussion: Ask Jordan questions on GPT-4o

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

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

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

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

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

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

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

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Join the discussion: Ask Jordan questions on GPT-4o

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

2. Connectivity: A Major Player in Model Accuracy

3. The Generative Nature of Large Language Models

4. Perfecting the Art of Prompt Engineering

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

6. Authenticity Assurance in Large Language Model Usage

7. The Future of Large Language Models

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

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

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

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

14:59 Free chat GPT has outdated knowledge cutoff.

18:20 Microsoft is the largest by market cap.

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

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

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

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

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

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

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

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

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

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

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

Topics covered in this episode:



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

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

2. The Impact and Potential Threats of AI

3. OpenAI, ChatGPT, and the Upcoming Search Engine

4. Legal Issues Surrounding OpenAI and Microsoft

5. The Evolving Semiconductor Landscape

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

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The much-hyped Humane Ai pin? Dragged through the mud.
The Rabbit R1 AI assistant? Accused of being a box running Android.
Are these devices just too early? Or, do we really not need (or want) AI-powered devices following us everywhere? We'll weigh in with what you need to know.

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

Related Episodes:
Ep 201: Apple Vision Pro ? The AI-powered product that (hardly) no one needs
EP 184: On-Device AI: What it is and do we need it? What no one?s talking about

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

Timestamps:
01:50 Daily AI News
06:47 Discussion on need for wearable devices.
08:51 AI devices offer vision and conversation capabilities.
11:21 Wearables can record, take pictures, and assist.
16:48 Ray Bans can have a camera feature.
19:05 Negative reception for major AI gadget launch.
22:37 Using big company's technology to create startups.
24:09 Early AI SaaS companies mimic Apple's marketing.
28:54 Apple designer and generative AI join forces.
30:33 Big tech companies innovate devices, focus on optimization.
34:55 Encourage sharing and community building in AI.

Topics Covered in This Episode:
1. Evaluation of specific AI wearables
2. Concerns and skepticism about AI devices
3. Impact of big tech companies on AI devices
4. Debate about the functionality of AI devices

Keywords:
AI startups, Generative AI, GPU, Large Language Models, Meta, Google, Microsoft, Nvidia, VC, Private equity, AI wearables, Jordan Wilson, Johnny Ivy, Sam Altman, AI Hardware Company, Apple, Samsung, AI-powered devices, AI Pin, Rabbit r one, Ray Ban Meta Glasses, Limitless Pendant, OpenAI's GPT-4 API, Second Brains, Smartphone Integration, Clear lenses Ray-Ban, Humane AI Pin, AI Gadgets, AI Product Reviews, Index GPT

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There's so much uncertainty with AI and what's coming next. How will LLMs and other forms of AI impact our business? What can we do to prepare? Luv Tulsidas, Founder and CEO of Techolution, joins us to discuss how you can secure your business future with AI.

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Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 238: WWT?s Jim Kavanaugh Gives GenAI Blueprint for Businesses

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

Timestamps:
01:30 Daily AI news
04:40 About Luv and Techolution
07:00 Shifting business focus to AI
10:49 Businesses seeking clarity on implementing generative AI.
14:35 Companies seek AI for personalized, brand-aligned conversation.
19:00 AI creates disruption, new jobs will emerge.
21:53 AI limited by internet knowledge, lacks human abilities.
25:15 Protecting proprietary AI, monetizing content, avoiding lawsuits.
27:34 Start with successful companies' AI transformation.
32:33 Ethical views vary in different economic systems.
36:00 AI impact on future: Innovation, adapt, bright.
38:44 AI should be done the right way.

Topics Covered in This Episode:
1. Pressure to Adopt AI in Businesses
2. Coping with Uncertain AI Environments
3. AI's Ethical Implications and Perspective on Job Protections
4. Balance and Ethical Consequences of AI Deployment
5. Future Shifts in Job Roles

Keywords:
AI in business, tech boom, practical AI solutions, FOMO in AI, large neural network models, domain-specific training, AI apprenticing, job protection, economic systems, Universal Basic Income, job layoffs, pursuing passions through AI, proprietary AI, Google and AI, data compensation, ethical AI, AI ROI, AI-generated business processes, AI and job losses, securing business future with AI, ad-funded AI chatbots, US government and AI, OpenAI's plans, artificial general intelligence, human jobs and AI, disruption of jobs by AI, problem-solving with AI, data quality in AI, AI and video content, large language models.

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Chances are, AI is already selling to you. And in the end, we're all in sales. (One way or another.) Find out from a seasoned sales pro how you can spend less time working and actually sell more. Might not add up, but it does when you know these AI sales secrets. Featuring Ryan Staley, CEO and Founder of Whale Boss.

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Join the discussion:  Ask Jordan and Ryan questions on AI and sales

Related Episodes:
Ep 243: 5 Simple Ways To Use Generative AI Every Day
Ep 238: WWT?s Jim Kavanaugh Gives GenAI Blueprint for Businesses

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Timestamps:
01:50 Daily AI news
05:40 About Ryan and Whale Boss
07:43 Integrating AI in sales.
10:55 White collar work use tools, delegate to AI.
15:03 Generative AI saves time in sales processes.
18:30 AI integrates into sales, automating processes with oversight.
22:17 Built management system, tech stack, job description.
24:45 Strategies for content creation using Cast Magic.
29:22 Rapidly expanding tech tools; future sales changing?
33:06 Track and develop skills for transformation.

Topics Covered in This Episode:
1. Power and Potential of AI in Sales
2. AI Tools Used and Recommended
3. AI Skills Transformation

Keywords:
AI in sales, sales AI integration, AI training, AI-assimilation, AI-innovation, generative AI, micro tasks, large language models, sales call transcripts, AI sales preparation, knowledge workers, AI research tools, AI content creation, ChatGPT, Copilot, Cast Magic, Text Blaze, AI skill transformation, autonomous agents, AI-powered sales agents, human connection in sales, Jordan Wilson, Amazon AI assistant, GPT 2 chatbot, AI in non-selling activities, AI workflows, personalizing messaging, AI sales enablement tools, AI in sales strategy.

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Is the next version of ChatGPT already out? Many people are saying the just-released gpt2-chatbot is either ChatGPT 4.5 or ChatGPT 5 in the wild. So.... is it? We'll tell you what you need to know, break down the rumors and cut through the fluff.

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Related Episode:
Ep 248: Free ChatGPT vs. ChatGPT Plus ? What?s the difference?

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Website: YourEverydayAI.com
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Timestamps:
01:55 Daily AI news
07:31 LMSYS chatbot arena hosts large language models.
13:32 Sam Altman confirms GPT-2 model existence
17:16 Large language models require significant energy and funding.
20:54 Newer November version of GPT-3 confirmed.
23:51 Possible glimpse of future technology, notable improvements.
25:43 Large language models evolving to act as agents.
29:43 Text is currently only text-based, may change.
33:34 Recognizes OpenAI chatbot with GPT technology.

