Everyday AI Podcast – An AI and ChatGPT Podcast Everyday AI

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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More on this Episode: Episode Page
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
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

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.

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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More on this Episode: Episode Page
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

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Timestamps:
01:50 About 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.

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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More on this Episode: Episode Page
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: info@youreverydayai.com
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

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

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Timestamps:
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.

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

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
Email The Show: info@youreverydayai.com
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.

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

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
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

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.