Avsnitt
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Everything in your current AI playbook is about to get shredded, stomped on, and turned into digital confetti.
I've spent 2024 living in the bleeding edge of AI development, meticulously tracking AI’s development as my full-time job.
And what's coming next….. yikes.
↳ We're entering an era where AI doesn't just chat – it REMEMBERS.
↳ Where what us humans know becomes kinda worthless. (Or at least worth less.)
↳ Where specialized models hit harder than a triple espresso shot.
↳ Where different AIs team up like some digital Avengers squad.
And AGI?
It might just slip through the door while everyone's busy debating if it's possible.
We're peeling back the silicon curtain on the last and final installment of our 2025 AI Predictions and Roadmap: AI's Technical Leaps: Memory, Models, and Major Changes.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Narrow AI Agents
2. LLM Memory
3. LLMs Becoming Small Language Models
4. Mixture of Models
5. AGI is Achieved
Timestamps:
00:00 Live Insights and Trend Spotting
06:25 "Seeking Feedback for Newsletter"
07:44 AGI: Not Coming Anytime Soon
11:11 AI Memory and Context Windows
15:25 "Microsoft's GPT-4 Mini Revelation"
18:32 Open Source Models' Future Evolution
20:47 Small Models Surpassing Larger Ones
25:37 "AGI Achieved? Debating OpenAI's Claim"
28:35 AGI Achieved: Minimal Immediate Impact
Keywords:
AI predictions, AGI, artificial general intelligence, large language models, dumb AI, technical leaps, memory models, everyday AI, AI trends, free daily newsletter, AI experts, podcasts, Microsoft, Google, OpenAI, IBM, agent orchestrators, public companies, AI agents, company reasoning data collection, API prices, AI video tools, AI influencers, AI software, AI regulations, narrow AI agents, LLM memory, context window, OpenAI's memory feature, mixture of models.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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After testing every major AI development and seeing what actually works (and what's just expensive snake oil pushed by know-nothings online)… lemme tell you what 2025's bringing to the table:
↳ Regular humans like Jan are about to become kingmakers.
↳ Not just "I-can-use-Canva" queens.
↳ We're talking "I-just-built-an-entire-software-suite-that-3X’ed-our-sales” friggin royalty.
We're exposing the REAL future of business tech in Vol 4 of our 2025 AI Predictions and roadmap series: Your Complete AI Toolkit.
Miss this one and you'll be the last company still waiting for IT while your competition clones your 2026 roadmap and goes to market in 3 days.
The code barrier is DEAD. Time to learn how to play in a world where everyone's a builder and the rules …. Aren’t really there.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Non-techies Gets Smarter
2. Reasoning wrappers
3. Virtual machines
4. Politicization of AI
5. Global AI Regulation
Timestamps:
00:00 Evolving AI Toolkit: Future Changes
05:24 Predicting Likely Outcomes Live
08:44 Future of App Development Trends
12:04 Adapting to Emerging Reasoning Models
13:29 "Evolution of AI Models"
19:27 Musk's Controversial Government Role
23:29 "Stricter Global AI Regulations Emerging"
24:39 AI's Impact on Global Power
Keywords:
SEO assistant, AI tools, large language models, artificial intelligence, AI toolkit, generative AI, AI predictions, AI influencers, software development, non-technical people, AI applications, GitHub Copilot, Cursor, Windsurfer, Lovable, AI models, reasoning data collection, virtual machines, Windows 365 link, Google's Project Mariner, OpenAI's operator, EU act, AI accountability laws, artificial general intelligence, superintelligence, AI regulation, business applications, natural language processing, structured data, unstructured data.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Saknas det avsnitt?
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After spending 2024 watching EVERY major AI video launch, testing hundreds of tools and features, and consulting for content teams worldwide... let me drop some sweet truth that might taste sour.
The content game your biz has been playing the last few years? It's about to get CTRL-ALT-DELETED.
What's coming in 2025?
↳ I'm talking AI spinning up ENTIRE VIDEO CAMPAIGNS while your marketing team is still scheduling their next brainstorm.
↳ Social feeds so flooded with deepfakes, your customers won't know what's real.
↳ And that massive copyright case? It's about to rewrite how EVERY company thinks about content ownership.
We’re breaking down the future of business content in Vol 3 of our 2025 AI Predictions series: Content's AI Revolution.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Future of AI video tools
2. Social Media and AI
3. AI copyright case
4. AI influencers
5. Rise of AI media
Timestamps:
00:00 AI content in 2025
06:09 AI Images: Reality or Illusion?
