Everyday AI Podcast – An AI and ChatGPT Podcast

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Supply chains impact everything. And AI is impacting our supply chain at every level. So what's it all mean for the future of the products we use every day and the supply chains that make it all possible? Evan Smith, CEO and Co-Founder of Altana joins us to discuss.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Importance of Supply Chain
2. Implication of AI in Supply Chain
3. Value Chain and AI Integration
4.  AI Addressing Industry Challenges
5. Impacts of COVID-19 on Supply Chains and Role of AI

Timestamps:
01:55 Daily AI news
05:00 About Evan and Altana
08:23 Outsourced supply chain is fragile, strategically important.
10:38 AI revolutionizes supply chain data analysis.
16:26 Automation will change work, focusing on value.
17:58 Impacts of industry on supply chain future.
23:57 COVID and generative AI's impact on supply chain.
26:42 Supplier diversity can mean redundancy or workforce equality.
30:37 Global businesses need to rethink supply chains.
32:10 Reframe the AI conversation for positive outcomes.

Keywords:
Evan Smith, outsourced just-in-time supply chain, global supply chain network, carbon footprint, national security, China's control of critical minerals, paper-based to digitized supply chain, AI technology, large language models, trace origin of products, forced labor, business interruptions, customs and trade compliance, supplier diversity strategy, workforce and human rights evaluation, actively managed value chain network, generative AI, change of nature of work, automation, repetitive tasks, data processing, business interruption risk exposure, COVID-19 pandemic, Jordan Wilson, Everyday AI Show, Microsoft, OpenAI, Conde Nast, Altana, fabric of the world's physical economy.

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It's the trillion dollar AI question. When will we achieve Artificial General Intelligence? (And what the heck is it, anyway?) We'll give you the 101 on what you need to know, and one secret that could be holding the official discovery back.

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Join the discussion: Ask Jordan questions on AGI

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Topics Covered in This Episode:
1. Definition of AI, AGI and ASI
2. Evolution of AGI
3. Impacts of Advancements in AGI
4. Future of AGI

Timestamps:
02:00 Daily AI news
06:15 When is AGI coming?
09:54 Machines performing tasks requiring human intelligence.
13:10 Generative AI brings impressive outputs through language.
14:04 Generative AI democratizes US AI capabilities; narrow compared.
19:00 Correct prompting with PPP course at podpp.com.
20:52 Big tech companies openly working toward AGI now.
25:37 AGI development inevitable, desirable, surpassing human capabilities.
28:16 Pre-2020, experts said AGI was 80 years away.
31:25 Criticism of experts in generative AI misunderstandings.
33:49 Has AI's definition of AGI changed?
37:21 Definition of AGI has evolved over time.
40:45 Partnership between Microsoft and OpenAI pivotal.
45:21 OpenAI benefits from important Microsoft partnership changes.
47:08 Tech companies must focus on AGI development.
52:37 Future work, business, career with AI impact.

Keywords:
AGI, Artificial General Intelligence, OpenAI, Microsoft, partnership, AI development, AI startup, Anthropic, copyright infringement, Google's Gemini team, Token offering, AI models, USAID, ChatGPT Enterprise, AI pace estimation, AI evolution, Artificial Superintelligence, AI prediction chart, ARK Invest, GPT 3 technology, Traditional AI, Generative AI, AI democratization, AGI benchmark, ChatGPT course, AI startups, Big tech companies, AGI cost reduction, Future of work, Everyday AI podcast.

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Did you know OpenAI released a new model? The one fatal flaw of Elon's new Grok-2 that no one's talking about. What is it? And is it concerning that researchers are trying to create 'Personhood Credentials' to differentiate humans from AI pretending to be humans? We'll tackle those questions and more.  

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Topics Covered in This Episode:
1. Grok chat system flaw
2. Personhood credentials
3. World Labs' achievement
4. OpenAI’s updated GPT 4 model
5. Politics and AI

Timestamps:
04:19 GPT 4 Turbo and Flux 1 Integration Exciting.
07:41 Grok has impressive benchmarks, but significant drawbacks.
11:09 Personhood credentials for online identity verification.
14:56 Internet explosion from AI-human hybrid interaction. US election impact.
18:07 World Labs achieves unicorn status with $100M funding.
23:25 AI will increasingly impact and manipulate politics.
26:02 AI image generators make discerning reality difficult.
29:08 Use battleground to compare and improve model skills.
32:12 Ongoing updates, constant testing for AI models.
34:33 WorldLabs reaches $1B valuation, AI dominates news.

Keywords:
Grok chat system, cycle flaw, Jordan Wilson, OpenAI researchers, Microsoft, MIT, Harvard, personhood credentials, online AI deception, verify real humans, privacy, fake accounts, bot attacks, AI misinformation, US election, social media, human verification, GPT 4 update, AI chatbot rankings, Google's Gemini 1.5 pro, GPT 4.5, GPT 5, AI testing, chatbot arena, Grok 2, Elon Musk's XAI, WorldLabs, unicorn status, President Donald Trump, political AI campaigns.

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What do all these strawberries on social media mean? Is OpenAI's Project Strawberry here? And why is literally everyone on Twitter talking about GPT-5? And are there actually AI-powered agents interacting with us live on social media? The answer to that might surprise you. 

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Topics Covered in This Episode:
1. Developments in AI Industry
2. State of AI Technology
3. OpenAI's Plans
4. Mystery Twitter Accounts
5. Secret Testing of Chatbots

Timestamps:
01:40 Daily AI news
05:30 Overview of recent AI rumors
07:49 OpenAI CEO hints at iterative updates, speculation.
10:38 AI rapidly advancing, projects pushing toward AGI.
13:39 AI tools empower human interaction in society.
17:58 People speculated about new chatbot release strategy.
21:50 Excitement for future advancements in AI language models.
26:10 OpenAI CEO discusses potential breakthroughs in AI.
27:45 OpenAI relies heavily on NVIDIA's GPU chip.
33:20 Posts about AI, possible bot activity. Humans involved.
36:24 Concerns about OpenAI's marketing and voice cloning.
37:14 Questioning authenticity and timing of AI advancements.
43:19 Anticipating big changes with AI technology.

Keywords:
OpenAI, GPT-5, Project Strawberry, AI technology, future of AI, generative AI, large language models, AI-powered agents, autonomous capabilities, AI in business, Everyday AI Show, Jordan Wilson, Sam Altman, mister Strawberry, super AGI, ASI, AI deception, Lily Ashwood, Twitter accounts, AI chatbots, testing AI models, agentic autonomous AI, quantum physics, system prompts, quantum entanglement, GPT-4 advanced voice mode, ChatGPT-4-latest, artificial general intelligence, AI in internet navigation, long-horizon tasks.

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No one's talking about this when it comes to AI. What happens when it works? 

↳ When we save all that time. 
↳ When productivity goes through the roof
↳ When jobs maybe get.....easier. 

Diya Wynn, Responsible AI Lead at AWS, joins us to discuss

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Related Episodes: Ep 323: How AI Is Changing Workplace Productivity
Ep 302: 5 Laws for Success in the AI Era

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Allocation of resources and the role of AI
2. Responsible and intentional AI practices
3. Complexities of upskilling and reskilling
4. Implications of AI on a grand scale

Timestamps:
01:50 Generative AI impact on high school students.
05:40 About Diya and her role at AWS
10:28 Inclusive AI promoting fairness and accessibility.
13:47 Augmenting human capability with technology for efficiency.
15:31 Comparing AI to automotive revolution, impacting jobs.
19:50 Resistance, failure, and education for responsible AI.
23:27 Skills need constant updating for technological advancements.
26:08 Responsible AI as an organizational culture structure.
32:21 Resource allocation may impact access to healthcare.
35:42 AI levels playing field for diverse learners.
38:59 AI as bridge, not barrier, empowering all.

Keywords:
Diya Wynn, Jordan Wilson, Everyday AI Show, AWS, Medicare, Medicaid, AI implementation, disparities in access, Artificial Intelligence, organizational structure, AI practices, education, banking services, hiring processes, video production, systems testing, upskilling, reskilling, responsible AI policy, technology advancements, job displacement, job creation, biases, fairness, workforce changes, World Economic Forum predictions, AWS responsible AI strategy, heart disease prediction, industry events, community engagement.

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Wait.... tokens? When using a large language model like ChatGPT, tokens really matter. But hardly no one understands them. And NOT knowing how tokens work is causing your ChatGPT output to stink. We'll help you fix it. 

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Related Episodes: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about

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Topics Covered in This Episode:
1. Tokenization in ChatGPT
2. Comparison of Different AI Models
3. Importance of Tokenization and Memory in AI Models
4. Limitations of ChatGPT
5. Explanation of Tokenization Process

Timestamps:
02:10 Daily AI news
07:00 Introduction to tokens
10:08 Large language models understand words through tokens.
12:05 Understanding tokenization in generative AI language models.
16:35 Contextual analysis of words for language understanding.
19:15 Different models have varying context window sizes.
23:57 Misconception about GPT-4. Detailed explanation follows.
26:38 Promotion of PPP course, common language mistakes.
28:57 Excess text to exceed word limit intentionally.
33:19 Keeping up with ever-changing AI rules.
36:50 Recall important information by prompting chat GPT.
40:37 Highlight information, use quotation button, request summary.
43:41 Clear communication is crucial for ChatGPT.

Keywords:
Jordan Wilson, Bears football team, personal information, Carolina blue, deep dish pizza, token counts, memory limitations, ChatGPT, tokenization, language models, generative AI, controlling response, token range, memory recall, AI models, GPT, anthropic Claude, Google Gemini, context window, book interaction, large language models, OpenAI's GPT 4.0, transcript summary, Everyday AI, Google's Gemini Live AI assistant, new Pixel 9 series, XAI's Grok 2, OpenAI's GPT 4 update, importance of tokens in chatbots, podcast promotion.

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There's a time-saving, eye-boggling AI gem under your nose. Similar to custom GPTs from ChatGPT, Claude Projects can save you a ton of time. But what are they? And how can your company save time using them? 

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Related Episodes:
Ep 206: There is No AI Hype – This is how the world works now

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Topics Covered in This Episode:
1. Introduction to the AI bubble talk
2. The AI Bubble Discussion 
3. Economic Impact of AI 
4. Impact on AI Startups and Big Tech Dominance 
5. Generative AI and its Significance 
6. Reorganization and Revenue Generation in AI-Investing Companies 
7. Misperceptions and Missteps in AI integration 

Timestamps:
00:00 Daily livestream podcast and newsletter for AI enthusiasts.
03:37 Wuhai to rival NVIDIA in AI chip.
07:53 Rapid industry growth can lead to instability.
10:55 Assertive host makes confident, researched opinions weekly.
14:40 Stock market recovers half lost, historical gains.
17:53 AI bubble dominated by larger players, excluding Tesla.
21:42 Dotcom bubble era companies were too young.
22:33 Startup hype vs established company facts: logic wins.
28:38 Invest in generative AI for successful returns.
31:09 Triple down on training for change management.
35:39 Automate data to presentation with Microsoft 365.
37:40 Clear monetization path crucial for company success.
40:41 Transitioning to digital platforms for business operations.
46:11 AI startups face obsolescence with new models.
50:02 Refer 4 friends for daily AI insights.

Keywords:
Jordan Wilson, AI bubble, Everyday AI show, Free Daily Newsletter, Google's Gemini model, Wuhai, NVIDIA, AI chip market, Chat GPT's GPT 4.0, dotcom bubble, generative AI companies, S and P 500 index, market swings, social media influencers, big tech companies, Intel, Dell, Microsoft, Nvidia, Apple, Amazon, Google, Meta, AI startups, generative AI, Microsoft 365 Copilot, regulation, monetization plan, large language models, ROI on AI investment.

