Everyday AI Podcast – An AI and ChatGPT Podcast

To celebrate our 1 year anniversary, we're going to take a step back to where it all began with episode one and answer the hard-hitting question that no one wants to talk about when it comes to AI and job displacement. Will AI take our jobs? Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AI and jobsRelated Episodes:Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it mattersEP 1: Will AI Take Your Job?Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:00 Housekeeping items05:00 Will AI take your job?11:10 Generative AI advancing fast, concerns, hope remain.15:46 2/3 jobs exposed to AI, 300M at risk.23:26 False information spread by self-proclaimed influencers.26:36 Smart people build AI, youth teach, AI superior.36:26 Being creative involves processing past creativity for new ideas.40:03 Generative AI now affordable, powerful, and reliable.47:48 Facts presented: AI interest increasing in companies.51:09 AI not always linked to increased employment.58:14 OpenAI and Microsoft invest $100B in AI.59:33 Smart software automates tasks with specialized models.01:08:51 Workers are leaving big companies to start their own businesses due to AI.01:09:45 Generative AI reshapes business and products.01:16:40 Check out today's newsletter and enter giveaway.Topics Covered in This Episode:1. Current state of Artificial Intelligence 2. AI's impact on employment3. Future of AI and jobs4. The economics of AI5. Misconceptions surrounding AI and jobs6. AI in public and corporate view7. Preparing for AI integration and job transpositionsKeywords:Generative AI, AI affordability, AI accessibility, AI reliability, AI job impact, company layoffs, job automation, S&P 500, AI mentions in earnings calls, AI industry agents, OpenAI, Anthropic, Google, MetaLama, Cognition Labs, DeepMind, AI and knowledge work, domain-specific AI models, human intelligence and AI, AI democratization, AI exposure in jobs, AI impact on economy, AI and business survival, gig economy and AI, AI personalization, AI generalists, ongoing AI learning, AI giveaways, AI mentions in company earnings, AI expertise.

When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions. How do they do it?  And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies? Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and James questions on GenAI and recyclingRelated Episode:Ep 224: AI and its Impact on Society - How it might lookUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:50 About James and Lanzatech04:49 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 Lanzatech2. How generative AI helps recycling3. Use and benefits of AI within LanzaTech4. Potential of GenAI solving environmental problemsKeywords:Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.

Is this AI tool too good to be safe? Maybe.  We'll be taking a look at Microsoft's impressive VASA-1 deepfake cloning technology. We'll answer the important questions:↳ What is this technology? ↳ Why do we need it? ↳ Is it so good that it's dangerous? Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Microsoft VASA-1Related Episodes:Ep 211: OpenAI’s Sora – The larger impact that no one’s talking aboutEp 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu and moreUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 Daily AI news05:15 Is VASA-1 dangerous?09:12 Potential dangers of AI outweigh potential benefits.12:14 Voice inflection changes, impressive text to speech.15:29 Generative content creation: impressive, concerning, and exciting.18:54 Quickly scalable technology opens exciting possibilities but troubling.21:23 Real-time face swapping with surprising computing power.24:35 Realistic motion control, capturing human-like tendencies.29:26 Use digital avatars for efficient training purposes.30:16 Microsoft research paper VASA 1 creates human-like avatars.34:20 Discussing generative AI's potential benefits versus risks.Topics Covered in This Episode:1. Explanation of VASA-1's capabilities2. Concerns around Microsoft's VASA-13. Discussion on deepfakes4. Potential Risks and Ethical Considerations5. Potential Benefits and Positive Use CasesKeywords:Microsoft's VASA 1, deep fake model, Everyday AI, livestream podcast, AI news, Adobe, Photoshop, Google, DeepMind, Microsoft PHY 3 mini model, OpenAI's SoRUP, AI deepfakes, talking head images, Jordan Wilson, misinformation, disinformation, generative AI, AI's impact on jobs, lifelike talking faces, digital twin technology, AI avatar, AI-generated speech, Mona Lisa, Baidu's Emo, Synthesia, HeyGen, Hour 1, DID platform, training, personalized learning

