Everyday AI Podcast – An AI and ChatGPT Podcast

Send Everyday AI and Jordan a text messageIs Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google’s big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We’ve got the AI answers with the 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 Robotics Department2. NVIDIA's AI Projects and Tech3. Google's AI Updates and AGI shift4. Microsoft's Open Source Model5. Meta speaks on AI and Software EngineeringTimestamps:00:00 Daily AI news, podcast recaps, expert episodes.04:34 NVIDIA's CES keynote: Major AI GPU announcements.06:52 NVIDIA uses generative AI to enhance GPUs.12:19 Local powerful AI models enhance data security.16:10 NVIDIA forks Meta's Llama for enterprise AI.20:44 Google aims for AGI using advanced world models.22:34 Phi 4: Efficient, powerful, open-source AI model.25:35 Microsoft prioritizes retaining AI talent with bonuses.31:34 OpenAI revives robotics department for versatile robots.35:18 OpenAI urges US to secure AI investments.39:21 Observations connect over time; predictions often accurate.40:01 Prediction on AI agent numbers was impactful.Keywords:OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google’s Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageDo we need AI in a cat tree? Or in a beverage cooler or "smart grill"? Probably not. But that didn't stop the tech companies from trying to literally stuff AI into everything they could for this year's Consumer Electronics Show. There was actually a lot of new and exciting AI tech. Join us as we cover it all. 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. CES Highlights2. Top Companies at CES3. Observations from CESTimestamps:00:00 CES filled with AI developments, noteworthy and unnecessary.06:02 NVIDIA's CES announcements impressive, major updates ahead.07:55 Ideal for AI researchers running large models.10:17 Samsung targets enterprise with AI-powered solutions.13:19 LG Furon AI: Personalized Home Automation Enhancements.18:14 Consulting firms embrace AI to remain competitive.21:45 Tech companies create AI models despite data gaps.24:13 Robotic arm vacuums by picking up objects.29:56 Prefers durable appliances over smart technology.30:56 Many AI announcements fail to materialize successfully.33:43 Concerns over AI appliances and privacy issues.39:39 Perfectcore launched innovative AI beauty solutions.40:23 Sign up for AI daily newsletter online.Keywords:Jordan Wilson, Everyday AI podcast, CES, Asus Zenbook 14, CyberLink, Perfectcore, Perfect GPT, AI hair solutions, YouCam, NVIDIA, Microsoft, AI systems, LG, Qualcomm, AI chatbots, AI-enabled hardware, NVIDIA Cosmos, AI in Homes, Samsung, Honda, BMW iDrive system, Withings Cardio mirror, Holmes AI platform, NVIDIA's Nemotron AI models, Microsoft's WorkLab podcast, TSMC, Grok app, CES Highlights, AI News, AI in Automotive

Send Everyday AI and Jordan a text messageYour data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Barr questions on AI and dataUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. the Importance of Data2. Challenges and Opportunities in Leveraging Data3. Adoption of Data Practices4. Data Use Case Examples5.Generative AI, LLMs, and Data IntegrationTimestamps:00:00 Empower AI proficiency with daily insights.06:02 Data observability ensures reliability and issue resolution.07:15 Understanding data's importance is crucial for businesses.13:07 Personalized AI relies on unique enterprise data.15:20 Large enterprises struggle with data consistency, smaller teams advantage.19:42 Generative AI analyzes sports data for insights.22:56 Personalized financial products using reliable data.23:56 Credit Karma Intune boosts external and internal productivity.28:02 Peak data reached; synthetic data becomes crucial.30:36 Recap available on your everydayai.com.Keywords:Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.

Send Everyday AI and Jordan a text messageMeetings. Speeches. Quick thoughts to self. Those words are more than words. That's your company's secret sauce. Philip Kiely, Head of Developer Relations at Baseten, joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Philip questions on AI transcriptionUpcoming 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 Transcription Benefits2. Whisper Model by OpenAI3. Cost of Transcription4. Business Applications for AI TranscriptionTimestamps:00:00 Conversations are gold; AI makes them valuable.03:56 NVIDIA advances exceed Moore's Law; Apple's AI inaccurate.09:48 Text transcription technology error-prone; manual transcription necessary.11:19 Whisper V3: Low error rate, multilingual accuracy.14:58 Whisper rapidly transcribes audio with high efficiency.17:26 Emotion inflection crucial for text-to-speech synthesis.23:58 AI transcriptions need human verification for accuracy.25:35 Chain cheap AI models for efficient calls.30:53 On-device AI less powerful than cloud AI.33:07 Build prototypes now; technology improving rapidly.Keywords:Whisper by OpenAI, Automatic Speech Recognition, Open-source ASR, Accuracy, Multilingual ASR, MIT licensed, Amazon Transcribe, Whisper V3 Turbo, Live transcription, Speech inflection, ChatGPT, Philip Kiely, Jordan Wilson, Everyday AI podcast, Unstructured data, Anthropic funding, NVIDIA AI advancements, Apple AI alerts, AI transcription, Base 10, Searchable data, AI infrastructure platform, AI cost efficiency, Wearable technology, Voice control, On-device inference, Cloud inference, Speech synthesis, Business applications of transcription, Future of work Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/