Topics Covered in This Episode:
1. GPT2- Chatbot functionality and limitations
2. Origin of the GPT2-Chatbot
3. Speculation around ChatGPT and GPT2- Chatbot
4. Forecasts for Future AI Models

Keywords:
Chatbot leaderboard, Elo scores, GPT 2 chatbot, limitations of GPT 2 chatbot, origin and ownership of GPT 2, generative AI models, future of AI usage, AI giveaway, AI newsletter, chatbot rankings, GPT 4 Turbo, Claude 3 Opus, Gemini from Google 1.5, large language models, Microsoft, Google, OpenAI, Meta, multimodal chatbot, parameters size of new model, Jordan Wilson, Med Gemini, Apple AI team, AI-generated disc track, live stream audience, chatbot arena website, energy consumption by large models, environmental concerns, problem-solving abilities of new model

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Is there a legit Sora competitor now? What does NVIDIA's $700 million acquisition mean for the GenAI world? Is Apple ditching Google and teaming up with OpenAI for future AI-powered iPhones? We'll answer those questions today and more with this week's AI News that Matters!

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Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about
Ep 240: Latest Apple AI rumors, $100-billion Stargate partnership between Microsoft and OpenAI ? AI News That Matters

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Timestamps:
03:17 AI video competitor for Sora
05:05 Discussion on OpenAI's Sora model and implications.
08:15 NVIDIA acquires Run:ai
10:55 Apple in talks with OpenAI
14:50 US government forms AI safety advisory panel.
20:12 Adobe incorporating new AI capabilities across platforms
25:00 Meta makes Ray Bans multimodal
26:30 Contest ends tonight, refer friends to enter.

Topics Covered in This Episode:
1. New Sora Competitor
2. Nvidia's Acquisition of Run;AI
3. Apple's AI Integration Plans
4. Advisory Panel on AI Security for Homeland
5. Adobe Photoshop's Generative Fill Feature

Keywords:
AI news, Sora, NVIDIA, acquisition, Apple, OpenAI, iPhone, AI video competitor, everyday AI, podcast, newsletter, Meta Ray Bans Smart Glasses, generative AI, Vidu, Sheng Shu AI, Tsinghua University, AI model, UVIT model, Run AI, AI infrastructure management, DGX Cloud AI platform, Google, Gemini model, large language model, Adobe, Firefly 3, Photoshop, AI regulations, AI safety.

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Do we want ChatGPT to remember everything about us? Or, is this a new ChatGPT solution looking for a problem? We're covering ChatGPT's new cross-chat memory feature and how it might change the way you prompt. (For better or worse.)
 
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Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 246: No that?s not how ChatGPT works. A guide on who to trust around LLMs

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Timestamps:
01:55 Daily AI news
07:16 New ChatGPT memory feature
08:08 Large language models struggle with remembering conversations.
10:16 OpenAI posted about a new feature.
15:06 Training AI to generate personalized responses efficiently.
22:11 Temporary chats won't improve our GPT models.
24:29 Problematic chat behavior requires better AI training.
27:07 Custom instructions control informal tone and memory crossover.
30:23 New memory feature slowing down response times.
34:01 New memory feature works best with limits.
36:00 AI newsletter referral contest for Meta Ray-Ban glasses.

Topics Covered in This Episode:
1. ChatGPT?s New Memory Feature
2. Benefits and Drawbacks of the Memory Feature
3. Suggestions for Improving ChatGPT
4. Application and Actual Use

Keywords:
Temporary chat, UI, memory feature, ChatGPT, AI news, Elon Musk, XAI startup, AI podcast, AI newsletter, AI giveaway, smart glasses, Doctor Harvey Castro, Michael, YouTube, user engagement, memory management, corrections, Checkatrade, chat history, training data, profile improvements, referral contest, meta Ray Bans, OpenAI, paid users, settings, UI/UX improvement, auto-commit memory.

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To celebrate our 1 year anniversary, we're going to take a step back to where it all began with episode one and answer the hard-hitting question that no one wants to talk about when it comes to AI and job displacement. Will AI take our jobs?

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Join the discussion: Ask Jordan questions on AI and jobs

Related Episodes:
Ep 222: The Dispersion of AI Jobs Across the U.S. ? Why it matters
EP 1: Will AI Take Your Job?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
02:00 Housekeeping items
05:00 Will AI take your job?
11:10 Generative AI advancing fast, concerns, hope remain.
15:46 2/3 jobs exposed to AI, 300M at risk.
23:26 False information spread by self-proclaimed influencers.
26:36 Smart people build AI, youth teach, AI superior.
36:26 Being creative involves processing past creativity for new ideas.
40:03 Generative AI now affordable, powerful, and reliable.
47:48 Facts presented: AI interest increasing in companies.
51:09 AI not always linked to increased employment.
58:14 OpenAI and Microsoft invest $100B in AI.
59:33 Smart software automates tasks with specialized models.
01:08:51 Workers are leaving big companies to start their own businesses due to AI.
01:09:45 Generative AI reshapes business and products.
01:16:40 Check out today's newsletter and enter giveaway.

Topics Covered in This Episode:
1. Current state of Artificial Intelligence
2. AI's impact on employment
3. Future of AI and jobs
4. The economics of AI
5. Misconceptions surrounding AI and jobs
6. AI in public and corporate view
7. Preparing for AI integration and job transpositions

Keywords:
Generative AI, AI affordability, AI accessibility, AI reliability, AI job impact, company layoffs, job automation, S&P 500, AI mentions in earnings calls, AI industry agents, OpenAI, Anthropic, Google, MetaLama, Cognition Labs, DeepMind, AI and knowledge work, domain-specific AI models, human intelligence and AI, AI democratization, AI exposure in jobs, AI impact on economy, AI and business survival, gig economy and AI, AI personalization, AI generalists, ongoing AI learning, AI giveaways, AI mentions in company earnings, AI expertise.

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When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.

How do they do it?
 
And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?

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Join the discussion: Ask Jordan and James questions on GenAI and recycling

Related Episode:
Ep 224: AI and its Impact on Society - How it might look

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Timestamps:
01:50 About James and Lanzatech
04:49 Using AI to engineer biology for refining.
09:47 Create biological language model to engineer microbes.
13:00 Misconception about value from large language models.
15:58 Importance of creating and using specialized models.
17:10 AI accelerates technology development, leading to efficiency.
22:09 AI enhances scientific experiments with human oversight.
24:32 Golden age of technology with AI excitement.

Topics Covered in This Episode:
1. About James Daniell and Lanzatech
2. How generative AI helps recycling
3. Use and benefits of AI within LanzaTech
4. Potential of GenAI solving environmental problems

Keywords:
Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.

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Is this AI tool too good to be safe? Maybe.  We'll be taking a look at Microsoft's impressive VASA-1 deepfake cloning technology. 
We'll answer the important questions:
? What is this technology? 
? Why do we need it? 
? Is it so good that it's dangerous? 

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Join the discussion: Ask Jordan questions on Microsoft VASA-1

Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about
Ep 157: Future of AI Video ? Pika Labs 1.0, Runway updates, Meta Emu and more

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

Timestamps:
01:20 Daily AI news
05:15 Is VASA-1 dangerous?
09:12 Potential dangers of AI outweigh potential benefits.
12:14 Voice inflection changes, impressive text to speech.
15:29 Generative content creation: impressive, concerning, and exciting.
18:54 Quickly scalable technology opens exciting possibilities but troubling.
21:23 Real-time face swapping with surprising computing power.
24:35 Realistic motion control, capturing human-like tendencies.
29:26 Use digital avatars for efficient training purposes.
30:16 Microsoft research paper VASA 1 creates human-like avatars.
34:20 Discussing generative AI's potential benefits versus risks.