Will Meta's Llama 3 take the LLM crown? Is Microsoft's VASA-1 so good that it's dangerous? What does the new Atlas model from Boston Dynamics mean for the intersection of AI and robotics? We'll catch you up on all of that and more, with this week's AI News that matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:20 New developments in Meta's llama.05:03 Try Llama 3, important updates, December 2023.08:30 Anthropic's models range from 8B to 400B parameters.12:43 Artificial intelligence creates hyperrealistic talking head videos.14:55 VESA 1 technology creates videos from one image and voice.19:19 Boston Dynamics introduces electric Atlas robot model.23:09 Next iPhone may partner with Google or OpenAI26:40 Instagram post hints at Caitlin Clark's success.Topics Covered in This Episode:1. Introduction of Meta Llama 32. Microsoft's Introduction of VASA 13. Miscellaneous AI and Tech NewsKeywords:Jordan Wilson, Meta, Llama 3, Microsoft, visa 1, chat GPT 5, Meta AI, open model, closed source models, OpenAI, Google, public use, Facebook, knowledge cutoff, download, fork, benchmarking, parameters, model, Mark Zuckerberg, CEO, Google Gemini, Anthropic's Quad 3 OPUS, VASA 1, AI framework, hyperrealistic talking faces, lip syncing, AI-based movie making, Atlas robot, TED Talks.

We've been doing this whole 'talk about AI every day' thing for about a year. So you decided (literally, in a poll) that you wanted to grab the metaphorical mic and flip the script. It's your turn to interview me on the first (and maybe last?) edition of Freestyle Friday: Ask Me Anything (about AI).  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 EpisodesEp 176: GenAI Catchup – What’s coming in 2024Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:25 Daily AI news06:52 Meta's large models outperform leading models.12:15 ChatGPT feature automatically commits information to memory.13:11 OpenAI struggles with sharing context window effectively.20:38 Uncertainty surrounding AI monetization and impact on SEO.23:56 Testing abilities of AI models compared to humans.36:33 Detecting text-based disinformation is more challenging.38:01 Struggling to keep up with industry changes.41:48 OpenAI and Meta update knowledge cutoff dates.48:10 Third-party tools lack necessary features for business.Topics Covered in This Episode:1. AI-related queries2. AI in business and startups3. Use of AI models4. Legal and ethical challenges in AIKeywords:AI, ChatGPT, cross chat memory, AI apps, third-party tools, everydayai.com, Freestyle Friday, large language models, Meta, Microsoft Copilot, AI acquisitions, data collection, AI chats, AI and disinformation, AI anxiety, AI startup market, Llama 3, open-source models, closed source models, MMLU system, Mistral, Cast Magic, Voila, AI in education, AI in sports, US military dogfight, NVIDIA, LAMA 3.

What the heck is a GPT and do I need one? The answer is yes. GPTs take ChatGPT to the next level, allowing you to create custom workflows for your needs. Whether you're a beginner or you've built a GPT or 5, this episode is for you. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on GPTsRelated Episodes:Ep 183: Turning GPTs Into Gold – Monetization Strategies and Practical ApplicationsEp 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:25 Daily AI news07:00 Basics of GPTs08:52 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 GPT48:59 Using GPT helps complete tasks efficiently.Topics Covered in This Episode:1. Custom GPTs: An Overview2. Utilization of GPTs in Everyday Tasks3. Creating Custom GPTs4. Monetization of GPTs in GPT Store5. GPTs in Action: Automating Work OperationsKeywords: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.

