Everyday AI Podcast – An AI and ChatGPT Podcast

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AI is going to have a huge impact on society. It already has impacted the labor market and other parts of society. Will AI be more disruptive than we think, or can it be an overpowering force for good? James Hodson, CEO of AI For Good Foundation, joins us to discuss the future of society with AI.

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Join the discussion: Ask Jordan and James questions on AI in society

Related Episodes:
Ep 202: The Holy Grail of AI Mass Adoption – Governance
Ep 206: There is No AI Hype – This is how the world works now

Next Episode: Break Things That Are Already Broken
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
01:40 About James and the AI For Good Foundation
04:33 International organization born from academic and policy community.
07:41 Economic development through technology and infrastructure.
11:01 Rethinking humanitarian aid and leveraging technology's potential.
13:25 Exploring AI's impact and potential economic disruption.
17:04 AI impact on labor market analyzed, adaptation needed.
20:45 Government role in technology shift and regulation.
25:25 Promoting AI audit program for ethical technology.
28:45 Reengaging economists and policymakers for economic shift.
33:17 Community resilience crucial for technology adoption and innovation.

Topics Covered in This Episode:
1. Role of AI in Global Development
2. Community-Driven Development and AI
3.  AI's Impact on Labor Market
4. Government Role in AI Implementation
5. Navigating AI-Driven Economic Changes

Keywords:
Artificial Intelligence, Global Development, Community-Driven Approach, Traditional Humanitarian Aid, Technology, International Involvement, Economic Fallout, Labor Market, Data-Driven Revolution, Policy and Decision Making, Rescaling Programs, Investments, Safety Nets, AI-driven Economic Shifts, Universal Basic Income, government assistance, engaging economists, US vs EU approaches, Healthcare System, Education Structure, Community Resilience, Tech Education, Innovation, High School and University Education, Government Involvement, Labor Market Protection, Human-Centric Approach, Nonprofit AI Audit Program, Technological Advancements, Gen AI Boom.

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Anthropic just released its new AI model Claude 3 and it's setting impressive standards. Is it better than other models like ChatGPT and Google Gemini? We're breaking down Claude 3 and showing you just how good it actually is.

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Join the discussion: Ask Jordan  questions on Claude 3

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 204: Google Gemini Advanced – 7 things you need to know

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
04:49 Claude 3 beats competitors in technical test.
07:07 Comparison of language models and market competition.
10:58 Math discussion on language model capabilities.
15:51 Opus demo allows interactive chart manipulation.
20:22 Claude, recent knowledge cut-off, warn against hallucinations.
25:13 Discussion about ocean poem and its style.
26:33 Math Riddles
32:13 Image recognition and text extraction capabilities demonstrated.
35:39 Standard business advice, focus on loyal audience.
38:46 Free NVIDIA conference in San Jose, virtual option.
44:07 Claude 3 Opus API improves interactivity and coding.
45:55 Claude 3 vs Chat GPT and Google Gemini

Topics Covered in This Episode:
1. About Anthropic Claude 3
2. AI Model Challenges and Tests
3. Discussion on Claude Opus API
4. Comparison of ChatGPT, Claude 3, and Google Gemini

Keywords:
San Francisco, California, Gen AI startups, funding, investors, valuation, revenue projection, Claude 3, Opus, SONNET, Haiku, task automation, data processing, customer interactions, computer vision, natural language models, NVIDIA conference, marketing plan, Jordan Wilson, Chat GPT, Google Gemini, Anthropic, AI challenges, AI poetry challenge, logic problems, AI newsletters, competitive landscape analysis, Claude Opus API, everyday AI, everydayai.com.

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Awesome Stuff From Our Partner, NVIDIA -
Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

When we talk about AI jobs, we normally think that AI is just taking our jobs. But that's not necessarily how it's happening in the real world right now. AI jobs are being dispersed all across the US. Anil K. Gupta, Michael Dingman Chair in Strategy, Smith School of Business, The University of Maryland, and Evan Schnidman, Co-Founder & CEO of Outrigger Group, join us to take a look at AI jobs in the US.