09:45 Future of Traditional Internet Questioned
10:29 "AI Dominates Future Web Content"
14:03 Search Engines Impact Online Monetization
18:38 Deepfake Dangers for Teens
21:34 AI Models and Copyright Disputes
24:34 "UGC's Influence Over AI Trends"
26:08 "2025 AI Predictions Recap"
Keywords:
Jordan Wilson, content change, 2025, generative AI, content creation, content distribution, media, Everyday AI, AI Predictions, Content AI Revolution, Videos, Streams, Stars, AI video tools, advanced personalized media, APM, Google Veo, AI content generation, social media, deepfake AI, copyright case, AI influencers, UGC content, OpenAI, Microsoft, New York Times, copyright law, AI regurgitation, embodied AI, AI newsletters, AI photo generator, AI livestream podcast.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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The entire AI market is about to go super-friggin-nova in 2025.
↳ I'm not just talking about open source throwing hands with Big Tech (though THAT'S happening).
↳ I'm talking about tectonic shifts that are going to reshape who holds the power, who pays what, how LLMs will work and who's about to get LEFT BEHIND.
↳ From API prices falling through the floor to embodied AI stepping out of sci-fi and into your office – the next wave makes ChatGPT's launch look kinda like a kiddy splash pool.
I'm sharing the REAL market forces at play in Vol 2 of our 2025 AI Predictions series: AI Market Forces Collide.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Prediction of Open Source Models
2. Chinese AI Influence
3. Future of Perplexity
4. Drop in API prices
5. Rise of Embodied AI
Timestamps:
00:00 Jordan's 2024 Predictions Explained
03:28 "AI Market Forces Collide"
09:25 Open Source Surge in AI Models
10:29 Open Source Models Rising
15:32 AI's Political Impact by 2025
19:17 Google's New AI Search Tool
21:53 Open Source Impact on AI Pricing
22:58 Token Pricing Drop for GPT Models
26:35 Embodied AI to Surpass Tesla
Keywords:
AI predictions, Artificial Intelligence, everyday AI, API, AI models, GPT-4, NVIDIA, GTC conference, generative AI, data collection, livestream, AI companies, AI agents, AI model prices, embodied AI, humanoids, OpenAI, Anthropic, Google Gemini, Perplexity, open source models, language models, Chinese AI, AI audio, aqua hire, large language models, autonomous vehicles, drones, wearable AI, robo taxis.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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You know those common good habits and best practices that have worked since the dawn of the digital age?
Kiss all that goodbye in 2025 y’all. Your regularly scheduled reality is evolving. AI Agents aren't just changing HOW we work - they're changing who we ARE and what work even means.
I’ve spent thousands of hours talking about Generative AI, interviewing hundreds of the world’s AI leaders at big companies like Microsoft, NVIDIA, Google, OpenAI, IBM and others.
This week — I’m sharing what’s REALLY happening in our first-ever Podcast Series: 2025 AI Predictions: The Roadmap ahead.
We kick off Monday with Vol 1 — Agents.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI Agents in 2025
2. AI and Businesses in 2025
3. Discussion on AI Job Market
4. Universal Basic Income and AI
Keywords:
AI agents, professional services, AGI, UBI, AI predictions for 2025, Everyday AI, artificial intelligence, Jordan Wilson, companies, AI education, Microsoft Copilot Studios, Salesforce agent force, AI economy, public companies, AI jobs, agent orchestrators, unstructured data, structured data, reasoning models, AI adoption, AI-based companies, OpenAI, Microsoft, Google, IBM, large language models, generative AI, agent systems, AI reasoning, AI technology.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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With AI taking over, the internet is now broken. Can Google Gemini Deep Research fix it? Join us as we go over what Gemini Research is, how to use it, and if it's the future of how we use the internet.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Google Gemini
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Google Gemini Deep Research Capabilities
2. AI Tools and Deep Research
3. Comparison of AI Research Tools
4. AI Research Implications
5. AI's Impact on Traditional Access to Information
Timestamps:
01:35 Google Deep Research
04:42 Gemini XP 1206: Improved performance, requires subscription.
07:40 Google Gemini's front end wasn't user-friendly.
12:00 Google deep research simplifies information gathering online.
14:31 Mobile access 2025; Perplexity vs ChatGPT search.
17:40 Generative AI struggles with complex unrelated tasks.
21:17 Gemini not available on many workspace accounts.
23:27 OpenAI and Google released significant AI updates.
28:10 Open in Google Docs; not deep research.
29:53 Google Gemini UI/UX praised as excellent.
34:06 Google Gemini front-end broken, backend impressive.
37:56 Research US tiny house communities comprehensively, please.
41:11 OpenAI and Google released numerous AI updates.