Let's agree on this: so many schools are dropping the ball on GenAI. So, what should schools be doing NOW to make sure they can benefit from an AI future? We find out with Darren Coxon, Founder of Coxon AI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Darren questions on AI in educationRelated Episodes:Ep 168: AI in Higher Education is Broken. How to Fix it.Ep 178: Teaching The Next Generation About AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 Daily AI news04:05 About Darren and Coxon AI07:57 Fear and misunderstanding of AI in education.10:52 AI alignment with school leaders crucial for success.15:59 AI in education example using Gemini and Claude.17:51 AI as learning support, teachers should improve.20:38 Schools under pressure to adopt AI strategies.24:29 Feeling like part of an experiment, teaching above.27:08 Kids learning DNA through friendly AI conversations.30:38 Start using it with younger non-exam students.Topics Covered in This Episode:1. AI as a Support Tool, Not a Replacement2. Schools and Their Relation to AI3. Integration of AI Into Curriculum and Teaching Approaches4. Slow Pace of Change in Education Systems5. Adopting AI in Low-Stakes Educational SituationsKeywords:AI in education, Darren Coxon, AI strategy in schools, artificial intelligence, engaging students, pedagogy, chatbots in education, cyberbullying, plagiarism, safeguarding, digital strategy in schools, human skills, critical thinking, creativity, education system change, generative AI, hyper-personalized learning, human-focused activities, everydayai.com newsletter, AI integration concerns, fear of AI, large language models, leadership alignment, AI misconceptions, future of education, AI fun, AI adoption, Microsoft & g42 partnership, AMD GPU chips, NVIDIA GPU chips.

Ready for a little LLM secret? Big tech companies are lying to us. They tell us their models are connected to the internet in real time. Are they really? Not really. We're doing an LLM breakdown, as we compare the internet connectivity of popular large language models like ChatGPT, Gemini, and Copilot. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on LLMsRelated Episodes:Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMsEp 204: Google Gemini Advanced – 7 things you need to knowUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:00 LLMs we are testing05:33 RAG importance in AI and internet connection.06:50 Browsing with Bing queries words in URL.13:04 Comparing AI accuracy15:40 Rating and evaluating ChatGPT and Copilot performance.19:34 Acknowledgement of Google's helpful search feature.26:14 Uploading files to ChatGPT.29:21 Unofficial language model results from Internet connection.31:14 Large language models being integrated everywhere.Topics Covered in This Episode:1. Testing Large Language Models2. Using Large Language Models in Business3. In-Depth Comparison of Different Language Models4. Implications for Future UseKeywords:ChatGPT, Google Gemini, Microsoft Copilot, large language models, internet information retrieval, web reading platforms, information interpretation, accuracy, business use, safeguards against inaccuracies, up-to-date information, real-time data, live testing, language model performance, Everyday AI, Jordan Wilson, market cap, largest US companies, podcast episodes description, language models comparison, browse with Bing feature, web reader GPT feature, outdated information, information veracity, data retrieval, PDF hidden information, artificial intelligence, integrated AI, internet connectivity, knowledge workers.

Will Google be (more?) relevant now with its AI announcements? Why did Adobe reportedly train its AI image model with.... AI images? And is OpenAI in trouble with YouTube? We've got those answers and more with our weekly AI News That Matters segment.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 204: Google Gemini Advanced – 7 things you need to knowEp 211: OpenAI’s Sora – The larger impact that no one’s talking aboutUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:30 Google's new AI features from Cloud Next.05:40 Google announces Google Vids and Gemini 1.5.08:23 OpenAI's recent firings and internal investigation.13:23 YouTube CEO warns against unauthorized use of content.16:28 Debates on copyright and AI-generated content.19:29 AI image generators raise copyright ownership concerns.21:45 Adobe under scrutiny for using copyrighted material.25:10 Adobe pays creators, future job security uncertain.Topics Covered in this Episode:1. Google's AI announcements2. OpenAI's data leak and staffing changes3. YouTube's CEO's concerns about OpenAI4.  Controversies around Adobe's AI image model, Firefly5. Adobe's incentives for AI training data collectionKeywords:Google AI, Adobe, OpenAI, data leak, AI news, generative AI, AI developments, AI tools, software, Google's new AI features, Google Workspace, AI podcast, Google Cloud Next Conference, Google Vids, AI video, AI image, Midjourney, Firefly, AI model garden, everyday AI, training AI models, copyright infringement, Neil Mohan, YouTube, artificial intelligence, ChatGPT, YouTube's terms of service, AI transparency, Sora model, AI ethics.

Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about small language modelsRelated Episodes:Ep 204: Google Gemini Advanced – 7 things you need to knowEp 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:40 Exploring small language models vs large models.03:42 Definition of small language models is changing.08:49 Small language models are for specific purposes.11:55 Small language models are faster and local.14:45 Tim Cook announces new language model for devices.21:25 2024 shift to smaller, focused language models.27:56 RAG: Combining data, small language models' future.28:52 Concern for large language models, potential for small models.Topics Covered in This Episode:1. Introduction to Language Models2. Advantages and Usage of Small Language Models3. Comparison of Small and Large Language Models4. Future of Small Language ModelsKeywords:Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation

ChatGPT is still the biggest and best AI chatbot in 2024. Yet so many people are still confused about the difference in modes. So, we're gonna tackle one of the biggest questions we get - what's the difference between the free version of ChatGPT and the paid version of ChatGPT Plus?  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTRelated Episodes:Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:15 Daily AI news07:15 New updates with GPT-4 Turbo13:18 ChatGPT still limited, information may be incomplete.16:19 Paid account gets 40 messages every 3 hours.17:18 Updated free 3.5 model faster, but still slow.22:21 Efficiently complete multiple tasks within one chat.24:57 Utilize ChatGPT for automating knowledge work.28:26 Integration with Bing allows direct web connectivity.33:27 Update: ChatGPT available without account.38:02 Advantages of ChatGPT Plus41:46 Copilot Pro enhances Microsoft 365 functionality for users.42:46 Microsoft-centric tool, except for Teams integration.48:57 GPT4 benchmarks old, still better than others.51:42 PDF or GPT upload varies by performance.54:31 ChatGPT upcoming features56:25 Paid and free user input improves ChatGPT.Topics Covered in This Episode:1. Recent ChatGPT Updates2. Free ChatGPT vs ChatGPT Plus3. Limitations of Free ChatGPT4.  Advanced Features of ChatGPT Plus5. ChatGPT Plus vs Other Platforms6. Speculations about Future Versions of ChatGPTKeywords:OpenAI, ChatGPT technology, GPT technology, free version of ChatGPT, paid version of ChatGPT, GPT-4 Turbo, UDO AI music generator, Suno, Amazon generative AI, Andy Jassy, Google Cloud event, enterprise AI models, AI integration in Google Meet, memory recall of ChatGPT, GPT tokens, custom GPTs, confidential documents, knowledge cut-off, ChatGPT 4 Turbo, large language models, integrations in ChatGPT, data analysis, code interpreter, OCR, DALL E image generator, Microsoft Copilot, Perplexity, beta features in ChatGPT

How should you view Artificial Intelligence? Can it be your new best friend, helping you with every task of your day? Or, could it be a legit nightmare and tech terror? Sheetal Rishi, AI Transformation Leader, joins us to help you understand the steps to take to make sure that Generative AI is more friend than foe.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Sheetal questions on AIRelated Episodes:Ep 224:  AI and its Impact on Society: How it might lookEp 206: There is No AI Hype – This is how the world works nowUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 Daily AI news05:00 About Sheetal Rishi09:24 AI adoption growing, democratization of technology capabilities.12:26 Technology can generate answers from various sources.14:28 AI infrastructure costs have decreased significantly.19:16 Use machine for tasks, elevate your value.22:57 Enterprises seek change, face resistance and innovation.26:24 Emphasize enterprise-approved technology for faster data access.27:53 AI must be embraced strategically to benefit.Topics Covered in This Episode:1. Evolution and democratization of AI technology2. AI in the Corporate Sector3. AI in Education and Skills4. AI Integration in Daily Life5. AI's Disruptive InfluenceKeywords:AI technology, evolution of AI, democratization of AI, electricity impact, individual AI adoption, enterprise AI adoption, data literacy, barriers to AI implementation, conversational systems, AI infrastructure cost, business transformation, Watson's AI success, AI potential threat, corporate challenges, GitHub Copilot, Power BI, Google's features, innovation in enterprise, enterprise education, job security, human and AI coexistence, change management, generative AI, legacy enterprises, fusion strategy, Tesla, artificial intelligence, machine learning, deep learning.

