Everyday AI Podcast – An AI and ChatGPT Podcast

Latest Episodes:

EP 303: What the AI experts are getting wrong (and right) about AI. Jun 27, 2024

Show notes

What does the future of AI look like? A lot of AI futurcasting starts as seedlings at AI conferences across the country. Sometimes we're lucky enough to attend and speak at some of these conferences. Sometimes, speakers and panelists are spot-on when talking about the future of AI. And at times, they can miss the mark. We're giving you all a quick recap of one such conference we attended -- Chicago AI Week.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 236: NVIDIA GTC Recap – 3 ways NVIDIA is going to change the AI world
Ep 288: Big Tech’s Critics Have Gotten a Lot Wrong on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Innovation in Business and AI
2. Role and Importance of AI Experts
3. Ethical Considerations in AI Implementation
4. Trends in AI Startups and Public Companies
5. Chicago AI Week
Timestamps:
01:30 Study challenges traditional assessment, questions AI in academia.
05:17 Recapping Chicago AI Week, common trends
09:08 Unprecedented business innovation, US leading in safety.
13:37 Transition to AI native is vital. Industry expertise shines.
16:12 AI impacts on productivity, ethics, and jobs.
20:12 AI startups need to be cautious with value.
22:56 GPTs enable companies' similar capabilities.
26:32 Demand for generative AI generalists will grow.
27:52 Experts should understand basics of generative AI.
32:32 AI content detection is not real, period.
36:33 Engaging with content puts you in top 1%.
Keywords:
business innovation, safety, risk mitigation, generative AI, AI first company, AI native company, AI expertise, ethics in AI, reskilling, upskilling, AI job displacement, AI impact on workforce, public companies, AI investment, company mission and AI alignment, startups, value propositions, AI language models, prompt engineering, tokenization, context windows, transformers, AI generalists, international monetary fund, AI in academia, AI voice clone, AI content detection, AI startups, AI conference, livesteams

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

EP 302: 5 Laws for Success in the AI Era Jun 26, 2024

Show notes

AI implementation is tricky. If only there were some simple, easy to follow steps to understand it all. Oh wait... that's what we're going to be breaking down with Isar Metis, CEO of Multiplai.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Isar questions on AI
Related Episodes: Ep 126: Real Business Use Cases for AI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Law of Continuously Improving Compromise
2. Importance of Prompt Engineering and AI Tool Testing
3. Scalability and Efficiency with AI
4. Application of AI in Business
Timestamps:
01:10 OpenAI delays voice mode, Anthropic introduces projects.
04:45 About Isar and Multiplai
06:51 Insights on AI for business growth summarized.
09:13 AI systems streamline customer service, benefitting companies.
12:51 Reconsider productivity and efficiency in age of AI.
16:18 AI tools enhance design and efficiency without coding.
20:23 Advocating for smaller language models in AI.
21:49 Great advice on data and optimization options.
27:32 Regularly use various image generation tools for testing.
28:16 Run up to 6 large models, compare use cases.
33:57 Companies should prioritize proper processes and quality.
36:50 Strategic and HR evaluations for AI impact.
37:37 Company committees prioritize, implement and evaluate solutions.
Keywords:
Isar Meitis, AI tools, presentations, graphic design, proprietary data, AI policy, improving compromise, adapting to new technology, implementing AI, prompt engineering, testing AI tools, scalability, marketing, sales, operational processes, service scale, home automation industry, bottlenecks, measurable wins, strategic evaluations, HR evaluations, AI community, leveraging AI podcast, everyday AI, 5 laws for success in AI era, OpenAI, ChatGPT, Multiply, customer service, transitioning professions to skills.