45:13 Base models average; Gemini outperforms with A-.
47:53 Comprehensive guide highlighting tiny house communities nationwide.
51:54 Optimize hours for 10x results, minimal research.
54:00 Content monetization challenges with AI disruptors looming.
Keywords:
Jordan Wilson, AI tools, deep research, split test, tiny house communities, ChatGPT, Perplexity, Google's Gemini, AI product releases, research capabilities, reasoning mode, content generation, research efficiency, AI in content creation, AI-generated content errors, AI tools popularity, ad share model, Google Docs, OpenAI, multimedia content, Google Gemini Deep Research, podcast, NVIDIA Jetson Orin Nano Super Developer Kit, Salesforce Hiring Expansion, large language models, internet data, multi-step research tasks, audience interaction, Google Gemini's subscription, iterative prompting.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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ChatGPT's new 'Task' mode is here. Is this some gimmicky feature that'll get glazed over? Or a small step toward Operator, OpenAI's upcoming agentic release? We dive in to find out.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on the o1 pro model
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Difference between transformer models and reasoners
2. OpenAI's new reasoning model, o1 Pro
3. Different variations of o1
4. Use-cases for o1 pro
5. ChatGPT Plus Overview: What's included for $200
Timestamps:
00:00 Exploring OpenAI's O One Pro05:23 Pay-Per-Use Microsoft AI Unveiled
11:18 GPT Subscription Plan Comparison
17:01 OpenAI's New Model Releases
22:48 GPT-4.0 vs. Pro: Speed vs. Tools
26:05 OpenAI's Affordable Pricing Debate
36:25 Podcast Content Longevity Analysis
37:12 "Evaluating AI Use Case Data"
46:06 AI Milestones and Google's Misstep
52:37 AI Usage Efficiency Comparison
57:10 Multitasking in AI-Driven Work
01:01:14 AGI Prediction and Tool Access
01:03:50 "o One's Efficiency Advantage"
Keywords:
chatgpt, chatgpt podcast, learn chatgpt, o1, o3, o1 pro, openai podcast, openai o1 pro, agentic, chatgpt tasks, gemini, copilot, ai news, generative ai
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/
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Send Everyday AI and Jordan a text message
ChatGPT's new 'Task' mode is here. Is this some gimmicky feature that'll get glazed over? Or a small step toward Operator, OpenAI's upcoming agentic release? We dive in to find out.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Importance of Context Tasking
3. Task Management in ChatGPT
2. Utility of ChatGPT's Task Feature
3. Limitations and Challenges
4. Opportunities for Future Improvements
5. Agentic AI and Task Automation
Timestamps:
03:00 Daily AI news
05:17 OpenAI's Tasks update dominates today's AI news.
08:51 Access requires subscription; clear cache, update app.
13:15 GPT-4 tasks limited despite $200/month plan.
17:08 Focus on practical, business-oriented AI applications.
17:49 ChatGPT's autonomous tasks are foundational, powerful.
21:46 Frustration with noisy, singing smart appliances daily.
26:41 Converting prompts to tasks using ChatGPT.
27:45 Research daily using chat and browser tools.
33:10 Find top 3 relevant marketing news daily.
34:29 Implement daily AI strategies; reference 2025 innovations.
38:03 Custom instructions per chat require manual context.
41:33 Notify big stock shifts, research reasons.
46:19 Information processing with AI for accurate predictions.
Keywords:
ChatGPT, AI news updates, podcast data analysis, task feature in ChatGPT, OpenAI, personalized AI updates, daily AI news, task management, task stacking, agentic AI, autonomous task automation, task scheduling, GPT-4, repetitive task automation, OpenAI's dominance, context tasking, language models, AI workflow automation, technical limitations, task mode, 2025 AI predictions, Everyday AI, task manager interface, GPT-4 o, Jordan Wilson, podcast "Everyday AI", Cisco AI Defense, Apple Intelligence, advanced task schedules, task notifications.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Last year, I said don't touch the free version of ChatGPT with a 10-foot pole. Is it still THAT bad? A TON has changed since OpenAI's '12 days of Shipmas' in December. So is the free version of ChatGPT better? Or, are the new paid-only features TOO good to pass up?
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. ChatGPT Features and Plans
2. Alternatives to ChatGPT
3. Shift in OpenAI's Goals
4. Updates from OpenAI
5. Model Usage and Limits
6. ChatGPT Advice and Recommendations
Timestamps:
03:00 Daily AI news
06:30 ChatGPT free vs. Paid
08:18 Free ChatGPT version significantly improved model performance.
10:00 Free ChatGPT is decent but not superior.
15:03 They aim to replace Google with AI chatbots.