Whether you're browsing social media or searching the web, there's so much bad advice out there about ChatGPT. We're cutting down the rumors about what ChatGPT is and how to use it. Here's a beginner's guide on knowing who to trust around Large Language Models. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on ChatGPTRelated Episodes:Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024Ep 109: LLM Showdown – ChatGPT, Bing Chat, Google Bard, Claude 2 and PerplexityUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:00 Daily AI news05:45 Lots of bad info around ChatGPT08:00 Comparing Copilot and ChatGPT as similar11:45 ChatGPT generates diverse outputs from similar inputs13:40 Comparison of human and ChatGPT writing styles17:08 Stop sharing incorrect GPT technology usage screenshots22:40 trained AI outperformed human.27:35 Ignore exaggerated prompts, focus on authentic communication.32:26 Words analyzed by OpenAI's tokenizer.35:29 Free ChatGPT like landline, GPT4 like smartphone.36:29 Zapier enables custom GPT, data integration, workflow.Topics Covered in This Episode:1. Overview of ChatGPT2. Misconceptions around ChatGPT3. Usage of Generic Business Prompts4. Superiority of Large Language Models5. Risks of Sole Reliance on Tools like ChatGPT with BingKeywords:Chat GPT, ChatGPT Plus, GPT4, generative AI, large language models, NVIDIA GeForce RTX GPU, Free daily newsletter, outdated data, Bing, Jordan Wilson, Nike slogan writer, ChatGPT with Bing, SEO manipulation, Everyday AI podcast, GPU giveaway, US government semiconductor investment, copywriting, AI applications, custom-built ARM processor, Axion, Google Workspace, prime prompt polish chat GPT course, Lewis testimonial, business prompts, misleading information, refining large language model, tokenization of words, refine queue, zero-shot prompting, career growth.

Is Google really going to charge money for AI search? Will job loss be so bad that we'll need to be saved by....big tech? And is AI music actually so good that the world's biggest musicians are worried? We'll be talking about that and more on Everyday AI's news that matters for the week of April 8, 2024.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?Ep 207: AI Will Allow Us All to Make Music We EnjoyUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:50 Google introducing AI search with new ad formats.07:51 Startup seeks funding for integrating AI into devices.11:54 Claude's new tool will change global usage.15:09 Musicians and authors unite against AI threats.18:59 OpenAI, copyright, and lawsuits in tech companies.22:12 Major tech companies form AI workforce consortium.28:02 AI transformative, impacting workforce; JPMorgan embraces evolution.30:10 Companies shifting stance to embrace generative AI.Topics Covered in This Episode:1. Google's proposed idea of charging for AI-based search.2. AI in the Music and Writing Industries4. Big tech companies forming a consortium targeting job loss due to AI.3. JPMorgan Chase’s new position on generative AI.Keywords:Jordan Wilson, Ken, large language models, VC money, Anthropic AI, Claude AI models, Opus model, AI music generation tools, Billie Eilish, Nicki Minaj, Katy Perry, James Patterson, Suzanne Collins, AI news, Google, AI-based search, search generative experience, Jony Ive, Sam Altman, OpenAI, JPMorgan Chase, generative AI, ChatGPT, tech industry, Spotify, Apple Podcasts, copyright law, lawsuit, Adobe, tech layoffs.