Topics Covered in This Episode:
1. Explanation of VASA-1's capabilities
2. Concerns around Microsoft's VASA-1
3. Discussion on deepfakes
4. Potential Risks and Ethical Considerations
5. Potential Benefits and Positive Use Cases

Keywords:
Microsoft's VASA 1, deep fake model, Everyday AI, livestream podcast, AI news, Adobe, Photoshop, Google, DeepMind, Microsoft PHY 3 mini model, OpenAI's SoRUP, AI deepfakes, talking head images, Jordan Wilson, misinformation, disinformation, generative AI, AI's impact on jobs, lifelike talking faces, digital twin technology, AI avatar, AI-generated speech, Mona Lisa, Baidu's Emo, Synthesia, HeyGen, Hour 1, DID platform, training, personalized learning

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Will Meta's Llama 3 take the LLM crown? Is Microsoft's VASA-1 so good that it's dangerous? What does the new Atlas model from Boston Dynamics mean for the intersection of AI and robotics? We'll catch you up on all of that and more, with this week's AI News that matters.

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Join the discussion: Ask Jordan questions on AI

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Timestamps:
02:20 New developments in Meta's llama.
05:03 Try Llama 3, important updates, December 2023.
08:30 Anthropic's models range from 8B to 400B parameters.
12:43 Artificial intelligence creates hyperrealistic talking head videos.
14:55 VESA 1 technology creates videos from one image and voice.
19:19 Boston Dynamics introduces electric Atlas robot model.
23:09 Next iPhone may partner with Google or OpenAI
26:40 Instagram post hints at Caitlin Clark's success.

Topics Covered in This Episode:
1. Introduction of Meta Llama 3
2. Microsoft's Introduction of VASA 1
3. Miscellaneous AI and Tech News

Keywords:
Jordan Wilson, Meta, Llama 3, Microsoft, visa 1, chat GPT 5, Meta AI, open model, closed source models, OpenAI, Google, public use, Facebook, knowledge cutoff, download, fork, benchmarking, parameters, model, Mark Zuckerberg, CEO, Google Gemini, Anthropic's Quad 3 OPUS, VASA 1, AI framework, hyperrealistic talking faces, lip syncing, AI-based movie making, Atlas robot, TED Talks.

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We've been doing this whole 'talk about AI every day' thing for about a year. So you decided (literally, in a poll) that you wanted to grab the metaphorical mic and flip the script. It's your turn to interview me on the first (and maybe last?) edition of Freestyle Friday: Ask Me Anything (about AI).
 
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Related Episodes:
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI ? Celebrating 200 Episodes
Ep 176: GenAI Catchup ? What?s coming in 2024

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

Timestamps:
02:25 Daily AI news
06:52 Meta's large models outperform leading models.
12:15 ChatGPT feature automatically commits information to memory.
13:11 OpenAI struggles with sharing context window effectively.
20:38 Uncertainty surrounding AI monetization and impact on SEO.
23:56 Testing abilities of AI models compared to humans.
36:33 Detecting text-based disinformation is more challenging.
38:01 Struggling to keep up with industry changes.
41:48 OpenAI and Meta update knowledge cutoff dates.
48:10 Third-party tools lack necessary features for business.

Topics Covered in This Episode:
1. AI-related queries
2. AI in business and startups
3. Use of AI models
4. Legal and ethical challenges in AI

Keywords:
AI, ChatGPT, cross chat memory, AI apps, third-party tools, everydayai.com, Freestyle Friday, large language models, Meta, Microsoft Copilot, AI acquisitions, data collection, AI chats, AI and disinformation, AI anxiety, AI startup market, Llama 3, open-source models, closed source models, MMLU system, Mistral, Cast Magic, Voila, AI in education, AI in sports, US military dogfight, NVIDIA, LAMA 3.

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What the heck is a GPT and do I need one? The answer is yes. GPTs take ChatGPT to the next level, allowing you to create custom workflows for your needs. Whether you're a beginner or you've built a GPT or 5, this episode is for you.

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Related Episodes:
Ep 183: Turning GPTs Into Gold ? Monetization Strategies and Practical Applications
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
01:25 Daily AI news
07:00 Basics of GPTs
08:52 Knowledge workers can benefit from GPTs.
11:49 Creating custom GPTs allows fine-tuned control.
15:40 Many publicly available GPTs for custom use.
19:04 Customized ChatGPT utilizes industry-specific knowledge.
22:01 Multiple GPTs used in chat for autonomy.
25:45 Sell custom GPTs and make some money.
27:47 Quick rapid-fire Q&A for live audience.
32:08 Identify repetitive tasks to create GPT.
35:01 Customize ChatGPT for specific tasks and needs.
39:44 Provide input-output pairs to improve GPT performance.
43:41 Use web reader GPT
48:59 Using GPT helps complete tasks efficiently.

Topics Covered in This Episode:
1. Custom GPTs: An Overview
2. Utilization of GPTs in Everyday Tasks
3. Creating Custom GPTs
4. Monetization of GPTs in GPT Store
5. GPTs in Action: Automating Work Operations

Keywords:
artificial intelligence, podcast, Bing, priming the AI, GPT, chat GPT, custom GPT, GPT store, workflow automation, repetitive tasks, knowledge tasks, ChatGPT Plus, GPT customization, business development, career growth, Slack's AI tools, Boston Dynamics' robot, Microsoft's AI model, GPT course, Copilot Pro, monetization, browser plugin, document recall, targeted research, configuration instructions, conversation starters, custom knowledge base, paying users.

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Let's agree on this: so many schools are dropping the ball on GenAI. So, what should schools be doing NOW to make sure they can benefit from an AI future? We find out with Darren Coxon, Founder of Coxon AI.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Darren questions on AI in education

Related Episodes:
Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 178: Teaching The Next Generation About AI

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

Timestamps:
01:20 Daily AI news
04:05 About Darren and Coxon AI
07:57 Fear and misunderstanding of AI in education.
10:52 AI alignment with school leaders crucial for success.
15:59 AI in education example using Gemini and Claude.
17:51 AI as learning support, teachers should improve.
20:38 Schools under pressure to adopt AI strategies.
24:29 Feeling like part of an experiment, teaching above.
27:08 Kids learning DNA through friendly AI conversations.
30:38 Start using it with younger non-exam students.

Topics Covered in This Episode:
1. AI as a Support Tool, Not a Replacement
2. Schools and Their Relation to AI
3. Integration of AI Into Curriculum and Teaching Approaches
4. Slow Pace of Change in Education Systems
5. Adopting AI in Low-Stakes Educational Situations

Keywords:
AI in education, Darren Coxon, AI strategy in schools, artificial intelligence, engaging students, pedagogy, chatbots in education, cyberbullying, plagiarism, safeguarding, digital strategy in schools, human skills, critical thinking, creativity, education system change, generative AI, hyper-personalized learning, human-focused activities, everydayai.com newsletter, AI integration concerns, fear of AI, large language models, leadership alignment, AI misconceptions, future of education, AI fun, AI adoption, Microsoft & g42 partnership, AMD GPU chips, NVIDIA GPU chips.