EP 335: No, there's no AI bubble so it won't be bursting. Dispelling all the AI bubble talk

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Is OpenAI actually dropping a new model this week, or is it just rumors? Will Perplexity's big payday help it catch Google? Why did Dell cut 12,000 jobs? We'll answer those questions and more on Everyday AI's weekly Monday AI news recap

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Topics Covered in This Episode:
1. Trump's False Claims and Misuse of AI
2. OpenAI Updates and New AI Models
3. Perplexity's Growth and Funding
4. Apple's AI Strategy and Developments
5. Dell's Focus on AI and Industry Impact

Timestamps:
00:00 OpenAI's new model, Dell job cuts, AI impact.
05:37 OpenAI announced search GPT, competitor to Google.
09:28 Apple partners with OpenAI for AI integration.
10:48 Bloomberg report predicts 3 years for advanced AI.
16:18 Dell creates AI unit, plans job cuts.
19:02 AI adoption raises stock, but job impact uncertain.
21:18 Trump alleged fake AI-generated crowd at Harris event.
24:33 Creating realistic content will become increasingly challenging.
28:46 OpenAI introduces powerful chatbot with advanced reasoning.
31:42 OpenAI co-founder leaves, lawsuits filed, internal turmoil.
35:46 OpenAI's powerful model may be unsafe.
41:16 Chatbot emulating human voice raises concerns.
43:34 AI news recap: Perplexity raises $250M, Apple's AI plans.
46:25 AI news, live stream, podcast, newsletter, subscribe.

Keywords:
Jordan Wilson, AI-related situation, US elections 2024, Donald Trump, AI-generated crowd, Kamala Harris, disinformation, AI content, OpenAI, Sam Altman, AI model "strawberry", executive changes in OpenAI, advanced voice modes, AI misuse, AI news, Perplexity funding, Apple's AI features, Dell's job cuts, GPT 4.0 security risks, AI model QSTAR, OpenAI lawsuit, voice emulation, Everyday AI, Sequoia, NVIDIA, Databricks, Bezos Expeditions, Search GPT, Apple Intelligence, AI job loss.

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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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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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There's a time-saving, eye-boggling AI gem under your nose. Similar to custom GPTs from ChatGPT, Claude Projects can save you a ton of time. But what are they? And how can your company save time using them? 

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Related Episodes:
Ep 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT’s GPT-4o

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Topics Covered in This Episode:
1. Overview of Claude Projects
2. Practical Use Cases of Projects
3. Claude Projects vs GPT-4

Timestamps:
01:55 Daily AI news
06:30 About Claude Projects
11:17 Anthropic Claude lacks essential features and connectivity.
19:14 Emphasizing importance of integrating language models in work.
21:43 Large companies need generative AI for efficiency.
36:51 Claude Projects example
42:07 Making Claude Projects an analyst
46:50 GPT converses like a human, remembers context.
51:37 Create various applications easily and transparently.
53:37 Specific vs. broad insights on SEO trends.
58:57 Claude's team plan requires five seats minimum.
01:07:28 Powerful Claude Projects show data in real-time.
01:10:18 Leverage large language models for business success.

Keywords:
Anthropomorphic Claude, Claude projects, large language model, AI capabilities, Palantir, Microsoft, French startup Mistral, OpenAI, Project Strawberry, Amazon, Anthropic, Chat GPT, Prime Prompt Polish Chat GPT course, business use, Apple's AI developments, Claude Projects features, data visualization, business dashboards, email campaign performance, SEO performance analyzer, everyday AI, Claude artifacts, GPT use, AI News Assistant project, AI in business intelligence, Buzzsprout, podcast distribution, legal compliance, Claude 3.5 SONNET, market research analysis

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If you're scared of AI, should you avoid it? The wait-and-see approach isn't gonna work. Fear of AI? Here's what to do about it. Lauren Ingram, Founder of Next Big Thing, joins us to discuss.

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Related Episodes: Ep 224: AI and its Impact on Society – How it might look
Ep 225: Use AI To Break Things with Entrepreneur Magazine’s Jason Feifer

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1.  Impact of fear on AI adoption.
2. Role of diversity in AI adoption and development.
3. AI's future for the younger generation.
4. Steps to get involved in the field of AI.

Timestamps:
01:45 Daily AI news
04:45 About Lauren and Next Big Thing
07:11 Business leaders facing challenges implementing evolving technology.
11:18 Media needs to allay AI fears, inform.
12:51 Concerns about AI displacing jobs in businesses.
15:18 AI information overload requires new perspective.
18:54 Diversity in AI companies leads to profit.
25:05 Understanding technology is crucial for senior leaders.
26:35 Demonstrating use is powerful in adopting technology.
29:25 Engage youth in AI, prepare for change.

Keywords:
Lauren Ingram, Jordan Wilson, AI information, staying updated on AI, jobs at risk, diversity in AI adoption, female AI adoption, diverse leadership, internal education, inclusivity in AI, AI benefits, natural language, ChatTpT, understanding of AI, fear of new technologies, getting into AI field, younger generation and AI, AI and cheating, fearing AI, AI journey, lack of diversity, fear of AI, job displacement by AI, media and AI fear, everyday AI, ByteDance AI video app, Dell, Intel, OpenAI, Next Big Thing.

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What the heck is happening at OpenAI? In a somewhat shocking development, an OpenAI co-founder has left OpenAI for rival Anthropic. And President Greg Brockman is taking an 'extended leave of absence.' What's it all mean?

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Related Episodes: Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about
Ep 149: Sam Altman leaving and the future of OpenAI – 7 things you need to know

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Topics Covered in This Episode:
1. Major Changes at OpenAI
2. Legal Trouble for OpenAI
3. OpenAI's Technology and Impact
4. Future of OpenAI

Timestamps:
02:00 Daily AI news
06:15 Multiple high-level departures at OpenAI, significant impact.
12:47 GPT technology widely used by large companies.
16:08 Employees threatened to leave if demands not met.
18:22 Key OpenAI figures change, raising concerns.
21:05 Economic chaos and political instability in 72 hours.
25:22 Apple rebranding AI as 'Apple Intelligence.' GPT technology used.
27:16 Microsoft's early commitment to AI pays off.
30:32 NVIDIA is least reliant on OpenAI.
35:08 AI advancements raise immense safety concerns and risks.
40:16 Ilya Sutskever left OpenAI to start SSI.
41:16 OpenAI's new model amidst reporting and rumors.
44:20 OpenAI's incredible capabilities are beyond imagination.

Keywords:
OpenAI, Jordan Wilson, Everyday AI, OpenAI drama, co-founder departure, OpenAI president, extended leave, AI news, Figure humanoid AI robot, NVIDIA, copyright violations, Elon Musk, Sam Altman, lawsuit, Peter Dang, John Shulman, Greg Brockman, OpenAI leadership changes, Andrei Karpathy, Ilya Sutskever, Microsoft, artificial intelligence, AGI, Jan Leakey, Anthropic, GPT 5, GPT NEXT, Apple Intelligence, US economy, global economic turmoil.

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Google’s Gemini 1.5 Pro tops GPT-4o, ChatGPT releases Advanced Voice Mode, Canva and Google Make big acquisitions, NVIDIA reported delays causing AI troubles, and more AI News that Matters for the week of August 5, 2024.

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Related Episode:
Ep 324: Apple Intelligence delayed, OpenAI’s SearchGPT & more – AI News That Matters

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Topics Covered in This Episode:
1. Microsoft's Investment in OpenAI

2. Canva's Acquisition of Leonardo AI

3. Google's Latest Acquisitions and AI Developments

4. Google's New AI Models Advancements

5. NVIDIA's Reaction to Manufacturing Delays Rumors

6. ChatGPT Advanced Voice Mode

7. Meta AI Studio rollout


Timestamps:
00:00 Microsoft and OpenAI both compete and partner.

05:49 Canva acquires Leonardo AI to enhance technology.

09:07 Google Gemini 1.5 pro AI surpasses competitors.

13:02 NVIDIA denies AI chip shortages and delays.

17:31 Compact Gemma 22b AI outperforms larger models.

19:15 Future language models shifting to smaller sizes.

25:05 AVM AI mode mimics natural speech patterns.

29:18 Meta's customizable language model llama 3.

31:49 Canva acquires Leonardo AI; Google unveils Gemini.

33:46 Exciting AI news from major tech companies.


Keywords:
Microsoft, OpenAI, Canva, Leonardo AI, Google, Gemini 1.5 pro 0801, NVIDIA, GPU delays, JEMMA 22b, GPT 3.5, ChatGPT, Meta, AI Studio, Instagram, AI landscape, AI chip shortages, Google DeepMind, Gemma 2 2b, AI news, Jordan Wilson, SearchGPT, CEO ousting, Character AI, Cloud communication, OpenAI Advanced Voice Mode, emotional cues, natural speech patterns, latency, customizable chatbots, Llama 3.

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CEOs take on a ton of responsibilities to help keep a company running. Do you think that AI can make the same kind of decisions as a CEO? Greg Shove, CEO of  Section, joins us to discuss. Our answer might surprise you.

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Related Episodes: Ep 323: How AI Is Changing Workplace Productivity
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

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Topics Covered in This Episode:
1. AI's Role in Decision Making
2. AI Adoption in the Organization
3. AI and Data Security
4. AI Education and Importance

Timestamps:
01:35 Daily AI news
05:20 About Greg and Section
07:01 CEOs tout AI for efficiency, lay-offs implied.
09:49 Balancing between operational and strategic thinking is essential.
10:52 Episode 310 covered CEO thinking on language models.
16:46 AI simulates board members, captures feedback.
18:28 Use AI for efficient meeting preparation and decision-making.
23:26 Transition to interacting with AI, self-realization.
24:16 AI as a helpful companion for knowledge.
27:29 Encourage behavior change, integrate AI in marketing.
32:12 Ask for AI opinion to drive innovation.

Keywords:
AI attendee, ChatGPT, Jordan's webinar, AI in meetings, PPP course, AI and large language models, day-to-day operations, Greg Shove, skepticism towards AI, deployment of AI in teams, CEOs and AI adoption, data security and privacy, mistrust of big tech, AI as a thought partner, AI in decision-making, AI in medical decisions, knowledge workers and AI, anxiety about AI, AI course, call center jobs and AI, CEO and AI usage, AI for small business owners, AI as CEO, high low thinking, Everyday AI show, DOJ, NVIDIA, Apple, Google's Gemini 1.5 pro, AI education.

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What's currently going on with AI and high school students? How is the future FUTURE generation looking at AI? Are they using it, abusing it, or a little of both? Armaan Priyadarshan and Vasu Lakshmanan, high school students of Massachusetts Academy of Math & Science at WPI, join us to discuss.

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Related Episodes: Ep 304: Preparing Today’s Kids for the AI Future
Ep 316: The Future of Generative AI in the Classroom. How Will It Work?

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Topics Covered in This Episode:
1. Impact of AI in High Schools
2. AI and College Selection Process
3. Risks and Benefits of AI in Education
4. Integration of AI in Education
5. Balance between AI and Human Creativity

Timestamps:
00:00 Generative AI impact on high school students.
03:59 Microsoft lists OpenAI as competitor in report.
08:03 Generative AI and language models changed education.
12:46 GPT changed word choice and writing process.
14:30 AI's impact on education and creativity.
16:59 Discussing writing assignments, creativity, and individual performance.
21:30 Promote AI ethical use through student engagement.
23:34 Using AI in college essays and testing.
28:48 Admitting to being lazy in school work.
31:20 Parents' attitudes towards AI vary with background
34:39 AI role in group work is limited.

Keywords:
AI in education, high school students, learning abilities, future of education, learning how to learn, responsible AI use, creative pathways, opportunities in AI, risks in AI, AI podcast, everydayai.com, college selection process, generative AI, standardized testing, college essays, AI overreliance, misinformation, coding errors, technological advancements, AI and creativity, analytical skills, AI shortcuts, human creativity, AI integration, calculators in schools, Chat GPT, higher-level thinking, Taco Bell AI, Meta AI, OpenAI.

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Yeah, AI is cool. But have you tried AI WITH good data?! If you're running into AI implementation bottlenecks, it could be your data to blame. Matthijs de Vries, Founder & CEO of Nuklai, joins us to tackle AI and data.