If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Shruti questions on GenAI and AWSRelated Episodes:Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for BusinessesEp 232: Creating and Capturing Business Value with GenAI – Insights From HPEUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 About Shruti Koparkar and AWS02:50 More on AWS and Generative AI09:54 X-rated computing used to fine-tune models. 12:46 Adobe focused on AI tools, using AWS.17:50 AI evolution and AWS preparedness for influx.21:01 Experienced ARM engineer excited about NVIDIA's potential.24:08 Identify use cases for small-scale applications.Topics Covered in This Episode:1. AWS and its Role in Generative AI2. AWS and Foundation Models2. AWS's Involvement with Companies Implementing Generative AI4. Future Preparations of AWS for Generative AI DevelopmentsKeywords:generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing

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.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageLearn more in today's newsletterJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 189: The One Biggest ROI of GenAIEp 197: 5 Simple Steps to Start Using GenAI at Your Business TodayUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:30 Daily AI news07:17 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 transcription33:57 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 AI2. Tips for saving time using AI3. Summarizing web pages for quick updates4. Organizing and training ChatGPT for specific tasksKeywords: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.

An underutilized superpower of generative AI? The way it can completely change how research is done. So how is AI impacting academic and scientific research and what tools are out there to help? Avi Staiman, Founder of sciwriter.ai, joins us to discuss AI tools to supercharge your research. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageLearn more in today's newsletterJoin the discussion: Ask Jordan and Avi questions on AI and researchRelated Episodes:Ep 89: AI’s Role in Responsible ResearchEp 121: Faster and More Accurate Results From ChatGPT with ScholarAIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 Daily AI news05:16 Simplify writing process for academic researchers with AI.07:36 Democratization of science and skepticism in society.10:33 ChatGPT has diverse data sources, impacts reliability.18:36 AI researchers responsible for high standard, education.19:32 Using AI in research22:37 AI tools improving accessibility and accuracy.27:30 Explore pain points, offer AI research tools.31:17 Questioning scientific studies, AI's importance emphasized.35:05 Encourage critical thinking when using AI tools.37:18 AI can enhance research and understanding information.Topics Covered in This Episode:1. Importance of Research Accessibility and Transparency2. Utilizing AI Tools in Research and Writing3.  Integrity and Reliability of AI-Generated Content4. Responsible Use of AI and Source Attribution5. Problems of AI-generated Content in ResearchKeywords:skepticism around science, accessibility in research, transparency in research, AI tools, democratization of research, research integrity, research reliability, research fraud, misuse of AI tools, scientific literature, attribution in research, Jordan Wilson, ChatGPT, Sykespace, Illicit, Sciwriter, academic writing, AI Tool Up Tuesdays, curated content, Everyday AI, academic research, CodeRepair, Stable Audio 2.0, peer-reviewed journal article, publish or perish pressure, Consensus Scholar AI, Perplexity, Proofig, Image Twin.

Is your company banning AI? If so, they should prepare to shut down. When ChatGPT started the GenAI wave about 18 months ago, so many companies, enterprises, and universities made brash decisions. Instead of understanding it and using it to grow, they banned it. Here's why that's wrong.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageLearn more in today's newsletterJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayEp 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 EpisodesUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:30 Daily AI news07:40 Banning AI? Company will fail.11:18 Banning generative AI is like banning the Internet.14:53 Companies followed JPMorgan in banning generative AI.18:12 Need to embrace generative AI, prioritize security.21:28 Trust employees with internet, extend trust to AI.24:23 85% boost in productivity, embrace data security.30:51 Industry giants will be overtaken by younger competitors.Topics Covered in This Episode:1. Consequences of Banning Generative AI2. Importance of Adapting to New Technologies3. Generative AI and Data Security4. AI Legal Implications and Regulatory Compliance5. Productivity Benefits and Risks of AIKeywords:Everyday AI, consequences of banning generative AI, failure of companies, industry concerns, sensitive data concerns, innovation, Blockbuster, Blackberry, Sears, technological changes, AI implementation, AI strategy, fear of generative AI, embrace generative AI, data security measures, cloud storage, email, misinformation, intellectual property issues, legal implications, regulatory compliance, productivity benefits, adaptation, VHS and DVD companies, online shopping, bankruptcy, Cisco Data Privacy Benchmark Study, restriction on generative AI, ChatGPT.

