Everyday AI Podcast – An AI and ChatGPT Podcast

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Jamal questions on AIRelated Episodes: Ep 257: GenAI – Turning trash into treasures?Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPEUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. AI and its impact on different industries2. Significance and implementation of generative AI3. Strategies for successful AI adoption within organizations4. Challenges of AI implementation in organizationsTimestamps:01:15 French AI startup Mistral secures €600M funding.04:15 About Jamal and Connection07:09 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, ChaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Apple's AIRelated 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 aboutUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Apple Intelligence and Its Offerings2. New and Improved Siri3. ChatGPT Integration with Apple's AI4. Criticisms and Disappointments with Apple's AI5. Predictions and Speculations with Apple AITimestamps:01:40 Daily AI news05:01 Apple rebrands AI as Apple Intelligence07:36 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 coSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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 SoraNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes: Ep 286: Apple’s AI – Too little, too late?Ep 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: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Apple's upcoming AI developments2. NVIDIA mnarket cap3. New AI text-to-video tool4. Elon Musk reallocating NVIDIA AI chips5. Cisco's $1 billion investment into AI6. U.S. Antitrust Big Tech InvestigationTimestamps: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, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Jason questions on AI and contentRelated Episodes: Ep 212: Your Voice + Your Context – How To Scale A Content Engine With AIEp 95: Creating an AI Content Strategy to ScaleUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Large Language Models and Transcription Services2. Optimization of Meetings and Communication with AI3. Personalized AI and Work Efficiency4. Future of AI ToolsTimestamps:01:25 Daily AI news04:05 About Jason and Rev08:48 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,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and David questions on AIRelated Episodes: Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for BusinessesEp 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: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Big Tech and AI misconceptions2. AI products developments3. America's leadership in AI4. Job predictions and future of work5. Significance of AI in daily lifeTimestamps:01:15 Daily AI news04:20 About David and the Information Technology and Innovation Foundation10:37 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Saurabh questions on AI in clinical trialsRelated Episode: Ep 107: How AI Turns Clinical Trials into Medical KnowledgeUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. State and Limitations of Traditional Clinical Trials2. Role of Generative AI in Modern Drug Development3. AI in Clinical Trials4. Exploring ChatGPT in Clinical TrialsTimestamps:01:30 Daily AI news04:20 About Saurabh and TrialKey.ai09:33 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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? Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Apple's AIRelated Episode: Ep 285: NVIDIA announces new AI chip, a new Siri powered by ChatGPT – AI News That MattersUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Current State of AI in Apple2. Apple's Approaching AI Announcement3. Comparison of Apple with Its Competitors4. Apple's Financial Situation and Market PositionTimestamps:01:50 Daily AI news05:40 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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!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: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI and Apple Partnership2. NVIDIA's new AI chip3. Big Tech Forms UALink AI Chip Group4. Eleven Labs text-to-sound AI5. OpenAI DramaTimestamps:02:15 NVIDIA new AI chip04:07 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 processorSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Evyatar questions on AI in the justice systemRelated Episode: Ep 140: How AI Will Transform The Business of LawUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Use of generative AI in the legal system 2. Use of LLMs in the legal system3. AI's impact on efficiency in the legal industryTimestamps:01:20 Daily AI news04:35 About Evyatar and Darrow06:16 Challenges accessing information for lawyers09:27 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Jim questions on GenAIRelated Episodes:Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayEp 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big WinsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Impact of Generative AI2. Role of GenAI in World Wide Technology3. AI Adoption for Business Leaders4. Large Language Models and AI Impact5. Challenges in the Generative AI Space6. Organization Culture and AI ImplementationTimestamps:01:30 About WWT and Jim Kavanaugh06:59 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 processSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan and Yuri questions on AI and scam detectionRelated Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged SwordEp 202: The Holy Grail of AI Mass Adoption – GovernanceUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Sophistication of AI in Scams2. Countermeasures to Combat AI Scams3. Deepfakes and Their Increasing PrevalenceTimestamps:01:20 Daily AI news04:45 About Yuri and Aura07:32 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 scams26:44 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan questions on AI and jobsRelated 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 mattersUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Elon Musk's statement and its implications2. Future of work with AI advancements3. AI's impact on human purpose and employment4. Job displacement and AI investment over human employmentTimestamps:01:40 Daily AI news07:47 Exploring the implications of generative AI.10:45 Concerns about AI impact on future jobs13:20 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 189: The One Biggest ROI of GenAI Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for BusinessesUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. AI in Business2. Implementing AI3. AI Guidelines and Guardrails4. Practical Application of AITimestamps:02:00 Daily AI news06:20 Experienced in growing companies of all sizes11:45 AI not fully implemented yet19:13 Generative AI changing workforce dynamics, impact discussion.21:32 Rapidly adapt to online business, seek guidance.31:19 AI guardrails and guidelines34:25 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 ShowSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Google AIRelated Episode: Ep 204: Google Gemini Advanced – 7 things you need to knowUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Google's Updates and Announcements2. Google AI Evaluations3. Concerns Over Google's AI Development and MarketingTimestamps:01:30 Daily AI news05:30 What was announced at Google's I/O09:31 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Microsoft AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Microsoft Build Conference Key AI Features 2. Microsoft Copilot Updates3. On-device AI and its futureTimestamps: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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan and Nathan questions on AI and nonprofitsRelated Episodes:Ep 105: AI in Fundraising – Building Trust with StakeholdersEp 148: Safer AI – Why we all need ethical AI tools we can trustUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:01:50 About Nathan and DonorSearch AI05:52 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 Nonprofits2. Digital Divide in Nonprofit Sector3. Role of Trust in Nonprofits and responsible AI usage4. Traditional Fundraising vs. generative AI5. Future of AI in NonprofitsKeywords: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 toSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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!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: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Key Partnerships and Deals in AI2. Google's New AI Developments3. Microsoft's Upcoming Developer Conference4. Apple's Future AI ImplementationTimestamps: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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Barak questions on ChatGPTRelated Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayEp 246: No that’s not how ChatGPT works. A guide on who to trust around LLMsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Large Language Models (LLMs) and Business Competitiveness2. Understanding LLMs for Small to Medium-Sized Businesses3. Use Cases and Misconceptions of AI4. Data Security and PrivacyTimestamps:01:35 About Barak and Cisco05:44 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 dimensions18:16 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Win a free year of ChatGPT or other prizes! Find out out.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 Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about GPT-4O on LinkedInRelated Episodes: OpenAI Releases GPT-4o: 12 things you need to knowEp 272: How OpenAI’s Shot at Google (and GPT-4o model) Will Change How We All WorkTopics Covered in This Episode:1. Changes in OpenAI's language models2. Interaction with ChatGPT and Browse with Bing3. Detailed analysis of OpenAI's GPT-4.0 model4. Announcement and analysis of OpenAI's GPT 4 o5. Potential developments for ChatGPT Plus6. Discussion of AI influencers and misinformation on the internet7. Close-up on specific features of GPT 4.0 and device restrictionsTimestamps: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 robSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Kimberly questions on AI and product managementRelated Episodes: Ep 161: Product Strategy in the Age of AIEp 104: Product Management and AI – Insights from a Microsoft Product ManagerUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Role of AI in Product Management2. Use of AI in Communication and Influence3. AI and Customer Feedback in Product Management4. Future of Product ManagementTimestamps:01:25 Daily AI news04:45 About Kimberly and her role at Microsoft08:54 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 roaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on GPT-4oRelated Episodes: OpenAI Releases GPT-4o: 