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Related Episodes: Ep 268: AI’s Data-Driven Decision Paradox
Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our world

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Topics Covered in This Episode:
1. Data and Large Language Models (LLMs)
2. Practical Data Strategies
3. Data Quality Issues

Timestamps:
01:35 Daily AI news
05:00 About Matthijs and Nuklai
06:48 Data bottleneck hinders implementation of generative AI.
10:26 Start with a goal, leverage data effectively.
13:20 Collaborating on data is costly, causing limitations.
15:46 Standardize data access to improve overall efficiency.
18:46 Discussion on the use of synthetic data.
23:13 Challenges for small AI projects due to funding.
27:33 Crowdsourcing data important for future developments.
28:38 Data used to improve bread quality. Multiple purposes.

Keywords:
Everyday AI, Jordan Wilson, generative AI, data bottleneck, OpenAI, GPT 4, SAM 2, video segmentation, Meta, AI Studio, chatbot creation, llama 3.1 model, Matt deFries, Nuclei, structured data, unstructured data, Large Language Models (LLMs), AI implementation, data in silos, data consortiums, data pipelines, data collection, memory efficiency, synthetic data, crowdsourcing data, data quality, human-generated data, collaboration, data science, philosophy in data.

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Is there so much misinformation about AI that it's slowing the advancements in.... AI? How can we set the record straight on Artificial Intelligence, push fear-mongering aside, and ethically put it to use?  David Moschella joins us to discuss and find out.

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

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Topics Covered in This Episode:
1. Big Tech and AI misconceptions
2. AI products developments
3.  America's leadership in AI
4.  Job predictions and future of work
5. Significance of AI in daily life

Timestamps:
01:15 Daily AI news
04:20 About David and the Information Technology and Innovation Foundation
10:37 Technology doesn't eliminate jobs; AI won't either.
14:49 Insufficient information provided for summarization.
15:46 Comparison: Industrial vs. information revolution, vital needs.
18:59 Reliance on internet for work and backups.
23:35 AI impact on misinformation: Awareness, readiness, balance.
25:39 AI acceptance accelerates, reaching critical mass quickly.
31:06 Text critics miss key points about AI, technology.

Keywords:
AI news, Elon Musk, AI supercomputer, Memphis, Ashton Kutcher, OpenAI's SoRA, NVIDIA, Apple, market value, AI industry, misconceptions about AI, AI critics, societal challenges, AI benefits, AI development, generative AI, AI and jobs, AI and society, surveillance state, technological innovation, Everyday AI, free course, Chat GPT, PPP course, podpp.com, job predictions, job elimination due to AI, AI in physical tasks, road repair, automation, robotics, declining populations, generative AI, dependence on AI, AI deepfakes, misinformation, legal implications of AI.

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Why is Apple delaying their 'Apple Intelligence?' What does SearchGPT mean for Google and Perplexity? Is Meta's Llama the future of LLMs? Here's this week's edition of AI News That Matters.

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Related Episode:
Ep 321: Meta Llama 405B and Llama 3.1 – What’s new and what you need to know
Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about

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Topics Covered in This Episode:
1. Meta's New Llama updates and LLM
2. Apple's AI strategy and concerns
3. Major investments in large language models
4. Unveiling of OpenAI's Search GPT
5. OpenAI's financial situation

Timestamps:
00:00 Llama 3 1405b model competes, open source.
04:40 Meta plans integrating multi mod capabilities, agent-like functions.
11:22 Delay in Apple's new iPhone feature release.
14:08 JPMorgan Chase to implement large language models.
18:53 OpenAI's exclusive content deals impact search engines.
20:13 Ethical considerations, challenges, and impact on publishers.
23:30 OpenAI faces potential $5 billion loss.
28:45 OpenAI's different approach to releasing AI.
31:57 Meta updates Llama, Apple delays AI, big banks utilize AI.

Keywords:
Ethical considerations, search GPT's design, misinformation, intellectual property, biased content, privacy concerns, web traffic, digital business models, OpenAI, Stack Overflow, financial strategy, high growth AI ventures, Meta, desktop app, text-to-speech features, Apple Intelligence, iOS 18.1, Morgan Stanley, Chase Bank, large language models, financial advisors, SearchGPT, Google, llama 3.1, open source model, GPT-4 Omni, AI capabilities, developer version, beta testers, accuracy and security.

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From faster software development to quicker meeting notes, AI can help us be more productive. But, how can that scale? And how can we balance AI-powered productivity with still doing meaningful work? Dean Guida, Founder & CEO of Infragistics, joins us to discuss.

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Related Episode:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 298: Going from Everyday AI to Game-Changing AI

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Topics Covered in This Episode:
1. Current State of AI
2. AI and Workplace Productivity
3. Implementation and ROI on AI
4. Burnout and Productivity Issues
5. Hiring for AI adoption

Timestamps:
01:30 AI excels at advanced math problem-solving.
05:15 About Dean and Infragistics
08:54 CEO addresses challenges and opportunities in AI.
12:30 Company leveraging AI for data and analytics.
14:27 Adoption of new tasks challenges senior developers.
17:56 Encourage small team to use AI tools.
21:28 C-suite expects AI productivity, workers struggle.
25:56 Tech CEOs overinvest in future technology for competitiveness.
28:13 AI training on business data unlocks value.

Keywords:
AI, Dean Guida, Jordan Wilson, training employees, software development, real-time translation, change management, advancements in AI tools, market and economics of AI, resistance to AI tools, coding, NVIDIA CEO Jensen Huang, The Everyday AI Show, generative AI, workplace productivity, Hollywood video game performers strike, Google DeepMind, OpenAI, Infragistix, Slingshot, understanding AI, data analysis, balance of productivity and AI, burnout, business growth, future technology investment, hiring growth-minded people, AI tools benefits, c-suite leaders expectations, workforce capability and capacity.

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The future of communication might look a whole lot different than it does today. Why? More devices. Faster responses. AI-powered knowledge. NVIDIA's Senior Vice President - Telecom Ronnie Vasishta joins us to give us the scoop.

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Related Episode:
EP 184: On-Device AI: What it is and do we need it? What no one’s talking about
Ep 264: AI-Powered Devices: Do we actually need them?

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Topics Covered in This Episode:
1. Edge AI and on-device large language models.
2. Intersection of AI and 6G
3. Role of NVIDIA in 6G and AI
4. Learning Opportunities and the Value of 6G
5. Future communication possibilities

Timestamps:
01:35 Daily AI news
04:30 About Ronnie, NVIDIA senior VP leading telecom tech initiatives.
08:12 5G brings faster communication speeds, enabling various applications.
12:39 AI essential for seamless network and services.
14:27 Evolution of 5G and AI in networks.
17:38 Telecom operators investing in AI for services.
26:05 Concerns about technology capabilities and network challenges.
29:31 Advances in 5G network capabilities and monetization.
32:10 AI will transform telecommunications for businesses

Keywords:
Ronnie Vasishta, Edge AI, Large Language Models, Communication, Work, Prime Prompt Polish Chat GPT Course, On-device Language Translation, Visual Collaboration, Autonomous Vehicles, Network Capacity, Technological Demands, Internet-connected Large Language Models, Humanoid Robots, Computer Vision, Everyday AI Podcast, 6G, AI News Updates, AI Industry, NVIDIA, Telecom Infrastructure, Telecommunications Network, 5G, Improved Coverage, Infrastructure Changes, Intelligent Connectivity, Spectral Efficiency, Bottleneck Period, Generative AI, Business Models, Innovative Services.

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Another one!? Another day, another HUGELY impactful model. Days after OpenAI drops the game-changing GPT-4o Mini, Meta responds with a one-of-a-kind model in Llama 3.1 and the brand spankin new 405B model. What's it all mean? We gotchyu.

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Related Episode:
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about

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Topics Covered in This Episode:
1. Highlights of Meta's New Model - Llama 3.1
2. Spotlight on the 405b model
3. Functionalities and User Interface Updates
4. Meta's Focus and Its Implication on AI and Business

Timestamps:
01:30 Daily AI news
06:30 Meta Model overviews
11:11 Free open source models, accessible with limitations.
16:20 Meta's quick product launches receive praise.
17:32 Llama 3 to 3.1 brings huge improvements.
20:11 AI advancements democratizing app development and deployment.
24:35 Meta's benchmarks indicate promising performance
30:15 Customizable large language model for specific tasks.
34:46 Mark Zuckerberg's influence on AI prominence evident.
37:33 Experts and knowledge will be replaced by models.
42:27 Typing in real time with Meta AI.
43:24 Creating testing questions for new model iterations.
48:11 New model requires less prompt engineering, delivers more.
51:10 Ranking answers, prompt techniques, standardized testing methods.

Keywords:
OpenAI, Llama 3.1, Google, Databricks, Snowflake, Microsoft, AWS, Dell, NVIDIA, Grok, IBM, model distillation, data generation, MMLU comparison, GPT 4 o Mini, 405 b release, sharing chat transcripts, ad retargeting, custom GPTs, AI agents, Mark Zuckerberg, Meta, metaverse, 8b model, 70b model, 405b model, MMLU benchmark score, Meta AI, edge devices, OpenAI vs Meta.

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We made it to 1 million downloads! Wooo! To celebrate our upcoming, 'Thanks a Million' campaign, we're doing something special to celebrate y'all.

We ran a LIVE audience quiz on today's livestream that covered ChatGPT and other LLMs. Think you got what it takes? Follow along and put your knowledge to the test!

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Related Episode:
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes

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Topics Covered in This Episode:
1. ChatGPT and Other LLMs Quiz
2. Discussion on AI Models

Timestamps:
02:45 Daily AI news
06:56 Launch of giveaway in newsletter for chat GPT.
14:49 Comparison of energy use between GPT and Google.
16:37 Free users cannot use GPTs or customize.
26:38 Inquiring about modes and coding languages.
31:15 22 options, Gemini and ChatGPT discussion.
36:41 Internet delay, quiz results, $1,000 prize.
39:04 Free chat GPT users access new GPT 4.
44:52 Successful test of token counter and recall.
53:15 ChatGPT: a powerful business operating system. Companies invest thousands to unlock its potential.
57:02 Chat GPT 4 o Mini does not allow file uploads.
01:01:47 Grateful for support, join giveaway, pay attention.

Keywords:
Jordan Wilson, quiz, podcast, GPT-4o, Chat GPT, trick questions, Microsoft, IBM, OpenAI, Amazon, NVIDIA, Meta, Llama 3.1 model, paid AI model, senate Democrats, thanks a million campaign, giveaways, contests, Everyday AI, tokens, Perplexity Pro, Everyday AI Prompt Polish Chat GPT Course, business owner, large language models, PowerPoint presentations, Chat GPT teams, Gemini, Claude, GPT 4 0 Mini, Python code.

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A new large language model from the industry leader.
Huge updates in AI lawsuits.
International turmoil around AI regulation.
 
That's just the beginning. This week was a chaotic one in AI news. What's it all mean for your biz? We got you.

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Topics Covered in This Episode:
1. Use of Copyrighted Content to Train AI
2. Current State of AI Education
3. Release of OpenAI's GPT 4 o Mini
4. Launch of AI-Driven Education Platform, Eureka Labs
5. Withholding of Meta's future AI models and features by the EU

Timestamps:
03:15 Tech giants accused of illegally using YouTube subtitles.
07:00 Language model akin to a search engine.
10:35 OpenAI requests stories, affecting journalism and copyright.
11:46 Journalist pivots to AI, predicts legal implications.
17:41 AI course for building functioning web app.
18:58 Kaparthy is a leader in AI development.
22:27 Off-camera conversations reveal more significant insights.
27:29 EU announces strict EUAI Act; Meta's LAMA.
30:06 OpenAI unveils new GPT-4oMini language model.
31:56 OpenAI API facing issues, costly for developers.
38:07 Use GPT-4.0 for products, services, AI.
41:06 GPT-4 Mini leads in machine learning, AWS offers fine-tuning.
42:44 OpenAI's development lacked, developers looked elsewhere.

Keywords:
AI assistants, human teachers, LLM 101n, digital cohorts, physical cohorts, Meta's celebrity chatbots, storyteller AI large language model, Python, C, CUDA, funding, AI technology education, resources focus on sales, Jordan Wilson, Everyday AI, Thanks a Million Giveaway, tech giants' illegal use of YouTube subtitles, Anthropic, NVIDIA, Salesforce, copyright violation, training large language models, decline in traffic for Stack Overflow, Marquise Brownlee, mister Beast, Meta withholding AI models from EU, Apple's withheld AI features, OpenAI GPT 4 o Mini, cost-effective AI solutions, competitive pricing of AI models.

