Everyday AI Podcast – An AI and ChatGPT Podcast

Latest Episodes:

EP 273: Microsoft PM Speaks - How AI is Shaping Product Management May 15, 2024

Show notes

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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More on this Episode: Episode Page
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: info@youreverydayai.com
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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Ep 272: How OpenAI’s Shot at Google (and GPT-4o model) Will Change How We All Work May 14, 2024

Show notes

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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More on this Episode: Episode Page
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: info@youreverydayai.com
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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Ep 271: OpenAI Releases GPT-4o. 12 things you need to know May 13, 2024

Show notes

Win a free year of ChatGPT or other prizes! Find out out.
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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More on this Episode: Episode Page
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: info@youreverydayai.com
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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EP 270: AI News That Matters - May 13th, 2024 May 13, 2024

Show notes

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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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
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: info@youreverydayai.com
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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EP 289: How To Leverage AI for SEO (for more than content writing) May 10, 2024

Show notes

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: info@youreverydayai.com
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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EP 268: AI’s Data-Driven Decision Paradox May 09, 2024

Show notes

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: info@youreverydayai.com
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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EP 267: The Impact of Generative AI on the U.S. Labor Market May 08, 2024

Show notes

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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More on this Episode: Episode Page
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: info@youreverydayai.com
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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EP 266: Stop making these 7 Large Language Model mistakes. Best practices for ChatGPT, Gemini, Claude and others May 07, 2024

Show notes

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: info@youreverydayai.com
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 verification, New York Times, AI infrastructure.

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EP 265: Will ChatGPT release a new search engine this week? AI News That Matters - May 6, 2024. May 06, 2024

Show notes

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.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes:
Ep 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: info@youreverydayai.com
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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EP 264: AI-Powered Devices: Do we actually need them? May 03, 2024

Show notes

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: info@youreverydayai.com
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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