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Ready for a little LLM secret? Big tech companies are lying to us. They tell us their models are connected to the internet in real time. Are they really? Not really. We're doing an LLM breakdown, as we compare the internet connectivity of popular large language models like ChatGPT, Gemini, and Copilot. 

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Join the discussion: Ask Jordan questions on LLMs

Related Episodes:
Ep 246: No that?s not how ChatGPT works. A guide on who to trust around LLMs
Ep 204: Google Gemini Advanced ? 7 things you need to know

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
02:00 LLMs we are testing
05:33 RAG importance in AI and internet connection.
06:50 Browsing with Bing queries words in URL.
13:04 Comparing AI accuracy
15:40 Rating and evaluating ChatGPT and Copilot performance.
19:34 Acknowledgement of Google's helpful search feature.
26:14 Uploading files to ChatGPT.
29:21 Unofficial language model results from Internet connection.
31:14 Large language models being integrated everywhere.

Topics Covered in This Episode:
1. Testing Large Language Models
2. Using Large Language Models in Business
3. In-Depth Comparison of Different Language Models
4. Implications for Future Use

Keywords:
ChatGPT, Google Gemini, Microsoft Copilot, large language models, internet information retrieval, web reading platforms, information interpretation, accuracy, business use, safeguards against inaccuracies, up-to-date information, real-time data, live testing, language model performance, Everyday AI, Jordan Wilson, market cap, largest US companies, podcast episodes description, language models comparison, browse with Bing feature, web reader GPT feature, outdated information, information veracity, data retrieval, PDF hidden information, artificial intelligence, integrated AI, internet connectivity, knowledge workers.

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Will Google be (more?) relevant now with its AI announcements? Why did Adobe reportedly train its AI image model with.... AI images? And is OpenAI in trouble with YouTube? We've got those answers and more with our weekly AI News That Matters segment.

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Related Episodes:
Ep 204: Google Gemini Advanced ? 7 things you need to know
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about

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

Timestamps:
02:30 Google's new AI features from Cloud Next.
05:40 Google announces Google Vids and Gemini 1.5.
08:23 OpenAI's recent firings and internal investigation.
13:23 YouTube CEO warns against unauthorized use of content.
16:28 Debates on copyright and AI-generated content.
19:29 AI image generators raise copyright ownership concerns.
21:45 Adobe under scrutiny for using copyrighted material.
25:10 Adobe pays creators, future job security uncertain.

Topics Covered in this Episode:
1. Google's AI announcements
2. OpenAI's data leak and staffing changes
3. YouTube's CEO's concerns about OpenAI
4.  Controversies around Adobe's AI image model, Firefly
5. Adobe's incentives for AI training data collection

Keywords:
Google AI, Adobe, OpenAI, data leak, AI news, generative AI, AI developments, AI tools, software, Google's new AI features, Google Workspace, AI podcast, Google Cloud Next Conference, Google Vids, AI video, AI image, Midjourney, Firefly, AI model garden, everyday AI, training AI models, copyright infringement, Neil Mohan, YouTube, artificial intelligence, ChatGPT, YouTube's terms of service, AI transparency, Sora model, AI ethics.

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Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.

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Join the discussion: Ask Jordan questions about small language models

Related Episodes:
Ep 204: Google Gemini Advanced ? 7 things you need to know
Ep 223: Anthropic Claude 3 ? Better Than ChatGPT and Google Gemini?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
02:40 Exploring small language models vs large models.
03:42 Definition of small language models is changing.
08:49 Small language models are for specific purposes.
11:55 Small language models are faster and local.
14:45 Tim Cook announces new language model for devices.
21:25 2024 shift to smaller, focused language models.
27:56 RAG: Combining data, small language models' future.
28:52 Concern for large language models, potential for small models.

Topics Covered in This Episode:
1. Introduction to Language Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models

Keywords:
Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation

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ChatGPT is still the biggest and best AI chatbot in 2024. Yet so many people are still confused about the difference in modes. So, we're gonna tackle one of the biggest questions we get - what's the difference between the free version of ChatGPT and the paid version of ChatGPT Plus? 

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

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

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

Timestamps:
02:15 Daily AI news
07:15 New updates with GPT-4 Turbo
13:18 ChatGPT still limited, information may be incomplete.
16:19 Paid account gets 40 messages every 3 hours.
17:18 Updated free 3.5 model faster, but still slow.
22:21 Efficiently complete multiple tasks within one chat.
24:57 Utilize ChatGPT for automating knowledge work.
28:26 Integration with Bing allows direct web connectivity.
33:27 Update: ChatGPT available without account.
38:02 Advantages of ChatGPT Plus
41:46 Copilot Pro enhances Microsoft 365 functionality for users.
42:46 Microsoft-centric tool, except for Teams integration.
48:57 GPT4 benchmarks old, still better than others.
51:42 PDF or GPT upload varies by performance.
54:31 ChatGPT upcoming features
56:25 Paid and free user input improves ChatGPT.

Topics Covered in This Episode:
1. Recent ChatGPT Updates
2. Free ChatGPT vs ChatGPT Plus
3. Limitations of Free ChatGPT
4.  Advanced Features of ChatGPT Plus
5. ChatGPT Plus vs Other Platforms
6. Speculations about Future Versions of ChatGPT

Keywords:
OpenAI, ChatGPT technology, GPT technology, free version of ChatGPT, paid version of ChatGPT, GPT-4 Turbo, UDO AI music generator, Suno, Amazon generative AI, Andy Jassy, Google Cloud event, enterprise AI models, AI integration in Google Meet, memory recall of ChatGPT, GPT tokens, custom GPTs, confidential documents, knowledge cut-off, ChatGPT 4 Turbo, large language models, integrations in ChatGPT, data analysis, code interpreter, OCR, DALL E image generator, Microsoft Copilot, Perplexity, beta features in ChatGPT

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How should you view Artificial Intelligence? Can it be your new best friend, helping you with every task of your day? Or, could it be a legit nightmare and tech terror? Sheetal Rishi, AI Transformation Leader, joins us to help you understand the steps to take to make sure that Generative AI is more friend than foe.
 
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Related Episodes:
Ep 224:  AI and its Impact on Society: How it might look
Ep 206: There is No AI Hype ? This is how the world works now

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Timestamps:
01:20 Daily AI news
05:00 About Sheetal Rishi
09:24 AI adoption growing, democratization of technology capabilities.
12:26 Technology can generate answers from various sources.
14:28 AI infrastructure costs have decreased significantly.
19:16 Use machine for tasks, elevate your value.
22:57 Enterprises seek change, face resistance and innovation.
26:24 Emphasize enterprise-approved technology for faster data access.
27:53 AI must be embraced strategically to benefit.

Topics Covered in This Episode:
1. Evolution and democratization of AI technology
2. AI in the Corporate Sector
3. AI in Education and Skills
4. AI Integration in Daily Life
5. AI's Disruptive Influence

Keywords:
AI technology, evolution of AI, democratization of AI, electricity impact, individual AI adoption, enterprise AI adoption, data literacy, barriers to AI implementation, conversational systems, AI infrastructure cost, business transformation, Watson's AI success, AI potential threat, corporate challenges, GitHub Copilot, Power BI, Google's features, innovation in enterprise, enterprise education, job security, human and AI coexistence, change management, generative AI, legacy enterprises, fusion strategy, Tesla, artificial intelligence, machine learning, deep learning.