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There's nothing MINI about GPT-4o Mini. OpenAI just released a brand new model, and it's actually a LOT bigger than you might realize. We give you everything you need to know: including some live comparisons with GPT-4o, the impact on the business world, and 7 important things you need to know.

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Related Episode:
EP 274: 7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about

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Topics Covered in This Episode:
1. Introduction to GPT-4o Mini
2. Impact of GPT-4o Mini on AI Industry
3. Comparisons Between AI Models
4. Accessing and Usage Implications of GPT-4o Mini

Keywords:
GPT-4o Mini, OpenAI, instruction hierarchy method, large language models, AI applications, energy demands, NVIDIA, AMD, Qualcomm, GPUs, AI advancement, cost-output balance, price per million tokens, MMLU score, GPT 3.5 Turbo, ChatGPT, Jordan Wilson, problem solving test, Verity Solutions, Nomezy, Home Vigil, Lifeguard, AI advancements impact, OpenAI Playground, vision capabilities, environmental implications, Apple's AI plans, Anthropic, Google, Everyday AI Show.

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If AI is supposed to make things go fast then why can enterprise adoption be so slow? Rajamma Krishnamurthy knows a thing or two about it. She’s the Sr Director, Leader Enterprise AI for Microsoft. So not only is she an actual PRO at helping enterprises grow with AI, but she also works at one of the largest companies in the world that builds the AI we all use.

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Related Episodes: 
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

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Topics Covered in This Episode:
1. Steps to Implementing AI in Companies
2. Four Pillars of Implementing AI
3. Impact and General Perception of AI
4. Challenges of AI Adoption

Timestamps:
01:20 Daily AI news
04:40 About Rajamma and her role at Microsoft
09:11 Utilizing search function to quickly find documents.
11:30 AI is an enabler, focus on strategy.
14:14 AI is essential for future business success.
17:21 Form passionate team, understand business, focus areas.
22:56 Data-driven decision-making is crucial for success.
26:53 AI integrated into various non-AI companies.
31:02 Advice on overcoming AI inertia and momentum.
31:45 Embrace AI, experiment, and move forward confidently.

Keywords:
AI implementation, big companies, AI-solvable business problems, architecture perspective, infrastructure readiness, AI adoption education, responsible use of AI, AI in customer support, future job requirements, AI skills, institutional knowledge, decision-making, future of knowledge work, generative AI, business strategy, shared services, US and Japan companies, AI adoption hesitation, AI democratization, small companies, AI development pace, employee training, AI inertia, everydayai.com, podcast subscription, AI models, European Union, AI in health care, Microsoft, AI in Japanese companies.

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Should classrooms be banning AI? Or should they be encouraging students to use it at every step of the way? And with so much uncertainty, how can we be prepared for what the future of education looks like? Jules White, Senior Advisor to the Chancellor for Generative AI in Education at Vanderbilt University, joins us to tackle those tough questions.

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Related Episodes:  Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 252: What schools need to do now to benefit from an AI future

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Topics Covered in This Episode:
1. AI Content Detectors in Education
2. Importance and Need for AI Training
3. Embracing Technology in Education
4. ChatGPT and its Impact on Higher Education
5. Ethical and Legal Issues with AI Training Practices

Timestamps:
01:30 Daily AI news
05:00 About Jules and his role at Vanderbilt University
08:19 Rapid adoption of AI presents challenges.
13:16 Teaching generative AI as a foundational skill is essential.
16:39 Self-learners benefit from personalized learning tools.
23:01 Understanding generative AI is crucial for students.
26:52 Faculty creatively engage students in language learning.
29:16 Thesis flagged, AI detectors lack nuance.
31:48 New technology creates growth, risks irrelevance.

Keywords:
AI content detectors, AI in education, intentional use of AI, innovation in technology, augmented intelligence, critical thinking, creativity in education, chat GPT, interdisciplinary challenges, free AI course, higher education changes, prompt engineering, AI biases, generative AI, AI in the classroom, Google and OpenAI controversy, Imagine 3, Eureka Labs, traditional teaching methods, AI learning experiences, AI adoption challenges, generative AI skill demand, high school education, AI teaching incentives, university technology adaptation, AI detectors critique, conflicting perspectives on data, personalized learning, online learning resources, mental atrophy due to AI reliance.

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I have a secret. I'm barely using Chrome nowadays. The reason is simple -- AI. I'll show you some dead easy tips and tricks on how you can start winning back your time like yesterday with my new fave AI-powered browser. And it's prolly not what you think.

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Related Episodes: Ep 251: Are LLMs Actually Connected To The Internet?
Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?

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Topics Covered in This Episode:
1. Overview of Microsoft Edge Copilot
2. Key Features of Microsoft Edge Copilot
3. Practical Application of Microsoft Edge Copilot
4. Interaction with Web Page and AI
5. Personal Life Application of Copilot

Timestamps:
01:30 Daily AI news
05:10 My AI-powered browser of choice
08:53 Browser choice impacts AI tool usage significantly.
12:39 Access to Microsoft 365 Copilot may vary.
13:43 Amazon announced AI shopping assistant Rufus.
18:00 Copilot banner allows for AI-generated prompts.
22:35 3 options for Microsoft Copilot usage, settings required.
24:15 Microsoft Copilot improves live typing experience.
27:03 Leverage Copilot's full power for efficient tasks.
31:41 New feature changes how you use Internet.
34:46 Microsoft Copilot streamlines Internet search experience.
38:42 DALL E in Edge sidebar for blog graphics.
39:57 Use Copilot banner for best language models.

Keywords:
Microsoft Edge Copilot, AI-first approach, internet use, uploading image, using microphone, utilizing DALL E 3, chat with web page, AI implementation tips, faster research, Jordan Wilson, Nike impact reports, PDF format, browser efficiency, Copilot banner, conversational styles, page summary, conversational interaction with web page, audio playback, blog post outline, Everyday AI podcast, AI-powered robots, Google Gemini AI, Workspace apps, Apple betas, iOS 18, iPad OS 18, macOS Sequoia, ChatGPT, Amazon Prime Day, Microsoft 365 Copilot enabled account.

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OpenAI's 5 levels to AGI leaked -- what does it mean?

Google Gemini's got some huge robotic breakthroughs with its Gemini LLM -- is this the big thing that'll push robotics forward? 🤖
 
Amazon released hundreds of new GenAI features and Rufus -- will it change shopping

Here's this week's AI News That Matters!

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Topics Covered in This Episode:
1. Advancement in Robot Navigation: Google DeepMind
2. Amazon Web Services Major AI Rollout
3. Amazon's New AI Shopping Assistant - Rufus
4. OpenAI's Project Strawberry

Timestamps:
02:20 Google DeepMind Robotics
05:09 OpenAI reveals new AI level classification system.
09:46 Amazon launches AI shopping assistant, named Rufus.
13:36 AI to navigate web autonomously for research.
15:06 Rumored strawberry project, continuation of Q Star.
19:00 Advancing AI models can replicate human actions.
22:53 Language models evolving to require human guidance.
26:08 Chatbot battles, part of weekly AI routine.
29:24 AI news recap
31:39 Win money by answering questions live.

Keywords:
AI development, Google DeepMind, robot navigation, Google Gemini 1.5 pro, office automation, human-robot interaction, OpenAI, AI classification system, Amazon Web Services, generative AI, AI language models, AWS App Studio, AI revenue, AI shopping assistant, Rufus, Amazon Prime Day, project Strawberry, AI reasoning, Stanford's self-taught reasoner, Q Star model, AI web research, Bloomberg, AI progress tracking, model generation, social media marketing, AI news, AI live event, AI models evolution, chatbot advancements, workflow automation.

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Wondering what on earth a GPT is and if you should use one? Yes! GPTs kick ChatGPT up a notch, letting you make custom workflows to fit your needs. Whether you're a newbie or you've dabbled with a few GPTs before, 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

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Timestamps:
03:00 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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It's no secret – AI can be an energy hog. Did you know a ChatGPT prompt is about 10X more resource-heavy than a Google search?! Can we actually use AI to reduce energy consumption in the long run? And how can companies start thinking about the impact of their Generative AI usage? Aymeric Maudous, Founder and CEO of Lord of the Trees joins us to discuss.

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Related Episodes: Ep 257: GenAI – Turning trash into treasures?
Ep 119: AI in Renewable Energy – Insights from NVIDIA

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Topics Covered in This Episode:
1. Concerns about resource-intensive nature of AI
2. Use of AI for environmental efficiency
3. High-tech and low-tech ecological methods
4. AI Energy Consumption and Environmental Impact
5. Encouraging Greener AI

Timestamps:
01:45 About Aymeric and Lord of the Trees
06:15 Using drones for efficient, precise reforestation monitoring.
08:00 Exploring artificial intelligence for tree growth efficiency.
11:08 AI aids in biodiversity recovery and regeneration.
13:41 Indigenous knowledge crucial for managing forest landscapes.
19:19 Drones work 48 hours, plant more trees.
22:52 Projects sustain endangered species in various locations.
26:57 Prototype drone tested in extreme weather conditions.
29:55 Algorithms, progress, support, one step at a time.

Keywords:
Jordan Wilson, AI environmental impact, resource-intensive nature of AI, Aymeric Maudous, Lord of the Trees, biodiversity restoration, landscape analysis, plant requirements, digital twin technology, precision planting, drones, forestry methods, LIDAR, Python algorithms, data collection, reforestation decision-making, soil analysis, high-tech and low-tech combination, indigenous people engagement, emissions monitoring, AI carbon footprint, exponential growth in AI, greener AI, everydayai.com, drone swarm, B Corp, generative AI's power demands, top management support, reforestation projects, drones design modification.

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Wanna know a lil secret? Perplexity's a cheat code for growing your biz. Chances are, though, you've got a few things wrong about this AI powerhouse and you're not using it to the fullest. We dish the real 101 on Perplexity and the 5 things you need to know about it.

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Related Episodes: Ep 271: OpenAI Releases GPT-4o: 12 things you need to know
Ep 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT’s GPT-4o

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Topics Covered in This Episode:
1. Overview of Perplexity
2. Differences Between Free and Paid Perplexity
3. Use Cases of Perplexity
4. View and Edit Sources Using Perplexity
5. Future Implications of Perplexity

Timestamps:
01:20 Daily AI news
06:30 Perplexity overview
08:52 Many hours spent doing work on the open Internet.
13:56 Using perplexity to create custom instructions, responses.
15:16 Save time by curating and publishing content.
19:43 Decent options, limited internet connection, paid plans.
23:57 Live explanation and request for audience input.
25:02 Analyze company's and 3 competitors' insights
30:07 Check sneaker dunk, remove old or irrelevant sources.
32:36 Nike Air Jordans: SWOT analysis
39:08 Limit search to 5 websites at a time.
42:09 GPT-4o update competes with perplexity.
44:11 GPT-4o from OpenAI provides valuable customization options.
48:07 Website blocks scrapers to protect information.
52:16 Fewer clicks on websites, future in AI.

Keywords:
Jordan Wilson, Perplexity, paid version, free version, advanced models, GPT-4, OpenAI, Claude 3.5 SONET, AI images, SWOT analysis, Nike, Adidas Yeezy, Under Armour Curry, New Balance Kawhi, athletic shoe brands, fertility clinics, SEO, Chat GPT4, Perplexity features, large language models, research tools, online news scraping, controversy, search engine, Microsoft Copilot, Everyday AI, FBI, Russian bot farm, antitrust issues, Perplexity as answers engine.

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You're making one BIG mistake with ChatGPT. Actually, we're all making the same mistakes when we use large language models. I've trained THOUSANDS of business leaders live on getting the most out of LLMs. So I know not only WHY we're all making this mistake, but how to easily fix it as well.