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Join the discussion: Ask Jordan, Anil, and Evan questions on AI jobs

Related Episodes:
Ep 132: Enterprise AI – Future Careers and How to Prepare
Ep 106: Using AI to Land a New Career

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
01:40 Daily AI news
04:45 Intro to Anil and Evan and the
06:30 UMD LinkUp AI Map
11:16 Interactive map shows dispersion of AI jobs.
15:35 Key sectors for AI talent: finance, retail.
20:07 AI job growth surprises, emphasizes Washington DC.
23:16 Anil discusses AI's impact on future jobs.
27:18 Upcoming research will cover sectors, skills, geographies.
28:41 Universities can use data to uncover AI opportunities.
32:52 AI job growth expected to accelerate, then plateau.
35:02 Access company career pages for information. Use data portal to find geographical information.

Topics Covered in This Episode:
1. The UMD LinkUp AI Map Project
2. AI Workforce and Labor Market
3. Understanding AI Job Growth in Various Sectors
4. Dissecting the Job Landscape and the Rise of AI Jobs
5. Future of AI Jobs

Keywords:
AI Jobs, AI technology, Artificial Intelligence, Job market, Labor market data, LinkUp, Washington DC, AI job growth, Defense sector, Intelligence agencies, Technology companies, Banking, Insurance, Retail, Consulting firms, Deloitte, Accenture, John Deere, Caterpillar, Heavy equipment industry, UMD link up AI maps tool, Geographic dispersion, IT Jobs, Total employment, AI skills, Silicon Valley, Outrigger Group, UND Link Up AI Maps project, AI workforce, AI job opportunities.

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Awesome Stuff From Our Partner, NVIDIA -
Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

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We're giving away a free YEAR of Taplio, our favorite AI-powered tool to grow on LinkedIn. ENDS tomorrow!
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Elon Musk is suing OpenAI and accusing the company of abandoning its mission in putting the public before profit. Does Elon have a point? Or is this just some useless drama? We're diving in and taking a look.

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Join the discussion: Ask Jordan questions on Elon Musk vs OpenAI

Related Episodes:
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is 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:
02:35 Daily AI News
03:41 Tech companies prioritize responsible AI development and use.
08:49 Elon Musk raises valid points in lawsuit.
11:36 OpenAI 2015 founding, Musk's 2018 departure.
15:34 AI-powered suite discovers trending topics, creates content.
17:24 OpenAI has multiple layers and investments.
21:27 Elon Musk claims OpenAI breached founding agreements.
25:08 NVIDIA's GTC AI conference, giveaway, new model.
29:09 Elon Musk attacks Google and AI.
30:31 Elon Musk's lawsuit seeks to hinder competition.
34:34 OpenAI's public benefit argument is flawed.
37:23 Investment in profit-making ventures requires secure agreements.

Topics Covered in This Episode:
1.  Elon Musk's Lawsuit Against OpenAI
2. Background and Changes in OpenAI
3. Implications of OpenAI's Shift in Focus
4. Reactions and Predictions on the Lawsuit

Keywords:
Elon Musk, OpenAI, lawsuit, for-profit, closed source, artificial general intelligence, profit over humanity, tech companies, responsible AI development, AI startup, Anthropic, Cloud 3 series, AI models, Opus, GPT technology, Microsoft, Google Gemini, Access GPT, non-profit, Jordan Wilson, PR stunt, donatation, corporate structure, 501c3 nonprofit, LLCs, LPs, subsidiaries, breach of contract, GPT-4, NVIDIA

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Awesome Stuff From Our Partner, NVIDIA -
Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

Awesome Stuff From Our Partner, Taplio -
We're giving away a free YEAR of Taplio, our favorite AI-powered tool to grow on LinkedIn. ENDS tomorrow!
Sign-up info here:
https://www.youreverydayai.com/our-secret-to-linkedin-success-taplio-for-growth/

Figure AI raises $675 million from Big Tech, Elon Musk sues OpenAI, and LTX Studio challenges Pika Labs. Here's this week's AI news that matters and why it's important to you.

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

Related Episodes:
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
Ep 211: OpenAI Sora – The larger impact that no one’s talking about

Tomorrow' Show: What the Elon Musk vs. OpenAI lawsuit actually means
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
03:05 Humanoid robot company Figure raises $675 million
06:40 OpenAI, Microsoft, Bezos, and NVIDIA are key partners for humanoid robots.
10:38 Humanoid robots could bring local manufacturing jobs.
11:45 Elon Musk sues OpenAI
16:37 Debate over Elon Musk's lawsuit against Twitter.
21:32 NVIDIA GTC conference in San Jose, March.
23:20 Lightricks launches LTX Studio - AI video tool
27:31 Challenges in creating consistent AI image tools.
31:00 Cost of new AI tools may rise.
35:40 Generative AI tools produce high-quality lifelike content.