12 things you need to knowUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Future impacts of GPT-4o2. OpenAI, Microsoft and Apple Collaboration3. Live demonstrations of GPT-4o4. OpenAI's strategic releases5. New Features and Plans for GPT-4oTimestamps:01:45 Daily AI news06:12 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 modelSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on GPT-4oUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI announces GPT-4o model2. Key Features of GPT-4o3. GPT-4o Rollout Plan4. What GPT-4o means for GoogleTimestamps:01:50 New GPT-4o model is Omni modal03:52 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 plan21:47 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIWatch the OpenAI livestream here: https://www.youtube.com/watch?v=DQacCB9tDawRelated 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: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. AI advancement in music creation2. Predictions from Eric Schmidt, the former CEO of Google3. Google's evolution towards user-friendly search approach4. Apple's negotiations with OpenAI5. OpenAI's upcoming release and speculationsTimestamps: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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

If you think content writing is the only way to use AI for SEO, think again. That's just the beginning. AI is changing SEO as we know it. We have SEO expert Steve Toth give us the scoop on how to *actually* leverage AI for SEO that's more than just vanilla blog posts.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Steve questions on AI and SEORelated Episodes:Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?Ep 137: Writers and Content Creators’ Future Role in a World of AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Utilizing AI for SEO beyond content writing2. Human-written content with AI enhancements for SEO3. Role of Google in content quality control4. Pros and cons of AI content5. Practical applications of AI in content creationTimestamps: 01:20 Daily AI news04:14 About Steve and SEO Notebook05:45 Ways to leverage AI for SEO08:14 Hybrid AI content okay, mass AI content dangerous.11:58 Links from authoritative sites boost website credibility.15:30 Human input essential in Google's data analysis.19:16 Predicting SEO's future, Google controls web traffic.21:57 AI prefers comprehensive, well-researched content with links.26:35 Tips on improving call to action with AI.28:48 Use AI to enhance and polish your content.Keywords:SEO, Steve Toth, AI tools for SEO, open API, Python, Google.com, keyword research, auto suggest results, related searches, People Also Ask, call to action, AI content enhancement, topics for comprehensive guide, Jordan Wilson, free daily newsletter, everydayai.com, prime prompt polish chat GPT course, podpp.com, unpredictability of SEO, Google's control over web traffic, AI-generated content, B2B SaaS content, Google's SGE, OpenAI partnership deals, Reddit, Stack Overflow, organic web traffic, SERPs, SEO Notebook, FreshBooksSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

AI + all your data = good move or bad move? Sure, AI can do data crunching wonders when we pair the two together. But, what challenges and conflicts should we be aware of before doing so? Aakash Indurkhya, Head of Product at Virtualitics, joins us to discuss AI and data analysis.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Aakash questions on AI and dataRelated Episodes:Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our worldEp 142: AI is Changing Data Analysis: Insider TipsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Generative AI Technology and Data Visualization 2. Role of AI in Data Analysis3. Statistics Paradox and Data Collection Challenges4. Importance of Hands-On Experience and CollaborationTimestamps:01:30 Daily AI news04:30 About Aakash and Virtualitics08:51 Stress of data utilization despite its value.10:39 Data layers may disagree, causing decision paralysis.15:33 Generative AI aids human-driven data analytics.17:38 RAG concept crucial for tracing data decisions.24:06 Beginning data analysis requires tools, exploration, openness.26:43 Future of jobs with technology, data and humans.29:21 Communicate with experts for effective problem-solving.Keywords:data in the age of generative AI, large language models, OpenAI model spec, Google DeepMind AlphaFold 3, protein behavior prediction, Zapier Central, AI bots without coding, Virtualisix, data-driven decisions, industry-specific decision intelligence, data abundance paradox, ChatGPT technology, changes in data collection, Apple, Google, maintenance data for HVAC systems, human role in data analysis, industry-specific expertise, generative AI in data visualization, RAG technology, conversational interfaces in generative AI, sensitive data handling, GPT language models, Virtualitix AI platform, decision intelligence apps, data-driven decision paradox, decision congestion, common language in data analysis, data quality, decision socializSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Will GenAI be an economic boom? Or cause economic doom? Or maybe something in between? Gad Levanon, Chief Economist at The Burning Glass Institute, joins us to discuss generative AI's impact on the U.S. labor market.