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Whether you're browsing social media or searching the web, there's so much bad advice out there about ChatGPT. We're cutting down the rumors about what ChatGPT is and how to use it. Here's a beginner's guide on knowing who to trust around Large Language Models.

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Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 109: LLM Showdown ? ChatGPT, Bing Chat, Google Bard, Claude 2 and Perplexity

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Timestamps:
02:00 Daily AI news
05:45 Lots of bad info around ChatGPT
08:00 Comparing Copilot and ChatGPT as similar
11:45 ChatGPT generates diverse outputs from similar inputs
13:40 Comparison of human and ChatGPT writing styles
17:08 Stop sharing incorrect GPT technology usage screenshots
22:40 trained AI outperformed human.
27:35 Ignore exaggerated prompts, focus on authentic communication.
32:26 Words analyzed by OpenAI's tokenizer.
35:29 Free ChatGPT like landline, GPT4 like smartphone.
36:29 Zapier enables custom GPT, data integration, workflow.

Topics Covered in This Episode:
1. Overview of ChatGPT
2. Misconceptions around ChatGPT
3. Usage of Generic Business Prompts
4. Superiority of Large Language Models
5. Risks of Sole Reliance on Tools like ChatGPT with Bing

Keywords:
Chat GPT, ChatGPT Plus, GPT4, generative AI, large language models, NVIDIA GeForce RTX GPU, Free daily newsletter, outdated data, Bing, Jordan Wilson, Nike slogan writer, ChatGPT with Bing, SEO manipulation, Everyday AI podcast, GPU giveaway, US government semiconductor investment, copywriting, AI applications, custom-built ARM processor, Axion, Google Workspace, prime prompt polish chat GPT course, Lewis testimonial, business prompts, misleading information, refining large language model, tokenization of words, refine queue, zero-shot prompting, career growth.

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Is Google really going to charge money for AI search? Will job loss be so bad that we'll need to be saved by....big tech? And is AI music actually so good that the world's biggest musicians are worried? We'll be talking about that and more on Everyday AI's news that matters for the week of April 8, 2024.

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

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Timestamps:
01:50 Google introducing AI search with new ad formats.
07:51 Startup seeks funding for integrating AI into devices.
11:54 Claude's new tool will change global usage.
15:09 Musicians and authors unite against AI threats.
18:59 OpenAI, copyright, and lawsuits in tech companies.
22:12 Major tech companies form AI workforce consortium.
28:02 AI transformative, impacting workforce; JPMorgan embraces evolution.
30:10 Companies shifting stance to embrace generative AI.

Topics Covered in This Episode:
1. Google's proposed idea of charging for AI-based search.
2. AI in the Music and Writing Industries
4. Big tech companies forming a consortium targeting job loss due to AI.
3. JPMorgan Chase?s new position on generative AI.

Keywords:
Jordan Wilson, Ken, large language models, VC money, Anthropic AI, Claude AI models, Opus model, AI music generation tools, Billie Eilish, Nicki Minaj, Katy Perry, James Patterson, Suzanne Collins, AI news, Google, AI-based search, search generative experience, Jony Ive, Sam Altman, OpenAI, JPMorgan Chase, generative AI, ChatGPT, tech industry, Spotify, Apple Podcasts, copyright law, lawsuit, Adobe, tech layoffs.

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If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS.

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Related Episodes:
Ep 238: WWT?s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI ? Insights From HPE

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Timestamps:
01:20 About Shruti Koparkar and AWS
02:50 More on AWS and Generative AI
09:54 X-rated computing used to fine-tune models.
12:46 Adobe focused on AI tools, using AWS.
17:50 AI evolution and AWS preparedness for influx.
21:01 Experienced ARM engineer excited about NVIDIA's potential.
24:08 Identify use cases for small-scale applications.

Topics Covered in This Episode:
1. AWS and its Role in Generative AI
2. AWS and Foundation Models
2. AWS's Involvement with Companies Implementing Generative AI
4. Future Preparations of AWS for Generative AI Developments

Keywords:
generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing

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If I had to count, I probably use Generative AI at least 100 times a day.  Some are advanced. Some are super simple. I'm going to be sharing some of the simplest ways that I use Generative AI to create Everyday AI and tell you the ways that you can use my same tactics to start winning back time today.
 
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Related Episodes:
Ep 189: The One Biggest ROI of GenAI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

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Timestamps:
01:30 Daily AI news
07:17 Knowledge workers adapt to succeed in AI era.
10:44 Behind the scenes of Everyday AI production.
18:21 Steal this method to learn about your career.
19:10 Customize Google search for efficient news updates.
23:01 Using shortcuts to gather information efficiently.
27:15 Using CastMagic and its features.
29:13 Automated transcription
33:57 Microsoft 365 Copilot helps with team work.
37:05 Addicted to Chrome, but now liking Edge.
40:20 Request to find specific generative AI statistics in PDF.
44:17 Chat prompt reused for specific AI training.
45:02 Optimize chat model use with refined method.
50:12 Use perplexity for efficient research queries, not Google.
52:03 Generative AI can save knowledge workers time.

Topics Covered in This Episode:
1. Practical uses of Generative AI
2. Tips for saving time using AI
3. Summarizing web pages for quick updates
4. Organizing and training ChatGPT for specific tasks

Keywords:
Microsoft 365 Copilot, Microsoft 365 Teams, Cast Magic, Chat GPT, Microsoft Edge, Chromium, Chrome Extensions, Copilot Integration, Perplexity, Google Search, Generative AI, McKinsey Digital, AI News, Amazon Web Services, Voila, Organizing Chat GPT, AI in Research, Custom Prompts, Knowledge Workers, New York City AI-powered Chatbot, Google's AI Reply Suggestions, Premium AI Features, AI Automation, Chat GPT Summaries, AI Content Generation, Everyday AI, AI News Headlines, Third-Party Information Connection, Bullet Points Summaries, Web Content Summarization.

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An underutilized superpower of generative AI? The way it can completely change how research is done. So how is AI impacting academic and scientific research and what tools are out there to help? Avi Staiman, Founder of sciwriter.ai, joins us to discuss AI tools to supercharge your research.

 
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Related Episodes:
Ep 89: AI?s Role in Responsible Research
Ep 121: Faster and More Accurate Results From ChatGPT with ScholarAI

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Timestamps:
01:20 Daily AI news
05:16 Simplify writing process for academic researchers with AI.
07:36 Democratization of science and skepticism in society.
10:33 ChatGPT has diverse data sources, impacts reliability.
18:36 AI researchers responsible for high standard, education.
19:32 Using AI in research
22:37 AI tools improving accessibility and accuracy.
27:30 Explore pain points, offer AI research tools.
31:17 Questioning scientific studies, AI's importance emphasized.
35:05 Encourage critical thinking when using AI tools.
37:18 AI can enhance research and understanding information.

Topics Covered in This Episode:
1. Importance of Research Accessibility and Transparency
2. Utilizing AI Tools in Research and Writing
3.  Integrity and Reliability of AI-Generated Content
4. Responsible Use of AI and Source Attribution
5. Problems of AI-generated Content in Research

Keywords:
skepticism around science, accessibility in research, transparency in research, AI tools, democratization of research, research integrity, research reliability, research fraud, misuse of AI tools, scientific literature, attribution in research, Jordan Wilson, ChatGPT, Sykespace, Illicit, Sciwriter, academic writing, AI Tool Up Tuesdays, curated content, Everyday AI, academic research, CodeRepair, Stable Audio 2.0, peer-reviewed journal article, publish or perish pressure, Consensus Scholar AI, Perplexity, Proofig, Image Twin.