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Related Episodes: Ep 266: Stop making these 7 Large Language Model mistakes
Ep 271: OpenAI Releases GPT-4o: 12 things you need to know

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Topics Covered in This Episode:
1. Current Role of AI and Skills
2. Future Impact of AI on Employment
3. Misuse of AI and the Potential Effects
4. Harnessing AI for Skill Improvement

Timestamps:
02:10 Daily AI news
05:30 How we use LLMs
08:12 AI changes our approach to technology use.
11:45 Early use of generative AI in writing.
13:53 Precision in words, paragraphs, and transitions matters.
19:07 Writing newsletter, storytelling, and crafting compelling copy.
23:12 Train, refine and use ChatGPT wisely.
26:53 Early articles described AI as dangerous technology.
28:31 Consulting companies embrace large language models for growth.
33:44 We offer assistance for various problems.

Keywords:
AI, expertise, manual skills, promotions, rewards, skill sets, daily newsletter, writing, ChatGPT, prompt engineering course, RefineQ technique, large language models, misuse of AI, intentional AI use, consulting companies, PwC, Deloitte, Accenture, outperforming humans, narrow tasks, Jordan Wilson, individual consults, LinkedIn promo, laziness, productivity, efficiency, OpenAI, The New York Times, AI video tools, AI-powered health company.

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Was your info compromised in the OpenAI hacks? What will Tesla's new Optimus Gen 2 mean to the business world? And how did Apple get a board seat at OpenAI? We'll answer those questions, and break down everything else you need to know to keep up in the world of Generative AI.

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Topics Covered in This Episode:
1. Hacking of OpenAI
2. Tesla's new Robot, Optimus Gen 2
3. Delay of Siri Upgrade
4. Apple Joins Microsoft in OpenAI Board
5. New Challenger to GPT-4o from SenseTime

Timestamps:
02:00 OpenAI breach highlights need for AI security.
06:13 Elon Musk expects Tesla humanoid robot cost.
07:29 Advancements in AI and humanoid robots discussed.
13:42 Debating AI capabilities in new Apple phone.
16:23 Apple joins OpenAI board, grows AI involvement.
21:06 Tech companies face intense federal antitrust scrutiny.
22:18 OpenAI important, powering Microsoft, Apple products.
26:02 SenseTime releases new GPT-4.

Keywords:
OpenAI, hack, Tesla, AI-powered, gen 2 Optimus robot, Apple, valuable seat, board, AI news, AI technology, generative AI, companies, careers, livestream, podcast, daily newsletter, data breach, design details, foreign government, influence operations, deceptive activities, AI models, Biden White House Administration, AI industry, safeguarding AI information, humanoid robot, Computer Vision technology, Elon Musk, market cap, Microsoft

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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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AI + sales = spammy. Right? Or, is there a better way? Can we actually use Generative AI to learn more about prospects, increase interest and connect more as humans? Manny Medina, CEO and Co-Founder of Outreach, joins us to discuss. 

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Related Episodes: Ep 262: AI Sales Secrets Revealed – Work less. Sell more.
Ep 94: Boosting Sales with AI Tools – Personalization Tips for Success

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Topics Covered in This Episode:
1. Use of AI in Sales
2. Challenges of AI in Sales
3. Role of Sales Organizations
4. AI For Better Communication and Sales Strategies
5. Future of AI in Sales and Personalized Sales

Timestamps:
01:30 Daily AI news
04:50 About Manny and Outreach
07:30 AI's impact on sales and relevancy.
12:55 AI can be fun and impactful.
16:41 Feedback on interactions is essential for managers.
20:08 AI streamlines tasks, monitors relationships, evolves rapidly.
21:07 AI and human cooperation for future relevance.
25:00 AI-driven relevancy to increase in 2 years.
31:35 Prompt before you write, exercise empathetic muscle.

Keywords:
Sales organizations, new products, product positioning, customer interactions, AI in sales, feedback collection, sales rep instructions, generative AI, AI evolution, work-life balance, efficient sales reps, time management, sales outreach, obstacles in AI deployment, relevancy in sales, AI personalization, Meta AI, Apple OpenAI, Google AI, Manny Medina, Outreach, laziness in AI personalization, language models in communication, AI tools, meeting summaries, sales strategies, embracing AI technology, habit changes, daily newsletters, podcast sharing.

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In December 2023, we laid out 24 spicy hot takes on the future of Generative AI. We're giving ourselves a midterm report as we hit the halfway point of 2024 to see if we crushed our predictions, or if the nonstop pace of GenAI crushed us.

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Related Episodes: Ep 124: 5 Ways Generative AI Shows Up in 2024
Ep 171: GenAI in 2024 – What’s coming and what it means for you

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Topics Covered in This Episode:
1. Review of 24 predictions for 2024
2. AI Robotics
3. AI Misinformation and Legislation
4. Large Language Models
5. Future of Big Tech Companies
6. Future of GenAI
7. Competition against NVIDIA
8. Predictions about OpenAI
9. Job Market Changes due to AI

Timestamps:
02:50 A look at our 2024 AI predictions.
05:52 Remote workers struggle to access AI systems.
11:11 Excited attendee sees NVIDIA's unveiling of robotics.
20:57 Training large language models requires quality data, not bots and trash content from Twitter.
26:02 GPT-4: Future desktop assistant with agent capabilities.
28:39 Rag becoming a buzzword in AI industry.
34:27 Copyright infringement lawsuits expected for large companies.
37:47 Expect number 9, big changes in AI.
43:09 NVIDIA's stock split made them top company.
51:33 Many AI tools can create products quickly.
57:29 AI investment leads to successful layoffs in 2024.
59:04 Midway through 2024, what about AI?
01:06:32 20 out of 24 predictions are true.

Keywords:
Jordan Wilson, generative AI, AI predictions, second computer AI, individualized learning, AI robotics, AI misinformation, AI legislation, AI watermarks, Grok, Apple AI, home assistants, AI agents, legacy media companies, large language models, Gen AI training, Microsoft, Amazon, NVIDIA, compute resources, Inflexion AI acquisition, AI future of work, agent capabilities, LangChain, retrieval augmentive generation (RAG), mini-RAG, traditional SEO decline, copyright battles in AI, OpenAI, video AI.

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Is TIME becoming an AI leader? What is Apple's new AI strategy? And AI outsmarts professors -- is that actually a sign of passing the Turing test? Here's this week's AI news that matters.

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Related Episodes: Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Ep 252: What schools need to do now to benefit from an AI future

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Topics Covered in This Episode:
1. TIME's AI deals with OpenAI
2. Apple's New AI Strategy
3. AI in Academia
4. Anthropic's Claude AI updates
5. NBC's implementation of AI

Timestamps:
01:50 Apple's AI strategy.
04:04 Apple hoping to compete with new software.
08:36 Time Magazine partners with OpenAI, benefits mutual.
11:03 AI products summarize content, reduce internet time.
16:03 College students using AI to cheat online.
19:17 US education system not fully teaching generative AI.
23:14 Anthropic releases powerful new AI features.
27:20 NBC uses AI for personalized Olympic recaps.
31:46 AI's impact on jobs and future skills.

Keywords:
AI content detectors, AGI, generative AI, educational systems, grading methods, Anthropic, Claude AI, GPT 4, Google Gemini, AI news, NBC, Al Michaels, Your Daily Olympic Recap on Peacock, Peacock streaming, AI-generated content, podcast, AI predictions, Jordan Wilson, Time Magazine, Apple, iPhone 16, OpenAI, 11 Labs, device upgrades, AI services, media partnerships, AI-generated exam answers, University of Reading, academic integrity, Turing test.

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If AI literacy is one of the most important skillsets in our future workforce, why are kids not being taught those exact skills. Instead, schools blanket ban AI. There's gotta be a better way. David Dodge, Founder and Director of CodaKid joins us to break it down.

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Related Episodes: Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 252: What schools need to do now to benefit from an AI future

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Topics Covered in This Episode:
1. Role of AI in Education
2.  Importance of early AI Education
3. Ways to Incorporate AI Education
4. Ethical and responsible teaching of AI
5. Technical skills and Applications of AI for Kids

Timestamps:
01:15 Daily AI news
04:00 About David and CodaKid
09:23 Concern about AI's impact on critical thinking.
10:32 Skills needed for adults and children in AI.
16:02 Creating GPT assistance for personalized media recommendations.
18:27 AI struggles building full-stack apps, improving.
21:56 Concerns about AI in education and benefits.
24:45 Misunderstanding of AI literacy in US schools.
30:09 Potential impact of AI on children's future careers.
32:52 Exciting challenges in AI education for kids.

Keywords:
Jordan Wilson, David Dodge, generative AI, SoftBank Group Corp, bond sales, artificial intelligence investment, OpenAI, critic GPT, AI model, Code A Kid, kids coding academy, AB testing, technology programs, full stack applications, AI in education, teacher attrition, AI platforms, Chat GPT course, future employment, Everyday AI Show, computer science standards, online AI education, kidpreneurship, AI ethics, problem-solving, creativity, Chater GPT, personalized tutoring, Roblox, relevant tech skills.

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What does the future of AI look like? A lot of AI futurcasting starts as seedlings at AI conferences across the country. Sometimes we're lucky enough to attend and speak at some of these conferences. Sometimes, speakers and panelists are spot-on when talking about the future of AI. And at times, they can miss the mark. We're giving you all a quick recap of one such conference we attended -- Chicago AI Week.

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Related Episodes: Ep 236: NVIDIA GTC Recap – 3 ways NVIDIA is going to change the AI world
Ep 288: Big Tech’s Critics Have Gotten a Lot Wrong on AI

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Topics Covered in This Episode:
1. Innovation in Business and AI
2. Role and Importance of AI Experts
3. Ethical Considerations in AI Implementation
4. Trends in AI Startups and Public Companies
5. Chicago AI Week

Timestamps:
01:30 Study challenges traditional assessment, questions AI in academia.
05:17 Recapping Chicago AI Week, common trends
09:08 Unprecedented business innovation, US leading in safety.
13:37 Transition to AI native is vital. Industry expertise shines.
16:12 AI impacts on productivity, ethics, and jobs.
20:12 AI startups need to be cautious with value.
22:56 GPTs enable companies' similar capabilities.
26:32 Demand for generative AI generalists will grow.
27:52 Experts should understand basics of generative AI.
32:32 AI content detection is not real, period.
36:33 Engaging with content puts you in top 1%.

Keywords:
business innovation, safety, risk mitigation, generative AI, AI first company, AI native company, AI expertise, ethics in AI, reskilling, upskilling, AI job displacement, AI impact on workforce, public companies, AI investment, company mission and AI alignment, startups, value propositions, AI language models, prompt engineering, tokenization, context windows, transformers, AI generalists, international monetary fund, AI in academia, AI voice clone, AI content detection, AI startups, AI conference, livesteams

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AI implementation is tricky. If only there were some simple, easy to follow steps to understand it all. Oh wait... that's what we're going to be breaking down with Isar Metis, CEO of Multiplai.

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Related Episodes: Ep 126: Real Business Use Cases for AI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

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Topics Covered in This Episode:
1. Law of Continuously Improving Compromise
2. Importance of Prompt Engineering and AI Tool Testing
3. Scalability and Efficiency with AI
4. Application of AI in Business

Timestamps:
01:10 OpenAI delays voice mode, Anthropic introduces projects.
04:45 About Isar and Multiplai
06:51 Insights on AI for business growth summarized.
09:13 AI systems streamline customer service, benefitting companies.
12:51 Reconsider productivity and efficiency in age of AI.
16:18 AI tools enhance design and efficiency without coding.
20:23 Advocating for smaller language models in AI.
21:49 Great advice on data and optimization options.
27:32 Regularly use various image generation tools for testing.
28:16 Run up to 6 large models, compare use cases.
33:57 Companies should prioritize proper processes and quality.
36:50 Strategic and HR evaluations for AI impact.
37:37 Company committees prioritize, implement and evaluate solutions.

Keywords:
Isar Meitis, AI tools, presentations, graphic design, proprietary data, AI policy, improving compromise, adapting to new technology, implementing AI, prompt engineering, testing AI tools, scalability, marketing, sales, operational processes, service scale, home automation industry, bottlenecks, measurable wins, strategic evaluations, HR evaluations, AI community, leveraging AI podcast, everyday AI, 5 laws for success in AI era, OpenAI, ChatGPT, Multiply, customer service, transitioning professions to skills.