Topics Covered in This Episode:
1. Figure Raises$675 million from Big Tech
2. Elon Musk Sues OpenAI
3. Lightricks releases LTX Studio - AI Video Tool

Keywords:
AI-powered apps, Facetune, Videoleap, LTX studio, AI video making, OpenAI, Pika Labs, lip syncing, AI characters, Alibaba, Emo Video, animated avatar video, Everyday AI, Jordan Wilson, Figures AI, humanoid robots, Azure Cloud Services, robot market projection, lawsuit, nonprofit transition, Elon Musk, Taplio giveaway, NVIDIA GTC conference, NVIDIA GeForce GPU giveaway, manufacturing jobs, LinkedIn for brand growth

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How can we get more women in AI roles? It's an important conversation we need to have, especially in the IT and tech space in the US. Dona Fanara, VP of Women Impact Tech, joins us to discuss how we can rebuild the staffing industry and get more women into AI roles.

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More on this Episode: Episode page
Join the discussion: Ask Jordan and Dona questions on women in AI

Related Episodes:
Ep 127: How AI is Impacting All Aspects of HR
Ep 139: How To Transition to an AI-First World

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

Timestamps:
02:20 About Dona and Women Impact Tech
03:45 Why are tech roles skewed towards men?
09:39 AI roles need strong communication skills, gender differences.
13:45 Gender biases in tech require corporate action.
17:38 Encouraging creation of women-focused tech employee groups.
20:40 Seek practical tips for addressing systemic problems.
23:45 Support early education for women in AI.

Topics Covered in This Episode:
1. Getting More Women in AI Roles
2. Challenge of Gender Imbalance in AI and Tech Roles
3. Traits for Success in AI and Tech Roles
4. Advice for Women Breaking into Tech and AI Roles

Keywords:
women in AI roles, stereotypes, tech and IT roles, US, generative AI, newsletter, artificial intelligence, AI news, website, unbiased information, AI in career, AI in sales, AI in entrepreneurship, rebuilding the staffing industry, women in AI roles, Women Impact Tech, corporate partnerships, talent solution company, regional events, Chicago, San Francisco, New York, virtual events, membership program, job board, bias, technical roles, global, men, women, leadership roles, technologists

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If you want better AI images and videos, sometimes you have to roll the dice and play the probability game. But you don't have to do it blindly. Tianyu Xu, Founder of TYAI, joins us to share secrets on how you can get better AI image and video results.

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More on this Episode: Episode page
Join the discussion: Ask Jordan and Tianyu questions on AI visuals

Related Episodes:
Ep 198: Midjourney V6 – What’s new and producing powerful ad creatives
Ep 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu, and more
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is 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:
01:30 Daily AI news
04:15 About Tianyu and TYAI
09:44 Tianyu discusses starting simple with natural language.
14:24 Text-to-video models can generate short films.
18:23 Experiment with camera settings to optimize motion.
20:15 Using AI video generators to speed up processes.
24:43 Experiment results favor tilt up movement for video.
27:29 Creative rights ownership.
35:22 Emphasizing creativity and accessibility in utilizing technology.

Topic Covered in This Episode:
1. Unpredictability of generative AI visuals
2. Process of generating AI images and videos.
3. Organizing media outputs and importance of creative rights
4. Limitations and challenges in AI video and images

Keywords:
Generative AI, Image/Video Categories, Successful Images, Marketing Videos, AI Technology, Creativity in Businesses, Gradual Process, Pica Labs, Video Generation, Parameters, Video Quality, Consistency in Movement, Everyday AI, Open Source Language Model, Offensive AI results, Gemini AI, OpenAI, Copyright infringement, Market Research, Large Language Models, Text-to-Video Methodology, OpenAI Sora Model, Visual Projects, Prompts Reuse, Creative Rights, Embedding Text in Images, AI Limitations, CGI Animation, Long-Term Projects, Experimentation

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Win a free year of ChatGPT or other prizes! Find out out.

You're using ChatGPT wrong. Sorry, but it's the truth. We'll tell you what you're doing wrong and cover everything we know about ChatGPT as of today. We're going over the 7 steps on how to actually use ChatGPT in 2024.