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

EP 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT's GPT-4o Jun 25, 2024

Show notes

Is there finally a (real) ChatGPT killer? Anthropic just released its newest model, Claude 3.5 Sonnet. And out of the gate, this thing is friggin powerful. It's outbenchmarking every other model and the new Artifacts feature is a legit game-changer. But, does it actually hold its weight against ChatGPT's new GPT-4o head-to-head? We put it to the test.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Claude 3.5 Sonnet
Related Episodes: Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Overview of Anthropic Claude 3.5 Sonnet
2. Claude 3.5 Sonnet Artifacts Feature
3. Comparison of Claude 3.5 Sonnet to GPT-4o
4. Real World Examples and Use Cases
Timestamps:
03:00 Reviewing powerful Anthropic's model and its performance.
08:00 Anthropic touts 3.5 Sonnet's powerful new vision model.
10:58 Excited about new artifacts feature, free with limits.
16:31 Anthropic's artifacts revolutionize language model interface.
23:21 Usage limited to one chat window for efficiency.
27:46 Language models struggle with common problems.
36:26 Create solution for non-existent problem, market strategy.
39:52 Computer vision for food identification and organization.
46:44 Chad GPT more accurate than Claude.
48:13 Create game sales spreadsheet, visualize data graph. Upload.
54:39 Write newsletter in host's style from podcast transcript.
01:02:28 OpenAI may overshadow GPT-3 with new features.
01:05:15 Chat GPT excelled, handled large spreadsheet impressively.
Keywords:
Jordan Wilson, Everyday AI, podcast transcript, newsletter copy, AI tools, Anthropic, Chat GPT, Claude, artifacts feature, coding visualization, front end website design, OpenAI's GPT builder, real-time internet access, third-party API, dynamic data, Claude 35 Sonnet, GPT 4o, logic questions, 35 OPUS, GPT Next, handling large spreadsheet, logic quiz, river crossing problem, t-shirts drying question, airplane black box, joke generation, marketing ideas, company brainstorming, Quantum Haven, SleepSync Sphere, Neural Dwell, Mood Morph, computer vision, food items identification, nutritional information, Chicago skyline, chatbots, data analysis, top selling video games, interactive graph.

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

EP 300: AI News That Matters - June 24th, 2024 Jun 24, 2024

Show notes

NVIDIA became the world's most valuable company. Then they lost that title.
Why is ChatGPT no longer the king of the LLM hill?
Did you see Runway Gen-3?
We'll explain all of that in this week's AI News That Matters.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Competition in development of LLMs
2. NVIDIA's rise as the most valuable company.
3. OpenAI drama and partnership
4. Runway's new AI model
Timestamps:
02:05 Runway's Gen 3 Alpha promises faster AI video generation.
06:40 Claude 35 Sonnet AI chatbot offers innovation.
08:39 Benchmarks show Sonnet 3.5 ahead of GPT-4.
12:14 Live preview and rendering change language models.
15:16 NVIDIA shares slump, Microsoft regains top spot.
19:57 OpenAI and Color Health collaborate for cancer care.
21:22 OpenAI acquires Rockset to enhance enterprise products.
26:58 OpenAI accused of prioritizing product over safety.
29:12 Concern about AI safety and partnerships with OpenAI.
31:41 AI companies jostle for dominance in tech.
Keywords:
OpenAI, Meta, Anthropic, language models, Claude 3.5 SONNET, artifacts, NVIDIA, market cap, GPU chips, artificial intelligence, Hour 1, live AI clone, human interview, Jensen Huang, AI safety, SAFE Super Intelligence Inc., Ilya Sutskever, quad 3.5 Sonnet, Microsoft, Apple, Color Health, cancer research, RockSets, enterprise products, Runway, Gen 3 Alpha, AI video space, AI avatars.

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

EP 299: Fixing the Unfixable with AI Jun 21, 2024

Show notes

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

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode page
Join the discussion: Ask Jordan and Jason questions on AI and innovation
Related Episodes:
Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI
Ep 216: How to stand out in a world filled with AI startups – Insights from Taplio CTO
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Timestamps:
01:30 About Jason and Entrepreneur Magazine
03:15 Break things that are already broken - what it means
09:20 Questioning familiar systems, seeking improvement through change.
11:18 AI tools streamline tasks, freeing time.
14:46 First interactions with AI
18:15 AI opportunities and caution in market focus.
20:23 Develop systems for desired outcomes, AI's role.
25:31 Belief in fixed work, worker ratio fallacy.
26:37 New technology leads to economic shifts and innovations.
30:46 Adapt to change for future job fulfillment.
Topics Covered in This Episode:
1. AI's Impact on Traditional Business Processes
2. Viewpoints on Business and AI
3. Future of AI in Business and Everyday Life
4. Jason Feifer's Stance on AI and its Potential for Transformation
5. Impact of AI on Media Industry
Keywords:
AI, Jordan Wilson, Jason Feifer, antiquated business processes, challenging systems, property managers, generative AI, newsletters, business growth, creative expression, DALL E, Fathom, AI in business, consumer problems, Gartner hype cycle, microwaves, tech layoffs, entrepreneurship in AI, Entrepreneur Magazine, Jason Pfeifer, law, academia, student learning, AI advice, Everyday AI newsletter, job losses, economic shifts, lump of labor fallacy, automation, fast food kiosks.