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Is your company banning AI? If so, they should prepare to shut down. When ChatGPT started the GenAI wave about 18 months ago, so many companies, enterprises, and universities made brash decisions. Instead of understanding it and using it to grow, they banned it. Here's why that's wrong.

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Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI ? Celebrating 200 Episodes

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Timestamps:
02:30 Daily AI news
07:40 Banning AI? Company will fail.
11:18 Banning generative AI is like banning the Internet.
14:53 Companies followed JPMorgan in banning generative AI.
18:12 Need to embrace generative AI, prioritize security.
21:28 Trust employees with internet, extend trust to AI.
24:23 85% boost in productivity, embrace data security.
30:51 Industry giants will be overtaken by younger competitors.

Topics Covered in This Episode:
1. Consequences of Banning Generative AI
2. Importance of Adapting to New Technologies
3. Generative AI and Data Security
4. AI Legal Implications and Regulatory Compliance
5. Productivity Benefits and Risks of AI

Keywords:
Everyday AI, consequences of banning generative AI, failure of companies, industry concerns, sensitive data concerns, innovation, Blockbuster, Blackberry, Sears, technological changes, AI implementation, AI strategy, fear of generative AI, embrace generative AI, data security measures, cloud storage, email, misinformation, intellectual property issues, legal implications, regulatory compliance, productivity benefits, adaptation, VHS and DVD companies, online shopping, bankruptcy, Cisco Data Privacy Benchmark Study, restriction on generative AI, ChatGPT.

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Have you seen the latest Apple rumors regarding AI? What does the $100-billion Stargate partnership between Microsoft and OpenAI actually mean? And will NVIDIA's competitors be able to catch them after forming the UXL Foundation? Here's this week's AI news that matters!

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Related Episodes:
Ep 201: Apple Vision Pro ? The AI-powered product that (hardly) no one needs
Ep 236: NVIDIA GTC Recap ? 3 ways NVIDIA is going to change the AI world

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Timestamps:
02:15 Apple to reveal AI strategy at WWDC.
04:45 Apple likely partnering with OpenAI or Google.
09:54 Stargate to host powerful AI chips, meeting demand.
12:56 Big investment in AI chips and infrastructure.
19:45 Partners granted early access to OpenAI's voice engine.
26:21 NVIDIA's rapid growth and innovation.
27:03 NVIDIA's new chip outperforms competition, unites rivals.

Topics Covered in This Episode:
1. Apple's AI strategy
2. Microsoft and OpenAI's AI Supercomputer Project
3. OpenAI's New Voice Engine
4. Collaboration between tech giants to counter NVIDIA.

Keywords:
OpenAI, Voice Engine, clone voices, privacy implications, misuse of AI voice technology, US government, AI regulation, bans on AI voice cloned robocalls, Intel, Google, ARM, Qualcomm, Samsung, Unified Acceleration Foundation (UXL), NVIDIA, AI market domination, proprietary tech, hopper chip, Blackwell chip, super team, 2013 Miami Heat, Jordan Wilson, generative AI, Apple AI strategy, Siri, Apple's Iwork apps, AI supercomputer, Stargate, $100 billion project, Microsoft

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How will AI change the way we shop online? Whether you own an e-commerce business or not, AI is changing the entire online shopping experience and will have an effect on all of us. Jo Lambadjieva, Founder of Amazing Wave, joins us to discuss how AI is impacting e-commerce.

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Related Episodes:
Ep 82: Using AI To Grow Your E-commerce Presence

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Timestamps:
01:50 Daily AI news
05:00 About Jo and Amazing Wave
07:37 AI's impact on e-commerce
10:35 AI changes consumer behavior in searching/browsing
14:10 Amazon Rufus and user experiences.
19:42 AI enhances business productivity and product development.
22:39 AI revolutionizes e-commerce through customer persona understanding.
25:16 AI-generated content may erode customer confidence.
29:15 Prepare for major changes in online shopping.
30:44 AI impact on email and e-commerce discussed

Topics Covered in This Episode:
1. Current State of AI in E-commerce
2. Democratization of E-commerce
3. Behavioral changes of customers due to AI
4. Importance of Customer Persona in AI
5. Future Predictions of AI in E-commerce

Keywords:
AI in e-commerce, Jo Lambadjieva, e-commerce automation, customizing customer experience, e-commerce sellers, content targeting, democratization of e-commerce, AI backlash, optimizing processes, Amazon stores, data analysis, process automation, ChatGPT, Zapier integrations, customer journey, Amazon AI, PPP course, ChatGPT course, e-commerce professional, online consumer behavior, Google's search generative experience, Amazon's chatbot Rufus, online shopping behaviors, AI news, AI chatbot Grok, AI startup Anthropic, White House AI guidelines, AI's impact on e-commerce, human touch in AI use, AI-generated content.

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Businesses are trying to figure out the best way to implement GenAI. One company that has it figured out? World Wide Technology. WWT's CEO Jim Kavanaugh, is laying out their GenAI blueprint for business implementation. 

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Join the discussion: Ask Jordan and Jim questions on GenAI

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

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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.

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

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

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If you want a successful business in the age of AI, you need to be able to collaborate in real-time. With the combination of COVID and generative AI, the way we work has completely changed. Zoom's CPO, Smita Hashim, joins us to discuss how AI is changing real-time collaboration.

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Related Episodes:
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
Ep 216: How to stand out in a world filled with AI startups ? Insights from Taplio CTO

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Timestamps:
01:45 About Smita and her role at Zoom
05:30 How real-time collaboration has changed.
10:12 Generative AI has transformative, practical possibilities.
11:30 Zoom announces new Zoom Workplace features
17:54 Zoom AI companion streamlines data for efficiency.
21:30 Next steps for AI and real-time collaboration

Topics Covered in This Episode:
1. Importance of Real-Time Collaboration
2. Zoom Enterprise Connect event
3.  New Zoom Workplace Features and AI Integration
4. Future of Real-Time Collaboration and AI

Keywords:
Generative AI, Real-time collaboration, Remote working, Hybrid working, Zoom, Chief product officer, Enterprise Connect, Microsoft Teams, Google Meet, Video communication, Zoom Workplace, Zoom AI companion, Productivity, Whiteboard functionality, Docs collaboration, Meetings summarization, Chats summarization, Zoom phone, Flexible work, Information overload, Data privacy, Total employee experience, Content production tool, Productivity software suite, Customer engagement, Multimodal, Security, Immersive reality, Augmented reality, Employee engagement

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NVIDIA's announcements from its GTC conference will change the AI world. We partnered with NVIDIA and were at the conference all week. We're breaking down all the big headlines and explaining what it means for the future of AI.