Have you seen the latest Apple rumors regarding AI? What does the $100-billion Stargate partnership between Microsoft and OpenAI actually mean? And will NVIDIA's competitors be able to catch them after forming the UXL Foundation? Here's this week's AI news that matters!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageLearn more in today's newsletterJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 201: Apple Vision Pro – The AI-powered product that (hardly) no one needsEp 236: NVIDIA GTC Recap – 3 ways NVIDIA is going to change the AI worldUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:15 Apple to reveal AI strategy at WWDC.04:45 Apple likely partnering with OpenAI or Google.09:54 Stargate to host powerful AI chips, meeting demand.12:56 Big investment in AI chips and infrastructure.19:45 Partners granted early access to OpenAI's voice engine.26:21 NVIDIA's rapid growth and innovation.27:03 NVIDIA's new chip outperforms competition, unites rivals.Topics Covered in This Episode:1. Apple's AI strategy 2. Microsoft and OpenAI's AI Supercomputer Project3. OpenAI's New Voice Engine4. Collaboration between tech giants to counter NVIDIA.Keywords:OpenAI, Voice Engine, clone voices, privacy implications, misuse of AI voice technology, US government, AI regulation, bans on AI voice cloned robocalls, Intel, Google, ARM, Qualcomm, Samsung, Unified Acceleration Foundation (UXL), NVIDIA, AI market domination, proprietary tech, hopper chip, Blackwell chip, super team, 2013 Miami Heat, Jordan Wilson, generative AI, Apple AI strategy, Siri, Apple's Iwork apps, AI supercomputer, Stargate, $100 billion project, Microsoft

How will AI change the way we shop online? Whether you own an e-commerce business or not, AI is changing the entire online shopping experience and will have an effect on all of us. Jo Lambadjieva, Founder of Amazing Wave, joins us to discuss how AI is impacting e-commerce. Awesome Stuff From Our Partner, NVIDIA -Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageLearn More in today's newsletterJoin the discussion: Ask Jordan and Jo questions on AI and e-commerceRelated Episodes:Ep 82: Using AI To Grow Your E-commerce PresenceUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:50 Daily AI news05:00 About Jo and Amazing Wave07:37 AI's impact on e-commerce10:35 AI changes consumer behavior in searching/browsing14:10 Amazon Rufus and user experiences.19:42 AI enhances business productivity and product development.22:39 AI revolutionizes e-commerce through customer persona understanding.25:16 AI-generated content may erode customer confidence.29:15 Prepare for major changes in online shopping.30:44 AI impact on email and e-commerce discussedTopics Covered in This Episode:1. Current State of AI in E-commerce2. Democratization of E-commerce3. Behavioral changes of customers due to AI4. Importance of Customer Persona in AI5. Future Predictions of AI in E-commerceKeywords:AI in e-commerce, Jo Lambadjieva, e-commerce automation, customizing customer experience, e-commerce sellers, content targeting, democratization of e-commerce, AI backlash, optimizing processes, Amazon stores, data analysis, process automation, ChatGPT, Zapier integrations, customer journey, Amazon AI, PPP course, ChatGPT course, e-commerce professional, online consumer behavior, Google's search generative experience, Amazon's chatbot Rufus, online shopping behaviors, AI news, AI chatbot Grok, AI startup Anthropic, White House AI guidelines, AI's impact on e-commerce, human touch in AI use, AI-generated content.