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

EP 298: Going from Everyday AI to Game-Changing AI Jun 20, 2024

Show notes

Enter to win a FREE Custom Avatar from Hour One as part of their #HourOneChallenge - Go find out more here
How does AI go from 'cool business tool' to changing everything? It's not an overnight process. It takes intentional steps. Rehgan Bleile, CEO of AlignAI, walks us through those steps.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Rehgan questions on AI
Related Episodes: Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Current AI Trends
2. AI Implementation and Barriers
3. Security Concerns of AI Implementation
4. Applications of Generative AI
Timestamps:
01:35 Daily AI news
04:15 About Rehgan and AlignAI
08:33 Enhancing customer service with AI for industries.
12:48 Identifying core problems and solutions in industries.
15:14 Leveraging AI across company operations to improve.
18:52 AI governance and training critical for user adoption.
20:59 Reliance on systems requires comfort and oversight.
26:33 Create AI policies, buy point solutions. Ask vendors.
27:20 Implement AI strategy methodically and educate employees.
Keywords:
small AI models, open-source AI, AI policies, steering committee, AI implementation timeline, workforce transformation, risk mitigation, Jordan Wilson, generative AI, AI dependency, digital literacy, AI literacy, data privacy, data ownership, copyright IP protection, data storage, emerging AI trends, generative AI impact, AI measurement, AI internal usage, sales, marketing, Ilya Sutskever, Safe Superintelligence Inc, Accenture, cloud migration, Align AI, regulated environments, AI in customer service.

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

EP 297: Me, Myself, and AI - How digital avatars will impact our work Jun 19, 2024

Show notes

Enter to win a FREE Custom Avatar from Hour One as part of their #HourOneChallenge - Go find out more here
Ready or not, AI avatars are here. (We're obviously ready.) Sure, AI avatars change how we can communicate. But, the impact doesn't stop there. Gen Ukaj from Hour One, a company pushing AI avatars forward, joins us to discuss the tech and its future.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Gen questions on AI avatars
Related Episode: Ep 296: AI Clone Tries to Stump Human Counterpart Live on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI Avatars and Digital Twins
2. Hour One and Virtual Human Technology
3. Human Interaction and Limitations of Bots
4. Special Applications of AI Avatars
Timestamps:
01:35 Daily AI news
04:35 About Gen and Hour One
06:24 Avatar derived from video games, personas explained.
09:50 Use AI to broaden audience with personalization.
12:45 Create diverse content easily using virtual clones.
17:05 AI meeting assistance transforming future communication technology.
18:50 Universe is business to business, potential for central bot.
21:35 Ethical concerns about advanced technology in AI.
25:59 AI avatars and robots in healthcare touchy.
28:00 Exploring AI's moral and ethical implications.
Keywords:
Jordan Wilson, AI avatars, digital twins, OpenAI, mayoral candidate, AI chatbot, responsible AI use, politics, Meta, FAIR Group, AI models, NVIDIA, market value, AI chips, Gen Ukaj, Hour 1, virtual human technology, digital clones, deep fakes, consensual creation, sponsorship, events visibility, AI technology in meetings, bot figure, ethical considerations, virtual clone, high-quality video production, sales communications, marketing content, training videos.

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

EP 296: First Ever - AI clone tries to stump human counterpart live on AI Jun 18, 2024