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Related Episodes:
Ep 234: Driving the Future ? NVIDIA?s Vision for AI-powered Transportation
Ep 233: Robots Among Us ? How NVIDIA is building the future of robotics

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Timestamps:
01:50 Daily AI news
08:19 Powerful GPUs are crucial for generative AI.
09:42 NVIDIA dominates GPU market with powerful technology.
15:58 2024: Year of generative AI, compute shortage.
19:34 Generative AI implementation expected to surge in 2024.
22:52 Partners investing in NVIDIA for compute tech.
26:32 Simulations revolutionize manufacturing process with accessible technology.
28:56 Predicting audience reaction based on data analysis.
33:41 NVIDIA's Gr00t system revolutionizes robot manufacturing.
36:33 AGI, humanoid robots with language models approaching.
38:25 Insights on robotics and AI at GTC conference.

Topics Covered in This Episode:
1. Nvidia?s Developments and Innovations
2. Nvidia?s Role in Changing AI Ecosystem
4. Benefits and Application of AI-powered Simulations
5. Nvidia?s Involvement in Robotics
6. Speculations and Aspirations for AGI

Keywords:
NVIDIA, GPUs, Blackwell system, NIMS, NEMO, NVIDIA AI Foundry, Omniverse, Isaac robotics, chipmaker, compute sweet spot, simulation-driven world, humanoids, AGI, digital twin, product simulation, service simulation, Groot, robot manufacturers, Figur, Isaac Robotics platforms, artificial general intelligence, Jensen Huang, Fora, NVIDIA GTC conference, Jordan Wilson, generative AI, computational power, edge AI, local model running, MIT researchers.

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Did Microsoft just make the biggest AI power move? Can you play chess using your brain with Musk's  Neuralink chip? What's happening with Stability AI? We're breaking down this week's AI news that matters.

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Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about

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Timestamps:
02:20 "Microsoft makes major AI power move"
06:29 Microsoft CEO dismisses OpenAI amidst controversy.
07:42 Microsoft's Nadella shows confidence in OpenAI.
10:48 Neuralink's patient demonstrates brain chip success.
13:10 Stability AI CEO resigns
15:00 Open Interpreter new AI device
21:40 OpenAI taking Sora to Hollywood
24:26 Virtual production to revolutionize filmmaking industry soon.

Topics Covered in This Episode:
1. Microsoft's AI Division and Leadership Changes
2. Neuralink's AI-Powered Brain Chip
3. Stability AI CEO Resignation
4. Open Interpreter O1 AI device
5.  OpenAI's Sora in Hollywood

Keywords:
Microsoft AI division, Mustafa Suleiman, Inflexion AI, Karen Simeon, OpenAI, Sam Altman, Nadella, Neuralink chip, chess, stability AI, CEO resignation, hardware device, Open Interpreter, Sora, text-to-video technology, Hollywood, GPT technology, Lex Fridman podcast, Tyler Perry, AI disruption, Hollywood studios, film industry, AI video, personalized videos, Pixar, NVIDIA GTC, San Jose, CEO Jensen, GPU technology, workshops, AI content.

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You might think the auto industry hasn?t changed since the Model T.  There?s a lot going on under the hood, though. Especially with AI revving its engine now louder than ever. So what?s next in the auto industry with so much new AI tech behind the wheel? That?s exactly what we?ll be discussing with Danny Shapiro, NVIDIA?s Vice President of Automotive. 

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Timestamps:
00:00 About Danny and his role at NVIDIA
04:29 NVIDIA transforms into automotive-grade company with innovation.
08:48 Constant need for computing power for safety.
12:09 Testing autonomous trucks in Texas using simulation.
15:00 Collaboration in design and virtual simulations.
16:44 Future of automotive technology.
23:51 Phone-like software updates bring joy to vehicles.

Topics Covered in This Episode:
1.  NVIDIA's Role in the Automotive Space
2. Impact of Increased Computational Power in Vehicles
3. Impact of Generative AI in Vehicles
4. Automotive Simulations and Safety Measures
5. Future of Transportation

Keywords:
AI, transportation, future, self-driving, flying cars, automotive, NVIDIA, GTC conference, safety, supercomputing, autonomous vehicles, automotive industry, generative AI, connected cars, software updates, Blackwell architecture, Omniverse, digital twins, simulation, language models, perception algorithms, manufacturing, end-to-end approach, design, engineering, virtual test drive, service and maintenance, highway autopilot, urban autopilot, valet parking

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AI + Robots ? is it just science fiction? Or, could the intersection of AI and robotics change our daily lives WAY sooner than we?d expect? We find out with Amit Goel, the Director of Robotics at NVIDIA, a global leader in the robotics industry.

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Timestamps:
01:30 About Amit and NVIDIA robotics
04:11 Large language models and consume data teach robots.
06:20 NVIDIA's role in robotics at GTC conference.
10:38 Public perception of robotics and humanoid future.
14:47 Robots and AI replacing human tasks concern.
15:49 Robotics tasks, automation, and train workforce.
20:44 Keynote discusses faster computing's impact on industries.
23:51 Large language models enable natural language interaction.
27:03 Excited about improving existing robots with AI.

Topics Covered in This Episode:
1. Robotics and AI Advancements
2. Public Perception Towards Robotics
3. Deploying Tasks to Robots
4. Use of Generative AI in Robotics
5. NVIDIA's Role and Impact in Robotics

Keywords:
Robotics, NVIDIA, GTC conference, Amit Goel, AI, large language models, generative AI, simulation technology, computing power, embedded products, Yaskawa, digital twin, industrial robots, manufacturing, logistics, Boston Dynamics, humanoids, human-robot interaction, automation, IT systems, operations, traditional robotics, Graphics, chat GPT, Blackwell, data, real physical implementation, robot-specific language, Groot model, public perception.

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Every business leader is wondering: How can you create value company-wide with Generative AI? And how can you actually capture that value and show the impact?
Evan has some answers. Evan is the General Manager and VP for AI Solutions & Cloud at Hewlett Packard Enterprise.

Join us as we get answers from an HPE leader in the GenAI Enterprise space as part of our partnership with NVIDIA at the NVIDIA GTC conference.

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Timestamps:
00:00 About Evan and HPE
05:11 Blindly trusting tools leads to data leaks.
08:40 Enterprise search evolving to synthesize and respond.
10:46 Cloud providers and software vendors handle basics
13:47 Genai tools make analysts more efficient, valuable.
16:18 Data is essential for significantly better models.

Topics Covered in This Episode:
1.  Creating value in business with generative AI
2. Adoption and Effectiveness of Generative AI
3. Customer and Industry Involvement
4. Pitfalls and Successes with Generative AI
5.  HPE Collaboration with NVIDIA

Keywords:
generative AI, business value, ChatGPT, language models, NVIDIA GTC conference, AI Solutions, HPE, hardware, infrastructure, enterprise customers, computer vision, deep learning, NLP, generative AI, customer experience, retailer, search, mobile app, data security, privacy, cost, small model, large language model, AI workloads, cloud, data centers, RAG, enterprise search, document store, software, microservices, venture, data, moat

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AI is being used in about every facet of the financial industry. A company you might not know helping power the entire industry forward? NVIDIA. And Malcolm deMayo is a key player making it all happen. Malcolm is NVIDIA?s Global Vice President of the Financial Services Industry. Tune in as he gives us the behind-the-scenes of the AI-powered money moves that NVIDIA is making. 
 
This is a special in-person interview in partnership with NVIDIA and their NVIDIA GTC Conference.