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

Related Episodes:
Ep 194: 5 ChatGPT Facts You Might Not Know
Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed

Tomorrow' Show: Roll the dice: Winning the probability game in AI visuals
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
03:40 Chat GPT high-level overview
08:39 Access existing GPTs, utilize ChatGPT Vision.
13:15 ChatGPT is superior to other language models.
16:22 Tokenize text, emphasizes need for communication clarity.
29:57 Experts caution against inadvertent use of GPT.
32:38 User highlights concern over ChatGPT's memory.
38:51 Grow brand on LinkedIn with Taplio efficiently.
44:05 Large language model gobbles up low-quality information.
50:12 Comparing expert chat training with GPT training.
53:07 Altman discusses improving GPT's reasoning abilities for future versions.
58:05 Enterprise versions handle data differently. Be cautious.

Topics Covered in This Episode:
1. Understanding ChatGPT
2. New Features in ChatGPT
3. Data Privacy and Security in ChatGPT
4. Future Directions and Advancements in Large Language Models

Keywords:
ChatGPT, Large language models, Tokenization, Generative AI, AI education, Business operating system, AI tool, Automating tasks, Everyday AI, Open AI, Google, Microsoft, Memory recall, Prompts, Plugins, New features, GPT store, ChatGPT Vision, Browse with Bing, Data analysis feature, Teams mode, Document upload, Memory personalization, GPT 4 Turbo, DALL E, Multi-modal default, Bing, Generative AI for business growth, Enterprise versions, Confidential data.

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Everyone's an AI-powered startup nowadays. So how can you actually stand out and build a product or service that matters? Tibo Louis-Lucas knows a thing or two about building successful companies. He co-founded both Taplio and Tweethunter, two Saas products powered by AI that were sold for over $10 million. So how can your product or service stand a chance when just about everyone's an AI company? Let's dive in.
 
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More on this Episode: Episode page
Join the discussion: Ask Jordan and Tibo questions on AI and startups

Related Episodes:
Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI
Ep 126: Real Business Use Cases for AI

Tomorrow' Show: 7 steps on how to ACTUALLY use ChatGPT in 2024
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:00 Daily AI News
04:45 About Tibo and Taplio
07:15 Building Taplio
13:06 Unconventional partnership approach for growth.
15:30 Excitement for creator economy, small product acquisitions.
18:00 AI's capabilities and impact on startups
22:14 Pressure to keep up with rapid AI changes.
24:10 Opportunities for automation in companies, social media.

Topics Covered in This Episode:
1.  Leveraging AI in Startup Development
2. Successfully Building and Growing AI Startups
3. The Future of AI and Potential Product Development
4. Key Advice for Young Entrepreneurs

Keywords:
AI startup, stand out, generative AI, livestream, podcast, newsletter, Microsoft, Azure AI, Mistral, partnership, OpenAI, TechCrunch, European Commission, Apple, wearables, smart glasses, AirPods, Bloomberg, innovation, tech, science, culture, 11 Labs, Perplexity, Discover Daily, Tivo Louis Lucas, CTO, Taplio, tweet hunter, Lemnist, products, startups, video editing software, visualization AI.

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ChatGPT Plugins are on their way out! Tyler Perry is putting his studio expansion on hold due to AI, and Google is making TONS of news right now! Here's this week's AI news that matters and why it's important.

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

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

Tomorrow' Show: How to stand out in a world where everyone can create an AI Startup?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
03:42 Tyler Perry concerned about AI job loss.
07:22 OpenAI Sora video excels over other platforms.
12:54 11 Labs updated model, ChatGPT phasing out.
15:27  Plugin packs for ChatGPT.
16:55 Limitations on using multiple GPTs for now.
22:16 Unsatisfied with Google Gemini Enterprise integration.
23:13 Google and Reddit partnership for language models.
28:39 Google Gemini Images paused due to diversity concerns.
31:16 Google now has three Gemini models.
34:54 Best text-to-speech AI
37:11 AI content creation raises copyright concerns

Topics Covered in This Episode:
1. OpenAI's changes and future focus
2. Google's Significant AI content deal with Reddit
3. Google's AI model developments and issues
4.  Trends in AI utilization within the entertainment industry

Keywords:
OpenAI, GPT, AI agents, AI assistants, prime prompt polish program, Google, Reddit, AI content licensing deal, AI models, search engine, Gemini AI, large language models, user-generated content, university student data, Google Gemini Imagine 2, Gemma, Gemini Ultra, Gemini Pro, Gemini Nano, Tyler Perry, Sora, AI in entertainment, text-to-speech AI, business productivity, ChatGPT plugins, Well Said Labs, Asura, AI video platforms, Perry's studio expansion, AI regulation

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