Show notes

Enter to win a FREE Custom Avatar from Hour One as part of their #HourOneChallenge - Go find out more here
For the first time ever....(As far as our research shows) This will be the first time an AI clone interviews its human counterpart live. Is my AI clone smarter than me? Will I crumble under the pressure?
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Potential Impact of AI on Careers
2. Leaders in AI Technology
3. Discussion on Global AI Innovation
4. Privacy and Security Concerns with AI
5. Creative Potential of AI
6. AI Integration into Society
Timestamps:
02:25 Daily AI news
07:55 OpenAI excels as business system, surpasses others.
12:15 Train AI, use tools, future of creativity.
16:00 Traditional web search outdated, replaced by alternatives.
16:40 Internet use becoming unbearable, predicts shift to AI.
21:49 Altman and Huang predict AGI within 5 years.
25:14 NVIDIA's rise to most valuable company predicted.
28:30 AI will automate and oversee business decisions.
32:27 Hour One offers AI avatar video technology.
36:18 Personal data privacy and security concerns with AI.
38:57 Companies need humans to weed out bias.
43:00 Flying cars may flop at first, but future potential.
44:35 AI technology may replace human work gradually
Keywords:
Jordan Wilson, AI technology, career disruption, Artificial General Intelligence, Artificial Superintelligence, NVIDIA, Amazon, AI digital avatar, generative AI, McDonald's, IBM, AI drive-through technology, Google DeepMind, v2a model, Runway Gen 3 Alpha, AI video creator, OpenAI, ChatGPT4O, AI integration into workforce, future of work, AI as co-workers or bosses, US AI innovation, China AI competition, Hour 1 communication technology, AI companionship industry, data privacy, AI bias and stereotypes, self-replicating AI, humanoid robots, AI in day-to-day life.

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

EP 295: AI News That Matters - June 17th, 2024 Jun 17, 2024

Show notes

Why Apple won't pay OpenAI. Find out the major AI feature Microsoft is delaying. The reason why Alexa's AI is so far behind. How Sora got beat by Luma Dream Machine. And more in this week's AI News That Matters!
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Ep 278: Microsoft Build AI Recap – 5 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI's Unique Partnership with Apple
2. Microsoft's Delayed Launch of Recall Feature
3. Luma AI's Dream Machine Model
4. Amazon's Alexa AI Development Challenges
5. Pope Francis Talks AI at G7
Timestamps:
03:00 Apple not paying OpenAI for partnership
07:34 Apple users get free access to GPT-4.
11:35 Microsoft's new Copilot Plus PCs recall feature delayed.
14:41 Enterprise companies likely won't refuse recall feature.
20:27 Comparison of AI video tools and platforms.
24:05 Alexa faces challenges in development and integration.
25:36 Pope warns of AI dangers to humanity.
28:59 S&P growth in 2023 driven by AI.
32:00 Jordan to be questioned by AI clone.
Keywords:
Jordan Wilson, Everyday AI, generative AI, Apple, OpenAI, partnership, ChatGPT, GPT-4, processing power, Microsoft, recall feature, privacy concerns, Luma AI, Dream Machine, text-to-video model, Sora, Cling, Luma Labs, AI video tool, school breaks, monster camp, AI image generators, Amazon, Alexa, Pope Francis, AI risks, AI regulation, Magnificent Seven, AI superpower, AI clone.

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

EP 294: Why the Future of AI Will Be Built by Non-Technical Domain Experts Jun 14, 2024

Show notes

Prompting a large language model requires a bunch of tech know-how right?
↳ Super structured inputs
↳ RAG
↳ Fine-tuning
Meh. Not so much. The best way to prompt your way to better results? Flex your domain expertise. Jared Zoneraich, Founder of PromptLayer, joins us to discuss.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jared questions on building AI
Related Episodes: Ep 164: ChatGPT Doesn’t Suck. Your Prompts Do.
Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of prompt engineering
2. Role of non-technical domain experts
3. Evolving landscape of AI technology
4. Future concerns and preparations
Timestamps:
01:35 Daily AI news
04:32 About Jared and PromptLayer
07:19 Creating successful AI product hinges on expertise.
08:45 Simplifying AI development and retaining human input.
11:50 Small models vs big models: implications for AI.
17:10 LLMs elevate conversation and knowledge sharing.
21:12 Product success depends on voice and connection.
22:29 Rapid adaptation to new technology creates disparity.
27:02 Prepare AI models, modular approach, conversational application.
29:38 Key steps in maximizing AI model productivity.
Keywords:
Jordan Wilson, prompt engineering, machine learning, Pope Francis, ethical AI, G7 summit, AI regulation, General Paul Nakasone, OpenAI, cybersecurity, Microsoft, recall feature, privacy advocates, Jared Zoneraich, Prompt Lair, nontechnical domain experts, AI products, AI services, Cursor, Copilot, Hevia, ParentLab, Gorgias, communication skills, large language models, commoditization of knowledge, computational thinking, AI revolution, AI applications, human expertise in AI.

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

Our TOPPODCAST Picks

Follow Us

Stay Connected

Everyday AI Podcast – An AI and ChatGPT Podcast

Related Podcasts

Links

Stay Connected