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Is there finally a (real) ChatGPT killer? Anthropic just released its newest model, Claude 3.5 Sonnet. And out of the gate, this thing is friggin powerful. It's outbenchmarking every other model and the new Artifacts feature is a legit game-changer. But, does it actually hold its weight against ChatGPT's new GPT-4o head-to-head? We put it to the test.

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Related Episodes: Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?

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Topics Covered in This Episode:
1. Overview of Anthropic Claude 3.5 Sonnet
2. Claude 3.5 Sonnet Artifacts Feature
3. Comparison of Claude 3.5 Sonnet to GPT-4o
4. Real World Examples and Use Cases

Timestamps:
03:00 Reviewing powerful Anthropic's model and its performance.
08:00 Anthropic touts 3.5 Sonnet's powerful new vision model.
10:58 Excited about new artifacts feature, free with limits.
16:31 Anthropic's artifacts revolutionize language model interface.
23:21 Usage limited to one chat window for efficiency.
27:46 Language models struggle with common problems.
36:26 Create solution for non-existent problem, market strategy.
39:52 Computer vision for food identification and organization.
46:44 Chad GPT more accurate than Claude.
48:13 Create game sales spreadsheet, visualize data graph. Upload.
54:39 Write newsletter in host's style from podcast transcript.
01:02:28 OpenAI may overshadow GPT-3 with new features.
01:05:15 Chat GPT excelled, handled large spreadsheet impressively.

Keywords:
Jordan Wilson, Everyday AI, podcast transcript, newsletter copy, AI tools, Anthropic, Chat GPT, Claude, artifacts feature, coding visualization, front end website design, OpenAI's GPT builder, real-time internet access, third-party API, dynamic data, Claude 35 Sonnet, GPT 4o, logic questions, 35 OPUS, GPT Next, handling large spreadsheet, logic quiz, river crossing problem, t-shirts drying question, airplane black box, joke generation, marketing ideas, company brainstorming, Quantum Haven, SleepSync Sphere, Neural Dwell, Mood Morph, computer vision, food items identification, nutritional information, Chicago skyline, chatbots, data analysis, top selling video games, interactive graph.

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NVIDIA became the world's most valuable company. Then they lost that title.
Why is ChatGPT no longer the king of the LLM hill?
Did you see Runway Gen-3?
We'll explain all of that in this week's AI News That Matters.
 
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Topics Covered in This Episode:
1. Competition in development of LLMs
2. NVIDIA's rise as the most valuable company.
3. OpenAI drama and partnership
4. Runway's new AI model

Timestamps:
02:05 Runway's Gen 3 Alpha promises faster AI video generation.
06:40 Claude 35 Sonnet AI chatbot offers innovation.
08:39 Benchmarks show Sonnet 3.5 ahead of GPT-4.
12:14 Live preview and rendering change language models.
15:16 NVIDIA shares slump, Microsoft regains top spot.
19:57 OpenAI and Color Health collaborate for cancer care.
21:22 OpenAI acquires Rockset to enhance enterprise products.
26:58 OpenAI accused of prioritizing product over safety.
29:12 Concern about AI safety and partnerships with OpenAI.
31:41 AI companies jostle for dominance in tech.

Keywords:
OpenAI, Meta, Anthropic, language models, Claude 3.5 SONNET, artifacts, NVIDIA, market cap, GPU chips, artificial intelligence, Hour 1, live AI clone, human interview, Jensen Huang, AI safety, SAFE Super Intelligence Inc., Ilya Sutskever, quad 3.5 Sonnet, Microsoft, Apple, Color Health, cancer research, RockSets, enterprise products, Runway, Gen 3 Alpha, AI video space, AI avatars.

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Jason Feifer says we should use AI to break things. Might sound abrupt. But it’s sound advice coming from one of the leading voices in entrepreneurship and business. So how can we use AI to break things? We give a step-by-step guide.

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Related Episodes:
Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI
Ep 216: How to stand out in a world filled with AI startups – Insights from Taplio CTO

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Timestamps:
01:30 About Jason and Entrepreneur Magazine
03:15 Break things that are already broken - what it means
09:20 Questioning familiar systems, seeking improvement through change.
11:18 AI tools streamline tasks, freeing time.
14:46 First interactions with AI
18:15 AI opportunities and caution in market focus.
20:23 Develop systems for desired outcomes, AI's role.
25:31 Belief in fixed work, worker ratio fallacy.
26:37 New technology leads to economic shifts and innovations.
30:46 Adapt to change for future job fulfillment.

Topics Covered in This Episode:
1. AI's Impact on Traditional Business Processes
2. Viewpoints on Business and AI
3. Future of AI in Business and Everyday Life
4. Jason Feifer's Stance on AI and its Potential for Transformation
5. Impact of AI on Media Industry

Keywords:
AI, Jordan Wilson, Jason Feifer, antiquated business processes, challenging systems, property managers, generative AI, newsletters, business growth, creative expression, DALL E, Fathom, AI in business, consumer problems, Gartner hype cycle, microwaves, tech layoffs, entrepreneurship in AI, Entrepreneur Magazine, Jason Pfeifer, law, academia, student learning, AI advice, Everyday AI newsletter, job losses, economic shifts, lump of labor fallacy, automation, fast food kiosks.

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Enter to win a FREE Custom Avatar from Hour One as part of their #HourOneChallenge - Go find out more here

How does AI go from 'cool business tool' to changing everything? It's not an overnight process. It takes intentional steps. Rehgan Bleile, CEO of AlignAI, walks us through those steps.

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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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Topics Covered in This Episode:
1. Current AI Trends
2. AI Implementation and Barriers
3. Security Concerns of AI Implementation
4. Applications of Generative AI

Timestamps:
01:35 Daily AI news
04:15 About Rehgan and AlignAI
08:33 Enhancing customer service with AI for industries.
12:48 Identifying core problems and solutions in industries.
15:14 Leveraging AI across company operations to improve.
18:52 AI governance and training critical for user adoption.
20:59 Reliance on systems requires comfort and oversight.
26:33 Create AI policies, buy point solutions. Ask vendors.
27:20 Implement AI strategy methodically and educate employees.

Keywords:
small AI models, open-source AI, AI policies, steering committee, AI implementation timeline, workforce transformation, risk mitigation, Jordan Wilson, generative AI, AI dependency, digital literacy, AI literacy, data privacy, data ownership, copyright IP protection, data storage, emerging AI trends, generative AI impact, AI measurement, AI internal usage, sales, marketing, Ilya Sutskever, Safe Superintelligence Inc, Accenture, cloud migration, Align AI, regulated environments, AI in customer service.

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Enter to win a FREE Custom Avatar from Hour One as part of their #HourOneChallenge - Go find out more here

Ready or not, AI avatars are here. (We're obviously ready.) Sure, AI avatars change how we can communicate. But, the impact doesn't stop there. Gen Ukaj from Hour One, a company pushing AI avatars forward, joins us to discuss the tech and its future.

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Related Episode: Ep 296: AI Clone Tries to Stump Human Counterpart Live on AI

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Topics Covered in This Episode:
1. AI Avatars and Digital Twins
2. Hour One and Virtual Human Technology
3. Human Interaction and Limitations of Bots
4. Special Applications of AI Avatars

Timestamps:
01:35 Daily AI news
04:35 About Gen and Hour One
06:24 Avatar derived from video games, personas explained.
09:50 Use AI to broaden audience with personalization.
12:45 Create diverse content easily using virtual clones.
17:05 AI meeting assistance transforming future communication technology.
18:50 Universe is business to business, potential for central bot.
21:35 Ethical concerns about advanced technology in AI.
25:59 AI avatars and robots in healthcare touchy.
28:00 Exploring AI's moral and ethical implications.

Keywords:
Jordan Wilson, AI avatars, digital twins, OpenAI, mayoral candidate, AI chatbot, responsible AI use, politics, Meta, FAIR Group, AI models, NVIDIA, market value, AI chips, Gen Ukaj, Hour 1, virtual human technology, digital clones, deep fakes, consensual creation, sponsorship, events visibility, AI technology in meetings, bot figure, ethical considerations, virtual clone, high-quality video production, sales communications, marketing content, training videos.

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For the first time ever....(As far as our research shows) This will be the first time an AI clone interviews its human counterpart live. Is my AI clone smarter than me? Will I crumble under the pressure?

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Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes

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Topics Covered in This Episode:
1. Potential Impact of AI on Careers
2. Leaders in AI Technology
3. Discussion on Global AI Innovation
4. Privacy and Security Concerns with AI
5. Creative Potential of AI
6. AI Integration into Society

Timestamps:
02:25 Daily AI news
07:55 OpenAI excels as business system, surpasses others.
12:15 Train AI, use tools, future of creativity.
16:00 Traditional web search outdated, replaced by alternatives.
16:40 Internet use becoming unbearable, predicts shift to AI.
21:49 Altman and Huang predict AGI within 5 years.
25:14 NVIDIA's rise to most valuable company predicted.
28:30 AI will automate and oversee business decisions.
32:27 Hour One offers AI avatar video technology.
36:18 Personal data privacy and security concerns with AI.
38:57 Companies need humans to weed out bias.
43:00 Flying cars may flop at first, but future potential.
44:35 AI technology may replace human work gradually

Keywords:
Jordan Wilson, AI technology, career disruption, Artificial General Intelligence, Artificial Superintelligence, NVIDIA, Amazon, AI digital avatar, generative AI, McDonald's, IBM, AI drive-through technology, Google DeepMind, v2a model, Runway Gen 3 Alpha, AI video creator, OpenAI, ChatGPT4O, AI integration into workforce, future of work, AI as co-workers or bosses, US AI innovation, China AI competition, Hour 1 communication technology, AI companionship industry, data privacy, AI bias and stereotypes, self-replicating AI, humanoid robots, AI in day-to-day life.

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Why Apple won't pay OpenAI. Find out the major AI feature Microsoft is delaying. The reason why Alexa's AI is so far behind. How Sora got beat by Luma Dream Machine. And more in this week's AI News That Matters!

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Related Episodes: Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Ep 278: Microsoft Build AI Recap – 5 things you need to know

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. OpenAI's Unique Partnership with Apple
2. Microsoft's Delayed Launch of Recall Feature
3. Luma AI's Dream Machine Model
4. Amazon's Alexa AI Development Challenges
5. Pope Francis Talks AI at G7

Timestamps:
03:00 Apple not paying OpenAI for partnership
07:34 Apple users get free access to GPT-4.
11:35 Microsoft's new Copilot Plus PCs recall feature delayed.
14:41 Enterprise companies likely won't refuse recall feature.
20:27 Comparison of AI video tools and platforms.
24:05 Alexa faces challenges in development and integration.
25:36 Pope warns of AI dangers to humanity.
28:59 S&P growth in 2023 driven by AI.
32:00 Jordan to be questioned by AI clone.

Keywords:
Jordan Wilson, Everyday AI, generative AI, Apple, OpenAI, partnership, ChatGPT, GPT-4, processing power, Microsoft, recall feature, privacy concerns, Luma AI, Dream Machine, text-to-video model, Sora, Cling, Luma Labs, AI video tool, school breaks, monster camp, AI image generators, Amazon, Alexa, Pope Francis, AI risks, AI regulation, Magnificent Seven, AI superpower, AI clone.

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Prompting a large language model requires a bunch of tech know-how right?

↳ Super structured inputs
↳ RAG
↳ Fine-tuning

Meh. Not so much. The best way to prompt your way to better results? Flex your domain expertise. Jared Zoneraich, Founder of PromptLayer, joins us to discuss.

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Related Episodes: Ep 164: ChatGPT Doesn’t Suck. Your Prompts Do.
Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed

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Topics Covered in This Episode:
1. Importance of prompt engineering
2. Role of non-technical domain experts
3. Evolving landscape of AI technology
4. Future concerns and preparations

Timestamps:
01:35 Daily AI news
04:32 About Jared and PromptLayer
07:19 Creating successful AI product hinges on expertise.
08:45 Simplifying AI development and retaining human input.
11:50 Small models vs big models: implications for AI.
17:10 LLMs elevate conversation and knowledge sharing.
21:12 Product success depends on voice and connection.
22:29 Rapid adaptation to new technology creates disparity.
27:02 Prepare AI models, modular approach, conversational application.
29:38 Key steps in maximizing AI model productivity.