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Gad questions on GenAI and the U.S. labor marketRelated 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 mattersUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. AI's current impact on jobs2. Generative AI and higher education3. Skills demand related to generative AI4. Future for workers and generative AI5. Generative AI and retirementTimestamps:01:30 Daily AI news04:15 About Gad and The Burning Glass Institute08:09 Automation and technology impacting labor market trends.12:13 Generative AI impact on job ads analyzed.17:27 Employers need specific AI skills for reskilling.21:28 Concern around AI skills and education needs.25:06 Generative AI benefits seen in future stock market.29:37 Generative AI skills essential for future success.Keywords:Generative AI, Gad Levanon, AI engines, chatbot infrastructure, computing power, cybersecurity, cloud computing, outsourcing, US colleges, universities, higher education, short-term credentials, computer-related fields, economic shock, stock market, US economy, baby boomers, retirement, layoffs, reskilling, future job market, knowledge worker, US workers, US companies, Blue collar jobs, white collar jobs, online job ads, tech companies, AI automation, Apple, Microsoft, Burning Glass Institute, worker productivity, workforce reduction, new jobs, technological shifts.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT. Newsletter (and today's click to win giveaway): Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That MattersEp 181: New York Times vs. OpenAI – The huge AI implications no one is talking aboutEp 258: Will AI Take Our Jobs? Our answer might surprise you.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Understanding the Evolution of Large Language Models2. Connectivity: A Major Player in Model Accuracy3. The Generative Nature of Large Language Models4. Perfecting the Art of Prompt Engineering5. The Seven Roadblocks in the Effective Use of Large Language Models6. Authenticity Assurance in Large Language Model Usage7. The Future of Large Language ModelsTimestamps:00:00 ChatGPT.com now the focal point for OpenAI.04:58 Microsoft developing large in-house AI model.09:07 Models trained with fresh, quality data crucial.10:30 Daily use of large language models poses risks.14:59 Free chat GPT has outdated knowledge cutoff.18:20 Microsoft is the largest by market cap.21:52 Ensure thorough investigation; models have context limitations.26:01 Spread, repeat, and earn with simple actions.29:21 Tokenization, models use context, generative large language models.33:07 More input means better output, mathematically proven.36:13 Large language models are essential for business survival.38:53 Future work: leverage language models, prompt constantly.40:47 Please rate, share, check out youreverydayai.com.Keywords:Large language models, training data, outdated information, knowledge cutoffs, OpenAI's GPT 4, Anthropics Claude Opus, Google's Gemini, free version of Chat GPT, Internet connectivity, generative AI, varying responses, Jordan WilSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Is OpenAI launching a search engine this week? The original worry about Google that lead to the Microsoft-OpenAI partnership. Major U.S. newspapers suing Microsoft and Google. ... And a lot more. This is the AI news that matters for the week of May 6, 2024. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That MattersEp 181: New York Times vs. OpenAI – The huge AI implications no one is talking aboutEp 258: Will AI Take Our Jobs? Our answer might surprise you.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics covered in this episode: Timestamps:00:00 OpenAI may announce game-changing chat-integrated search engine.05:42 OpenAI aims to revolutionize search process.10:35 Importance of smaller, powerful models for services.13:01 US newspapers sue OpenAI, Microsoft over copyrighted content14:40 Large language models scrape Internet data for training, including copyrighted material, raising fair use debate.17:42 Potential lawsuit between New York Times and OpenAI.23:08 Microsoft's investment in AI yields significant growth.26:05 NVIDIA leading in specialized, powerful GPU chips.29:57 Warren Buffett admits lack of understanding in AI.33:56 AI's ability to discover new drugs discussed.36:14 AI news: OpenAI, ChatJPG, EU investigation, $285M allocation.Topics Covered in This Episode:1. Investments in Generative AI and Digital Twin Technology2. The Impact and Potential Threats of AI3. OpenAI, ChatGPT, and the Upcoming Search Engine4. Legal Issues Surrounding OpenAI and Microsoft5. The Evolving Semiconductor LandscapeKeywords:Jordan Wilson, generative AI, enterprise companies, digital twins, infrastructure improvements, Biden administration, investment, Warren Buffett, AI threats, deep fakes, Eli Lilly, novel drug candSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