17:22 Custom instructions streamline limited ChatGPT use.
20:21 Canvas Mode enables inline AI document editing.
25:44 Addressing ChatGPT questions; submit queries anytime.
28:39 Google VO 2 superior; limited access available now.
30:18 Free ChatGPT improved, but Plus requires payment.
34:31 Google AI Studio: powerful, free, data-trained trade-off.
37:40 Free ChatGPT exists, full features require payment.
40:48 Google AI Studio best for literature reviews.
44:33 Free version useful, but paid plan recommended.Keywords:
ChatGPT, OpenAI, Everyday AI podcast, AI developments, AI news, AI infrastructure, AI use risks, AI applications, large language models, ChatGPT plans, GPT-4, ChatGPT free version, ChatGPT Pro, ChatGPT Plus, AI for business, AI data security, Gemini 2, Claude 35 SONET, GPT-4o, Anthropic, Google AI Studio, Meta Lama, Microsoft Copilot, Typing Mind, Microsoft CoreAI, model training, DALL-E Image Generator, Canvas Mode, AI chat tools, context windowsReady for ROI on GenAI? Go to youreverydayai.com/partner
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Is 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.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI Robotics Department
2. NVIDIA's AI Projects and Tech
3. Google's AI Updates and AGI shift
4. Microsoft's Open Source Model
5. Meta speaks on AI and Software Engineering
Timestamps:
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.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Do 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.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. CES Highlights
2. Top Companies at CES
3. Observations from CES
Timestamps:
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 -
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Your 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.
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Join the discussion: Ask Jordan and Barr questions on AI and data
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. the Importance of Data
2. Challenges and Opportunities in Leveraging Data
3. Adoption of Data Practices
4. Data Use Case Examples
5.Generative AI, LLMs, and Data Integration
Timestamps:
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. -
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Meetings. 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.
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Join the discussion: Ask Jordan and Philip questions on AI transcription
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. AI Transcription Benefits
2. Whisper Model by OpenAI
3. Cost of Transcription
4. Business Applications for AI Transcription
Timestamps:
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 workReady for ROI on GenAI? Go to youreverydayai.com/partner
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Did Google dethrone OpenAI in December? Could Claude finally catch up? Or will ChatGPT reign supreme in the LLM race of 2025? We break down the LLM landscape in 2025.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI’s Dominance in LLM Space
2. Shift Towards Smaller Language Models
3. LLMs and Internet Connectivity
4. OpenAI's Focus and Competition
5. Popularity of Different AI Systems
6. LLM Predictions and Outcomes
Timestamps:
00:00 Discussing future competition in AI development.
02:20 Daily AI news
08:49 Importance of large language models in daily life.
10:31 Who will win AI race: OpenAI, Google, others?
16:30 Focus will shift to business value in 2025.
17:20 New AI models surpass human intelligence benchmarks.
23:13 Chat GPT search frequently stuck in loop.
26:06 OpenAI loses money, key staff, needs resources.
27:51 Listen to WorkLab podcast for AI insights.
30:54 ChatGPT dominates due to user interest.
34:46 Google hid AI tech, affecting market value.
38:03 ChatGPT's interface outpaces stagnant competitors' features.
42:49 Locally run massive models, GPT advancements impressive.
45:09 OpenAI excels in small language models locally.
48:33 Google's groundbreaking December 2024 in AI technology.
Keywords:
OpenAI, ChatGPT, Google Trends, AI systems, Gemini, Perplexity, Claude, large language models, front-end dominance, internet connectivity, ChatGPT search, financial challenges, competition, AI strengths, user data, Microsoft WorkLab Podcast, model parameters, Meta, GPT-4, NVIDIA, small language models, Edge AI, AI race, Everyday AI podcast, Microsoft investment in India, Google DeepMind, NVIDIA RTX 50 series GPU, artificial intelligence, AI knowledge, reasoning models. -
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Sam Altman JUST said that AI agents may "join the workforce' in 2025. Just hype? Or a preview of our near future? Tune in to find out about the OpenAI CEO's latest projections and a TON of other AI news that will impact how you work.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Meta & AI Content
2. OpenAI Media Manager Delay
3. Microsoft's AI Model Research
4. OpenAI's AGI Progress
5. Grok 3 Model Release Delay
6. AI Implementation in Consumer Products
Timestamps:
00:00 OpenAI plans AGI workforce integration by 2025.
04:34 OpenAI preparing for AI workforce integration
08:13 AI agents entering workforce; OpenAI release anticipated.
13:27 Meta halted AI profiles over user concerns.
17:26 Elon Musk's Grok 3 model faces delays.