Keywords:
Jordan Wilson, prompt engineering, machine learning, Pope Francis, ethical AI, G7 summit, AI regulation, General Paul Nakasone, OpenAI, cybersecurity, Microsoft, recall feature, privacy advocates, Jared Zoneraich, Prompt Lair, nontechnical domain experts, AI products, AI services, Cursor, Copilot, Hevia, ParentLab, Gorgias, communication skills, large language models, commoditization of knowledge, computational thinking, AI revolution, AI applications, human expertise in AI.

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When we think AI and jobs, we think displacement. Like... how many jobs might AI take from us humans? But what if we start flipping that script a bit. Why? If we leverage AI in the right ways, it can actually be a driver for local and regional economic development. Joining us to discuss is Xiaochen Zhang, the Chief Responsible AI Officer &. Executive Director AI 2030.
 
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Related Episodes: Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
Ep 224: AI and its Impact on Society – How it might look

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI in Local Economic Opportunities
2. Overcoming Challenges for AI Deployment in Cities
3. Specific Examples of AI Innovations
4. Impact of AI on Employment
5. AI Adoption Strategy in Business

Timestamps:
01:10 Daily AI news
03:50 About Xiaochen and AI 2030
06:07 AI will replace jobs, impacting security.
07:00 IMF report: 80 million jobs replaced, AI emergence
10:15 Utilize AI to enhance your business strategy.
15:03 AI's impact on oil industry is key.
17:46 engage externally, leadership enablement.
21:15 Leverage AI for collaborative industry models and growth.
26:04 Raise AI awareness, empower talent, innovate responsibly.

Keywords:
Chicago AI Week, AI innovation, community, collaboration, Everyday AI Show, AI newsletter, Jordan Wilson, Xiaochen Zhang, local economic opportunities, AI use cases, go-to-market strategy, AI branding, stakeholders, AI awareness, AI training, new economic opportunities, DeepMind, Harvard researchers, virtual rat, artificial brain, neuroscience research, Luma AI, Dream Machine, AI text to video tool, digital avatar, AI Steve, British parliament, AI 2030, job displacement, IMF reports

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AI: underhyped or overhyped? Have we fully realized the power of Generative AI and we're sitting at the top of the hype curve? Or, have we not even started to see and realize its potential? Jamal Khan, Head of Helix Center for Applied AI and Chief Growth and Innovation Officer Connection Inc, joins us to discuss. 
 
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Related Episodes: Ep 257: GenAI – Turning trash into treasures?
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI and its impact on different industries
2. Significance and implementation of generative AI
3. Strategies for successful AI adoption within organizations
4. Challenges of AI implementation in organizations

Timestamps:
01:15 French AI startup Mistral secures €600M funding.
04:15 About Jamal and Connection
07:09 Democratization of artificial intelligence through conversational access.
10:12 AI is evolving with diverse applications.
13:15 Addressing real vs hype, ROI, skillsets, budgets.
18:51 AI's challenge, trust's importance in web applications.
23:00 Visionary conversation led to ongoing cultural shift.
24:36 Cultural ethos, small wins, and employee support.
28:02 Creating open, familial culture for employee connection.
32:27 AI, like electricity, impacts industries, creates opportunities.
34:01 Jamal shared insightful knowledge, delivery tips included.

Keywords:
Generative AI, Jordan Wilson, AI technology, US AI restrictions, China, advanced chip technology, OpenAI, Elon Musk, lawsuit, Nonprofit mission, French AI startup, Mistral, Funding, Jamal Khan, Helix Center For Applied AI, Connection Inc., AI democratization, AI tangibility, AI hype cycle, AI implementation, AI resources, skill sets, everydayai.com, AI transition, AI adoption, Initial core group, Square root principle, Chat GPT, Trust in AI, AI transformation.

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Apple's trying real hard to make 'Apple Intelligence' more important than actual Artificial Intelligence. Why? Let's be honest - Apple got some things right when it comes to AI. But it probably got more things wrong.

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Related Episodes: Ep 286: Apple’s AI – Too little, too late?
EP 274: 7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about

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Topics Covered in This Episode:
1. Apple Intelligence and Its Offerings
2. New and Improved Siri
3. ChatGPT Integration with Apple's AI
4. Criticisms and Disappointments with Apple's AI
5. Predictions and Speculations with Apple AI

Timestamps:
01:40 Daily AI news
05:01 Apple rebrands AI as Apple Intelligence
07:36 Apple's track record suggests future success.
11:47 Apple's 3 billion parameter model is small.
13:50 App turns sketches into images, offers cleanup tools.
19:07 Talking less to devices, using on-screen awareness.
22:35 Market reacts to Apple's business strategy change.
25:42 OpenAI releases base model, with added features.
26:49 Edge AI uses personal data, then private cloud.
31:14 AI helps prioritize important notifications over others.
36:23 AI use for internet, productivity, missed opportunities.
37:21 Apple Intelligence may just be a wrapper.
40:32 Siri's missing temperature and selective improvement criticism.
44:43 Skeptical about Apple's new AI assistant.
47:03 Siri suggests using ChatGPT for some tasks.
52:28 NVIDIA important, Apple may decline in rank.

Keywords:
Apple criticism, lack of innovation, AI announcements, stock price, Siri capabilities, natural language processing, Apple Intelligence features, reliance on OpenAI, integration with ChatGPT, ChatGPT Plus, Apple AI model, Siri improvements, on-screen awareness, personal context, privacy and data security, GPT 4 model, WWDC, Apple Intelligence, Meta's data privacy concerns, Microsoft recall feature, Elon Musk, semantic media, on-device AI, cloud computing, image model and generation, actions, password app, tiers of AI models, JAX and XLA, Genmoji.

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This week could mark a turning point in the world of AI. Here's why:

↪ Stay tuned for Apple's groundbreaking GenAI revelations at WWDC 2024.
↪ Discover why Elon Musk redirected NVIDIA chips from Tesla to xAI.
↪ Find out how NVIDIA just made a historic leap past Apple.
↪ And don't miss the details on the new AI video generator that could dethrone Sora

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Related Episodes: Ep 286: Apple’s AI – Too little, too late?
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about

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Topics Covered in This Episode:
1. Apple's upcoming AI developments
2. NVIDIA mnarket cap
3. New AI text-to-video tool
4. Elon Musk reallocating NVIDIA AI chips
5. Cisco's $1 billion investment into AI
6. U.S. Antitrust Big Tech Investigation

Timestamps:
02:00 Elon Musk reallocates NVIDIA chips for supercomputer.
06:03 NVIDIA's market cap surged, stock split explained.
07:30 Nvidia's strong financials and plans for AI chip.
12:04 OpenAI restricted access, improving, making it safer.
14:42 Unverified video likely from new AI competitor.
18:01 Detailed observation of changing seasons and AI.
21:15 Concern regarding societal impacts of advanced AI.
25:15 DOJ to lead NVIDIA inquiry, FTC scrutinizes Microsoft.
28:29 NVIDIA CEO ahead in recognizing generative AI.
33:42 Apple fluctuates between utilizing own or OpenAI model.
37:03 Newer iPhones may have advanced AI features.
38:03 Siri can now interact with multiple apps.
41:25 Apple's announcement at WWDC is big.

Keywords:
Apple AI features, OpenAI GPT-4 technology, WWDC, generative AI, older iPhone models, partnership, Elon Musk, NVIDIA chips, Tesla, market cap, Kuaishou AI developments, federal regulators, Microsoft OpenAI, AI monopolistic practices, Cisco AI investment, NVIDIA partnership, daily AI newsletter, Soarer, Gigafactory of Compute, NVIDIA stock split, Rubin AI chip platform, advanced AI models misuse, disinformation in AI, Jordan Wilson, Sora and Cling AI models, anthropic cloud, Jensen Huang, Anthropic, kling, Sora.

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Tired of valuable content collecting dust? Videos. Recordings of meetings. Interviews. Those are all sources of valuable knowledge and a spring of evergreen content. But what are you doing with it all? Jason Chicola, the CEO of Rev, dishes some answers.

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Related Episodes: Ep 212: Your Voice + Your Context – How To Scale A Content Engine With AI
Ep 95: Creating an AI Content Strategy to Scale

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Large Language Models and Transcription Services
2. Optimization of Meetings and Communication with AI
3. Personalized AI and Work Efficiency
4. Future of AI Tools

Timestamps:
01:25 Daily AI news
04:05 About Jason and Rev
08:48 Open source audio transcription not effective, AI growth.
10:46 Technology replacing note-taking. Person-to-person connection important.
15:33 Using transcription to capture customer insights officially.
18:54 Rev to release Voicehub, a comprehensive conversation platform.
23:11 VoiceHub serves as a personalized AI tool.
25:41 Discussion on AI, jobs, upskilling, and reskilling.
28:09 Adapt to technology for higher-value work.
31:11 Quality meetings are crucial for human connection.
33:47 Experiment with AI tools to improve effectiveness.

Keywords:
Large language models, OpenAI, NVIDIA Canary, Whisper speech engine, automated transcription, speech-to-text technology, Rev transcription service, transcription industry growth, AI note-taking, AI summaries in meetings, improved productivity, investigation on AI industry, Humaine Pin, AI safety research, Jason Chicola, gig labor economy, automatic speech recognition, virtual meetings, Zoom fatigue, AI tools for productivity, customer insights, conversation summarization, storytelling via AI, VoiceHub platform, personalized AI, Evernote, technology and job evolution, balancing AI and personal interaction, quality over quantity in meetings, freelancing.

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Is there so much misinformation about AI that it's slowing the advancements in.... AI? How can we set the record straight on Artificial Intelligence, push fear-mongering aside, and ethically put it to use?  David Moschella joins us to discuss and find out.

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

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Topics Covered in This Episode:
1. Big Tech and AI misconceptions
2. AI products developments
3.  America's leadership in AI
4.  Job predictions and future of work
5. Significance of AI in daily life

Timestamps:
01:15 Daily AI news
04:20 About David and the Information Technology and Innovation Foundation
10:37 Technology doesn't eliminate jobs; AI won't either.
14:49 Insufficient information provided for summarization.
15:46 Comparison: Industrial vs. information revolution, vital needs.
18:59 Reliance on internet for work and backups.
23:35 AI impact on misinformation: Awareness, readiness, balance.
25:39 AI acceptance accelerates, reaching critical mass quickly.
31:06 Text critics miss key points about AI, technology.

Keywords:
AI news, Elon Musk, AI supercomputer, Memphis, Ashton Kutcher, OpenAI's SoRA, NVIDIA, Apple, market value, AI industry, misconceptions about AI, AI critics, societal challenges, AI benefits, AI development, generative AI, AI and jobs, AI and society, surveillance state, technological innovation, Everyday AI, free course, Chat GPT, PPP course, podpp.com, job predictions, job elimination due to AI, AI in physical tasks, road repair, automation, robotics, declining populations, generative AI, dependence on AI, AI deepfakes, misinformation, legal implications of AI.

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Clinical trials can sometimes take years and cost many of millions of dollars. Why is that? And how can AI help bring faster and better outcomes?  Saurabh Jain, Executive Chairman at TrialKey.ai,  joins us to discuss how we can harness AI for clinical trials.
 
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Related Episode: Ep 107: How AI Turns Clinical Trials into Medical Knowledge

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Topics Covered in This Episode:
1. State and Limitations of Traditional Clinical Trials
2. Role of Generative AI in Modern Drug Development
3. AI in Clinical Trials
4. Exploring ChatGPT in Clinical Trials

Timestamps:
01:30 Daily AI news
04:20 About Saurabh and TrialKey.ai
09:33 ChatGPT transforms unstructured data to structured.
10:43 Addressing hallucinations, incomplete datasets, and novel drugs.
15:16 Challenges in drug development and commercialization balancing.
18:30 Challenges of AI in research investment and focus.
24:15 Balancing AI and human ethics in medicine.
28:23 AI's potential in clinical trials, despite challenges.