The much-hyped Humane Ai pin? Dragged through the mud. The Rabbit R1 AI assistant? Accused of being a box running Android.Are these devices just too early? Or, do we really not need (or want) AI-powered devices following us everywhere? We'll weigh in with what you need to know.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AI-powered devicesRelated Episodes:Ep 201: Apple Vision Pro – The AI-powered product that (hardly) no one needsEP 184: On-Device AI: What it is and do we need it? What no one’s talking aboutUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:01:50 Daily AI News06:47 Discussion on need for wearable devices.08:51 AI devices offer vision and conversation capabilities.11:21 Wearables can record, take pictures, and assist.16:48 Ray Bans can have a camera feature.19:05 Negative reception for major AI gadget launch.22:37 Using big company's technology to create startups.24:09 Early AI SaaS companies mimic Apple's marketing.28:54 Apple designer and generative AI join forces.30:33 Big tech companies innovate devices, focus on optimization.34:55 Encourage sharing and community building in AI.Topics Covered in This Episode:1. Evaluation of specific AI wearables2. Concerns and skepticism about AI devices3. Impact of big tech companies on AI devices4. Debate about the functionality of AI devicesKeywords:AI startups, Generative AI, GPU, Large Language Models, Meta, Google, Microsoft, Nvidia, VC, Private equity, AI wearables, Jordan Wilson, Johnny Ivy, Sam Altman, AI Hardware Company, Apple, Samsung, AI-powered devices, AI Pin, Rabbit r one, Ray Ban Meta Glasses, Limitless Pendant, OpenAI's GPT-4 API, Second Brains, Smartphone Integration, Clear lenses Ray-Ban, Humane AI Pin, AI Gadgets, AI Product Reviews, Index GPTSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

There's so much uncertainty with AI and what's coming next. How will LLMs and other forms of AI impact our business? What can we do to prepare? Luv Tulsidas, Founder and CEO of Techolution, joins us to discuss how you can secure your business future with AI.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Luv questions on AIRelated Episodes:Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayEp 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for BusinessesUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:01:30 Daily AI news04:40 About Luv and Techolution07:00 Shifting business focus to AI10:49 Businesses seeking clarity on implementing generative AI.14:35 Companies seek AI for personalized, brand-aligned conversation.19:00 AI creates disruption, new jobs will emerge.21:53 AI limited by internet knowledge, lacks human abilities.25:15 Protecting proprietary AI, monetizing content, avoiding lawsuits.27:34 Start with successful companies' AI transformation.32:33 Ethical views vary in different economic systems.36:00 AI impact on future: Innovation, adapt, bright.38:44 AI should be done the right way.Topics Covered in This Episode:1. Pressure to Adopt AI in Businesses2. Coping with Uncertain AI Environments3. AI's Ethical Implications and Perspective on Job Protections4. Balance and Ethical Consequences of AI Deployment5. Future Shifts in Job RolesKeywords:AI in business, tech boom, practical AI solutions, FOMO in AI, large neural network models, domain-specific training, AI apprenticing, job protection, economic systems, Universal Basic Income, job layoffs, pursuing passions through AI, proprietary AI, Google and AI, data compensation, ethical AI, AI ROI, AI-generated business processes, AI and job losses, securing business future with AI, ad-funded AI chatbots, US government and AI, OpenAI's plans, artificial general intelligence, human jobs and AI, disruption of jobs by AI, problem-solving with AI, data quality in AI, AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Chances are, AI is already selling to you. And in the end, we're all in sales. (One way or another.) Find out from a seasoned sales pro how you can spend less time working and actually sell more. Might not add up, but it does when you know these AI sales secrets. Featuring Ryan Staley, CEO and Founder of Whale Boss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Ryan questions on AI and salesRelated Episodes:Ep 243: 5 Simple Ways To Use Generative AI Every DayEp 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for BusinessesUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:01:50 Daily AI news05:40 About Ryan and Whale Boss07:43 Integrating AI in sales.10:55 White collar work use tools, delegate to AI.15:03 Generative AI saves time in sales processes.18:30 AI integrates into sales, automating processes with oversight.22:17 Built management system, tech stack, job description.24:45 Strategies for content creation using Cast Magic.29:22 Rapidly expanding tech tools; future sales changing?33:06 Track and develop skills for transformation.Topics Covered in This Episode:1. Power and Potential of AI in Sales2. AI Tools Used and Recommended3. AI Skills TransformationKeywords:AI in sales, sales AI integration, AI training, AI-assimilation, AI-innovation, generative AI, micro tasks, large language models, sales call transcripts, AI sales preparation, knowledge workers, AI research tools, AI content creation, ChatGPT, Copilot, Cast Magic, Text Blaze, AI skill transformation, autonomous agents, AI-powered sales agents, human connection in sales, Jordan Wilson, Amazon AI assistant, GPT 2 chatbot, AI in non-selling activities, AI workflows, personalizing messaging, AI sales enablement tools, AI in sales strategy.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Is the next version of ChatGPT already out? Many people are saying the just-released gpt2-chatbot is either ChatGPT 4.5 or ChatGPT 5 in the wild. So.... is it? We'll tell you what you need to know, break down the rumors and cut through the fluff. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episode:Ep 248: Free ChatGPT vs. ChatGPT Plus – What’s the difference?Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:01:55 Daily AI news07:31 LMSYS chatbot arena hosts large language models.13:32 Sam Altman confirms GPT-2 model existence17:16 Large language models require significant energy and funding.20:54 Newer November version of GPT-3 confirmed.23:51 Possible glimpse of future technology, notable improvements.25:43 Large language models evolving to act as agents.29:43 Text is currently only text-based, may change.33:34 Recognizes OpenAI chatbot with GPT technology.Topics Covered in This Episode:1. GPT2- Chatbot functionality and limitations2. Origin of the GPT2-Chatbot3. Speculation around ChatGPT and GPT2- Chatbot4. Forecasts for Future AI ModelsKeywords:Chatbot leaderboard, Elo scores, GPT 2 chatbot, limitations of GPT 2 chatbot, origin and ownership of GPT 2, generative AI models, future of AI usage, AI giveaway, AI newsletter, chatbot rankings, GPT 4 Turbo, Claude 3 Opus, Gemini from Google 1.5, large language models, Microsoft, Google, OpenAI, Meta, multimodal chatbot, parameters size of new model, Jordan Wilson, Med Gemini, Apple AI team, AI-generated disc track, live stream audience, chatbot arena website, energy consumption by large models, environmental concerns, problem-solving abilities of new modelSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Is there a legit Sora competitor now? What does NVIDIA's $700 million acquisition mean for the GenAI world? Is Apple ditching Google and teaming up with OpenAI for future AI-powered iPhones? We'll answer those questions today 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 AIRelated Episodes:Ep 211: OpenAI’s Sora – The larger impact that no one’s talking aboutEp 240: Latest Apple AI rumors, $100-billion Stargate partnership between Microsoft and OpenAI – AI News That MattersUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:03:17 AI video competitor for Sora05:05 Discussion on OpenAI's Sora model and implications.08:15 NVIDIA acquires Run:ai10:55 Apple in talks with OpenAI14:50 US government forms AI safety advisory panel.20:12 Adobe incorporating new AI capabilities across platforms25:00 Meta makes Ray Bans multimodal26:30 Contest ends tonight, refer friends to enter.Topics Covered in This Episode:1. New Sora Competitor 2. Nvidia's Acquisition of Run;AI3. Apple's AI Integration Plans4. Advisory Panel on AI Security for Homeland5. Adobe Photoshop's Generative Fill FeatureKeywords:AI news, Sora, NVIDIA, acquisition, Apple, OpenAI, iPhone, AI video competitor, everyday AI, podcast, newsletter, Meta Ray Bans Smart Glasses, generative AI, Vidu, Sheng Shu AI, Tsinghua University, AI model, UVIT model, Run AI, AI infrastructure management, DGX Cloud AI platform, Google, Gemini model, large language model, Adobe, Firefly 3, Photoshop, AI regulations, AI safety.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Do we want ChatGPT to remember everything about us? Or, is this a new ChatGPT solution looking for a problem? We're covering ChatGPT's new cross-chat memory feature and how it might change the way you prompt. (For better or worse.) 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 246: No that’s not how ChatGPT works. A guide on who to trust around LLMsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:01:55 Daily AI news07:16 New ChatGPT memory feature08:08 Large language models struggle with remembering conversations.10:16 OpenAI posted about a new feature.15:06 Training AI to generate personalized responses efficiently.22:11 Temporary chats won't improve our GPT models.24:29 Problematic chat behavior requires better AI training.27:07 Custom instructions control informal tone and memory crossover.30:23 New memory feature slowing down response times.34:01 New memory feature works best with limits.36:00 AI newsletter referral contest for Meta Ray-Ban glasses.Topics Covered in This Episode:1. ChatGPT’s New Memory Feature2. Benefits and Drawbacks of the Memory Feature3. Suggestions for Improving ChatGPT4. Application and Actual UseKeywords:Temporary chat, UI, memory feature, ChatGPT, AI news, Elon Musk, XAI startup, AI podcast, AI newsletter, AI giveaway, smart glasses, Doctor Harvey Castro, Michael, YouTube, user engagement, memory management, corrections, Checkatrade, chat history, training data, profile improvements, referral contest, meta Ray Bans, OpenAI, paid users, settings, UI/UX improvement, auto-commit memory.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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 businSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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 learningSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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 GenerationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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, integratioSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

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: [email protected] 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 computingSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.

Win a free year of ChatGPT or other prizes! Find out out.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: [email protected] 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 CSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.