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Timestamps:
00:00 About Malcolm and his role at NVIDIA
05:28 Generative AI is a game changer.
06:38 Financial firms must embrace technology for success.
12:43 Generative AI's role in financial sector risk.
14:15 Financial firms adopting NVIDIA's compute platform.
19:42 NVIDIA's impact on financial institutions through digitization.
22:02 Firms aiming to build our amazing tech.
24:06 Server providers build and offer trading data.

Topics Covered in This Episode:
1. NVIDIA's Platform and Partnerships in Financial Services
2.  Application of Generative AI in the Financial Sector
3. Challenges and Risks in Adopting Generative AI
4. Future Outlook and Developments in Generative AI

Keywords:
NVIDIA, AI, computer graphics, financial services, AI applications, generative AI, GTC conference, San Jose, California, GPU, microprocessor, strategy, partnerships, Lighthouse customers, ecosystem partners, hyperscalers, deep learning, financial firms, generative AI implementation, chatGPT, AI technology, accelerated compute platform, data analysis, customer experience, AI adoption, AI infrastructure, executive briefing center, upskilling, AI factory, Jensen's keynote, AI development

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Should we be worried about what OpenAI said about Sora? What does Google's new video game-playing model mean about agents? (Almost) Every week, we dive deep into the AI news and developments to help you keep up with what really matters.

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Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about

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Timestamps:
01:50 Google DeepMind enters the world of AI agents.
03:56 OpenAI Sora data concerns
09:40 Apple develops multimodal language model in 3 sizes.
14:42 Generative AI breakthrough in smartphone productivity discussed.
20:18 Free GPU chip giveaway
25:36 Inadequate multitasking skills; admiration for AI capabilities.
27:39 NVIDIA GTC AI event with industry leaders and breakthroughs.

Topics Covered in This Episode:
1. Google DeepMind's New AI Model, Sima
2.  Scrutiny Around OpenAI's Sora Model
3. Figure 01, by OpenAI and Figure
4. Apple's New Large Language Model, MM1

Keywords:
Figure AI, real-time conversations, ChatGPT, large language model, OpenAI, NVIDIA, GTC conference, San Jose, California, AI advancements, keynote, CEO, AI in financial services, generative AI, robotics, AI-powered transportation, GPU giveaway, Apple, m m one, multimodal large language model, image recognition, natural language reasoning, Google's Gemini, GPT 4, edge computing, on-device AI, Siri, iPhone, former employees of OpenAI, Boston Dynamics, Tesla, Microsoft, humanoid robots, visual recognition, Tesla's Optimus bots, Google DeepMind, Sima, video games, natural language instructions, video game studios, agents, smart AI, SoRA, text to video model, training data accuracy.

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We always hear how much AI and tools like ChatGPT have helped the everyday person. But besides the day-to-day work, AI can also help those that are neurodivergent. Maureen N. Dunne, Ph.D., Educator, Entrepreneur, and Author, joins us to discuss the positive impact AI has on Neurodiversity. 

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Related Episodes:
Ep 224:  AI and its Impact on Society: How it might look
Ep 213: AI Meets Doctors ? Turning Healthcare from a Service to a Product

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Timestamps:
01:45 About Dr. Maureen and her work
04:15 Neurodiversity term coined to value diverse perspectives.
08:42 Neurodiversity, biases, and inclusive talent assessment strategies.
11:44 AI aiding cognition and productivity for neurodivergent.
14:28 AI empowering neurodiverse individuals through communication and learning.
17:48 Neurodiversity community valued for unique talents.
23:38 AI's impact on diverse thinking abilities emphasized.
25:36 Embrace neurodiversity and human-AI cooperation for innovation.

Topics Covered in This Episode:
1. Neurodiversity and AI
2. Challenges Faced by Neurodivergent Individuals in the Workplace
3. Positive Impact of AI on Neurodivergent Individuals
4. Future Implementations of AI in the Workplace

Keywords:
neurodiversity, ChatGPT, everyday AI, generative AI, neurodivergent, neurotypical, cognitive biases, inclusivity, workforce, AI integration, AI impact, AI applications, AI limitations, future of work, skill sets, complementary cognition, leveraging AI, organizational inclusivity, artificial intelligence, workplace challenges, productivity, innovation, cognitive diversity, cultural fit, leadership, human resources, cognitive approaches, organizational change, emerging technologies, interdisciplinary thinking

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There's one secret skill for more effective prompting! It's a skill set that we all have but not recognized as something you can use toward prompts. Even better, we have an OpenAI Ambassador here to help talk about prompting and how to do it effectively. Abran Maldonado joins us to discuss what that secret skill is and how you can use it for better results. 

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Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 194: 5 ChatGPT Facts You Might Not Know

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Timestamps:
01:55 Daily AI news
04:35 About Abran and being an OpenAI Ambassador
08:01 Access to future models, testing, providing use cases.
11:10 Engineers from diverse locations think quickly.
16:31 Proficiency with AI tools and Excel important
20:46 Elon Musk invented Neuralink for brain communication.
26:26 Imposter syndrome, calm down, noncoder perspective.
30:04 Excited for early access to custom GPTs.
30:51 Limiting Internet searching could impact ad revenue.
35:35 New technology levels the playing field.

Topics Covered in This Episode:
1. Abran's role and involvement with OpenAI
2. Secret Skill for Effective Prompting
3. AI and Communication Skills

Keywords:
Custom GPTs, Generative Pre-trained Transformers, personalized learning, department-specific GPTs, AI technology, practical advice, careers, AI news, Siri, Google Bard, OpenAI, AI ambassador, Create Labs Ventures, pandemic, prompt engineering, communication skills, prompt guidance, feedback, AI art, prompt engineering, GPT store, user feedback, Chat GPT, job seekers, AI-related skills, intent understanding, communication assistance, communication challenges, communication styles, AI communication bridge

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AI can be ugly. But it can also be beautiful. Literally. Like when AI is used in the beauty industry. Wayne Liu, President and Chief Growth Officer at Perfect Corp, joins us to talk about how AI is changing the beauty industry.

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Related Episodes:
Ep 207: AI Will Allow Us All to Make Music We Enjoy
Ep 213: AI Meets Doctors ? Turning Healthcare from a Service to a Product

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Timestamps:
01:45 About Wayne and Perfect Corp
05:51 Experimenting with generative AI in fashion simulation.
06:51 Discussion on virtual beauty technology.
09:15 AI and medical education
16:25 AI images shaping societal perception of beauty.
23:54 AI helps choose products suitable for skin.

Topics Covered in This Episode:
1. AI in the Beauty Industry
2. About Perfect Corp
3.  Future of AI in the Beauty Industry
4. AI's Broader Medical Applications

Keywords:
AI impact on beauty industry, artificial intelligence, future of AI in beauty, generative AI, leveraging AI, daily livestream podcast, newsletter, virtual try-on, makeup, skin analysis, medical field, deep learning, machine learning, shade matching, skin tone, simulation, GAN, stable fusion, fashion, 3D object, personalization, societal impacts, augmented intelligence, return on investment, user experience, sustainable beauty, responsible AI, social responsibility, education, beauty industry trends.

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One group that can really benefit from generative AI is nonprofits. So what are the barriers, and how can nonprofits leverage this cutting-edge tech while still respecting donor data and keeping trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to discuss how we can use AI responsibly. 

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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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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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