Keywords:
Generative AI, clinical trials, advanced AI, drug discovery, Treatment Market, AI news, Elon Musk, NVIDIA GPU chips, Tesla, XAI, US Treasury, Janet Yellen, Saurabh Jain, Trial Key AI,Large language model, COVID-19, drug development, Jordan Wilson, AI simulations, drug market approval, FDA regulations, GPT technology, chat GPT, AI computer technology, pharmaceutical companies, machine learning, rare diseases, trial design, phase 3 trials, trial success prediction.

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Here's a lil secret. Apple's behind Microsoft. Like way behind. But, all reports are pointing to Apple announcing a HUGE partnership with OpenAI next week. Can OpenAI save Apple's AI future and help it compete with Microsoft? Or is it too little, too late?

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Related Episode: Ep 285: NVIDIA announces new AI chip, a new Siri powered by ChatGPT – AI News That Matters

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Topics Covered in This Episode:
1. Current State of AI in Apple
2. Apple's Approaching AI Announcement
3. Comparison of Apple with Its Competitors
4. Apple's Financial Situation and Market Position

Timestamps:
01:50 Daily AI news
05:40 Apple's upcoming WWDC event is highly anticipated.
11:01 User feels Apple devices are outdated, prefers AI.
17:22 Apple integrates natural language processing and device AI.
18:35 On-device and cloud AI combo, potential issues.
21:40 Apple's market dominance may be challenged soon.
27:28 Apple's cautious approach to AI implementation.
28:57 Microsoft's investment in OpenAI puts Apple at a disadvantage.
34:31 Reportedly, a cash-strapped company fails building AI.
36:04 Apple integrating ChatGPT in operating system.

Keywords:
Apple, AI integration, Siri, Safari, Photos, Notes, iMessage, on-device processing, cloud processing, smart recap tool, GPT-4.0, OpenAI, Microsoft, chat GPT, AI-powered apps, personal hardware space, Apple Vision Pro, Spotify, Project Gray Matter, generative AI, market share, WWDC, iOS 18, competitive position, financial performance, AI technology, innovation, operating system, desktop system, personal assistants.

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NVIDIA just announced a new AI chip. Are they SO far ahead that no one can catch them? Maybe. Because Microsoft, Meta, Google and others are teaming up against them. And there's even more OpenAI drama that you've gotta hear. Here's this week's AI News That Matters!

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Topics Covered in This Episode:
1. OpenAI and Apple Partnership
2. NVIDIA's new AI chip
3. Big Tech Forms UALink AI Chip Group
4. Eleven Labs text-to-sound AI
5. OpenAI Drama

Timestamps:
02:15 NVIDIA new AI chip
04:07 New Blackwell chip sees rapid successor unveiling.
10:28 AMD announces new AI chips for computing.
11:22 Eleven Labs releases new AI text-to-sound technology.
19:37 Apple engineers testing ChatGPT APIs with Siri.
21:14 Apple's partnership with OpenAI to enhance Siri.
27:19 OpenAI is ahead, Apple's smart choice, but marketing matters.
29:31 OpenAI board drama, firings, and re-hiring.
32:26 Apple's final partnership with OpenAI detailed.

Keywords:
OpenAI, Apple, GPT models, AI on device, Sam Altman, NVIDIA, AI chip, 11 Labs, text-to-speech, AI system training, AMD, Intel, chip interconnect technology, UALink Promoter Group, Siri, natural language processing, Microsoft, real-time translation, AI features, advanced chips, sound effects, content creators, game developers, film/TV studios, sound production industry, multitasking AI technology, Macs, iPhones, Ruben architecture, Verra processor

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When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow,  joins us to discuss how AI can enhance the legal landscape.

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Related Episode: Ep 140: How AI Will Transform The Business of Law

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Topics Covered in This Episode:
1. Use of generative AI in the legal system
2. Use of LLMs in the legal system
3. AI's impact on efficiency in the legal industry

Timestamps:
01:20 Daily AI news
04:35 About Evyatar and Darrow
06:16 Challenges accessing information for lawyers
09:27 AI efficiency movement is responsible for workload.
10:24 AI revolutionizing legal world for success.
16:51 Efficiency affects law firm's ability to bill.
21:30 Improving mental health in legal profession with agility.
26:55 Loss of online communities raises concerns about memory.
27:58 Law firms pursuing right to be remembered.

Keywords:
Generative AI, Legal System, Impact, Efficiency, AI News, Perplexity AI, Ultra Accelerator Link, NVIDIA, Apple, OpenAI, Siri, GPT Technology, Evyatar Ben Artzi, Darrow, Justice Intelligence Platform, Case Analysis, Herbicides, Pesticides, Cancer Rates, Large Language Models, ChatGPT, Right to be Remembered, Internet Deletion Practices, Fortune 500 Companies, Legal Industry, Billable Hours, Strategic Thinking, Legal Development, Mental Health, Multiverse in Law.

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Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.

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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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Topics Covered in This Episode:
1. Impact of Generative AI
2. Role of GenAI in World Wide Technology
3. AI Adoption for Business Leaders
4. Large Language Models and AI Impact
5. Challenges in the Generative AI Space
6. Organization Culture and AI Implementation

Timestamps:
01:30 About WWT and Jim Kavanaugh
06:59 Connecting with users for effective AI.
10:06 Advantage of working with NVIDIA for digital transformation.
13:10 Discussing techniques and client example.
18:35 CEOs implementing AI, seeking solutions.
20:46 Creating awareness, training, and leveraging technology efficiently.
25:27 AI increasingly important, impacts all industries' outcomes.
27:18 Use secure, personalized language models for efficiency.
32:32 Streamlining data access for engineers and sales.
35:42 CEOs need to prioritize technology and innovation.
37:02 NVIDIA is the game-changing leader.

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

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If you think you know scammers, just wait.
 
↳ Voice cloning will fool the best of us.
↳ Deepfakes are getting sophisticated.
↳ Once-scammy emails now sound real.
 
How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.
 
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Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
Ep 202: The Holy Grail of AI Mass Adoption – Governance

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Topics Covered in This Episode:
1. Sophistication of AI in Scams
2. Countermeasures to Combat AI Scams
3. Deepfakes and Their Increasing Prevalence

Timestamps:
01:20 Daily AI news
04:45 About Yuri and Aura
07:32 Growing impact of impersonation and trust hacking.
12:35 Consumer app with state-of-the-art protection.
13:48 New technology scans emails to protect users.
19:36 Need for awareness of sophisticated multi-platform scams.
20:33 Be cautious of potential multichannel scams
26:44 Scams are getting sophisticated, AI may worsen.
30:05 Different organizations need varying levels of security.
31:25 Deepfakes raise concerns about truth and trust.
34:47 It's hard to detect scam communication online.

Keywords:
AI Scams, Jordan Wilson, Yuri Dvoinos, Deepfakes, AI Technology, Verification System, Online Interactions, Cyberattacks, Business Security, Scam Detection, Communication Channel Verification, Language Models, AI impersonation, Small Business Scams, Scammer Automation, Aura, Message Protection Technology, Call Analysis, Email Scanning, Voice Synthesizer Technology, Multichannel Scams, 2FA, Cybersecurity Training, Digital Trust, Cybersecurity, Sophisticated Corporate Scams, OpenAI, NVIDIA, Aura Cybersecurity Company, Online Safety.

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Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.
 
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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

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Topics Covered in This Episode:
1. Elon Musk's statement and its implications
2. Future of work with AI advancements
3. AI's impact on human purpose and employment
4. Job displacement and AI investment over human employment

Timestamps:
01:40 Daily AI news
07:47 Exploring the implications of generative AI.
10:45 Concerns about AI impact on future jobs
13:20 Elon Musk's track record: genius or random?
17:57 Twitter's value drops 72% to $12.5B.
22:34 Elon Musk predicts 80% chance of job automation.
25:54 AI advancements may require universal basic income.
29:03 AI systems rapidly advancing, surpassing previous capabilities.
32:11 Bill Gates worries about AGI's misuse.
35:04 AI advancements foreshadowing future efficiency and capabilities.
39:42 Ultra-wealthy and disconnected elite shaping AI future.
43:32 AI will dominate future work, requiring adaptation.
46:19 US government may not understand future of work.

Keywords:
Elon Musk, AI, XAI, funding, chatbot, Grok, OpenAI, legal battle, Apple, Siri, integration, core apps, model, capabilities, safety, speculation, future, work, Tesla, market cap, value, investor sentiment, vision, promises, performance, Viva Tech, conference, robots, job market, society, purpose.

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

Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.

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Related Episodes:Ep 189: The One Biggest ROI of GenAI
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

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Topics Covered in This Episode:
1. AI in Business
2. Implementing AI
3. AI Guidelines and Guardrails
4. Practical Application of AI

Timestamps:
02:00 Daily AI news
06:20 Experienced in growing companies of all sizes
11:45 AI not fully implemented yet
19:13 Generative AI changing workforce dynamics, impact discussion.
21:32 Rapidly adapt to online business, seek guidance.
31:19 AI guardrails and guidelines
34:25 Companies overcomplicating generative AI, driven by peer pressure.
37:45 Focus on measurable impact in AI projects.
45:17 Leverage vendors and experts for AI education.
51:48 AI may replace jobs - plan for future.
54:48 Ethical AI implementation involves human and AI cooperation.
01:00:42 Culmination of extensive work to simplify generative AI.

Keywords:
AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach,  AI impact on work, Everyday AI Show

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Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all?  Oh.... that's what we're for.

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Related Episode:  Ep 204: Google Gemini Advanced – 7 things you need to know

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Topics Covered in This Episode:
1. Google's Updates and Announcements
2. Google AI Evaluations
3. Concerns Over Google's AI Development and Marketing

Timestamps:
01:30 Daily AI news
05:30 What was announced at Google's I/O
09:31 Microsoft and Google introduce AI for teams.
12:38 AI features not available for paid accounts.
16:12 Doubt Google's claims about their Gemini model.
19:26 Speaker live-drew with Pixel phone, discussed code.
22:24 Exciting city scene, impressive Vio and Astra.
24:44 Gems and GPTs changing interactions with language models.
29:26 Accessing advanced features requires technical know-how.
33:45 Concerns about availability and timing of Google's features.
36:14 Google CEO makes joke about overusing buzzwords.
41:06 Google Gems: A needed improvement for Google Gemini.
41:50 GPT 4 ranks 4th behind Windows Copilot.

Keywords:
Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.

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To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.

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Topics Covered in This Episode:
1. Microsoft Build Conference Key AI Features
2. Microsoft Copilot Updates
3. On-device AI and its future

Timestamps:
01:50 Startup Humane seeks sale amid product criticism.
09:00 Using Copilot increases latency and potential errors.
11:15 Copilot changing work with edge AI technology.
13:51 Cloud may be more secure than personal devices.
19:26 Recall technology may change required worker skills.
20:24 Semantic search understands context, improving productivity.
28:41 Impressive integration of GPT-4 in Copilot demo.
31:41 New Copilot technology changes how we work.
36:13 Customize and deploy AI agent to automate tasks.
38:08 Uncertainty ahead for enterprise companies, especially Apple.
46:09 Recap of 5 key announcements from build conference.

Keywords:
Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.

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Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.

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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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OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft?  Here's this week's AI News That Matters!

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Topics Covered in This Episode:
1. Key Partnerships and Deals in AI
2. Google's New AI Developments
3. Microsoft's Upcoming Developer Conference
4. Apple's Future AI Implementation

Timestamps:
02:00 Reddit partners with OpenAI for AI training, content.
04:28 Large companies lack transparency in model training.
06:58 Reddit becoming preferred search over Google, value in partnerships.
12:08 OpenAI announced GPT 4 o and new feature.
14:48 Google announced live smart assistance, leveraging AI.
18:19 Customize data/files, tap into APIs, virtual teammate.
21:06 Impressed by Google's new products and features.
26:33 Apple to use OpenAI for generative AI.
29:08 Speculation around AI safety, resignation raises questions.
32:22 Concerns about OpenAI employees leaving is significant.
34:20 Google and Microsoft announce AI developments, drama at OpenAI.

Keywords:
Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.

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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

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

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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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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: [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

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/

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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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: [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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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: [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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