19:04 Grok AI depends too much on Twitter.
23:23 Generative AI blends and transforms copyrighted content.
25:07 Microsoft invests $80B in AI infrastructure 2023.
30:02 AI model size comparison: Claude, OpenAI, GPT-4.
31:47 Smaller models enable device storage, easing privacy concerns.
35:24 OpenAI pursuing AGI; AI developments face delays.
Keywords:
Meta, AI content, ethical issues, AI-synthesized data, social media scraping, OpenAI, media manager tool, IP concerns, legal challenges, opt-out methods, generative AI, copyright issues, AI training, Microsoft, AI investment, AI model research, model parameters, Claude 3.5 SONNET, GPT-4, AI model size, on-device processing, AGI, AI Agents, Elon Musk, GROC 3, CES, AI advancements, Samsung, AI-enabled fridges, LGReady for ROI on GenAI? Go to youreverydayai.com/partner
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If we can barely keep up with AI's pace, how do we prepare our kids? Dan Fitzpatrick, Founder and Co-Director of The AI Educator, joins us to discuss where to start.
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Join the discussion: Ask Jordan and Dan questions on AI and the next-generation
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Current Education System
2. Resistance to AI in Education
3. AI's Role and Impact on next-gen
4. Alternative Education Methods
5. Skills Gap and AI Integration
6. Role of Parents in Children's AI Usage
Timestamps:
00:00 Preparing children for an AI-driven future.
05:13 NVIDIA powers AI, invests heavily, faces competition.
09:28 Future skills gap and educational inequality concerns.
12:10 Education must adapt to teach AI collaboration.
15:12 Schools restrict Internet; education lacks innovation competition.
19:00 Advanced technologies emerging, awareness lacking in schools.
23:27 Emerging educational alternatives challenge traditional schooling.
24:24 Rising homeschooling due to dissatisfaction, debt concerns.
28:52 Tech remains peripheral; individual innovators self-train.
31:18 Explore AI with your children collaboratively engaging.Keywords:
Dan Fitzpatrick, education system, house of cards, modern societal needs, Jordan Wilson, Chat GPT moment, AI in education, educational technology, teacher workloads, apathy towards new technology, AI chatbots, Infinite Education, online schooling, AI tutors, Synthesis, homeschooling, AI Impact on Home and Education, Preparing Children for AI, Everyday AI, Russia-China AI Collaboration, Elsevier Journal Resignation, NVIDIA's AI Investment, decentralization of education, private schools, public schools, teacher training, parental control, AI exposure, collaborative activity, future workforce rolesReady for ROI on GenAI? Go to youreverydayai.com/partner
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Just in the past 3 weeks, we've seen enough AI releases for like 3 years. But what AI features and tech tools are actually worth using? We recap and rank the top AI features and tools of 2024.
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Join the discussion: Ask Jordan questions on AI
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Top AI Tools and Features Discussion
2. AI Tools of the Year & Rankings
3. In-depth Discussion of Specific Tools
4. AI Industry Overview
Timestamps:
00:00 Network with tech professionals; explore AI tools.
10:16 Share show for AI tools honorable mention.
12:32 Siri uses ChatGPT for complex queries.
18:09 Inline AI enhances collaborative document editing efficiently.
23:23 ChatGPT search tool flawed after limited beta.
31:06 Cursor went viral as first user-friendly AI.
34:52 Google excelled with Gemini 2.0 updates.
37:56 Google deep research: fast, comprehensive answers engine.
46:17 Use Microsoft 365 Copilot Studio for automation.
50:03 Microsoft Copilot Vision simplifies travel bookings. Limited.
55:32 Iterative prompting guides advanced language models.
01:02:47 Gemini app enables video and voice interaction.
01:07:42 Google's Veo AI video tool released, concerns remain.
01:13:52 Notebook LM prioritizes trust and transparency in AI.
01:15:49 Top AI tools and features 2024 list.
Keywords:
Jordan Wilson, live stream, AI tools ranking, people's choice award, Midjourney v6.1, Microsoft Copilot Studio, Copilot Vision, Notebook LM, Sora, Veo 2, Zapier Agents, AI tool tiers, podcast, AI developments, generative AI, AI tool selection, AI tool ratings, AI 2024, audience participation, Claude's Artifacts, Claude Computer Use, Cursor AI, 11 Labs conversational agents, Google Gemini 2.0, Google Deep Research, HeyGen's new v3 avatars, AI in documents, Canva's Magic Studio, Chat GPT's new search, OpenAI's 01 Pro.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Yeah, Google won the end of 2024 in the AI wars. But they've dropped the bag more times than any other Big Tech or AI startup. In our last Hot Take Tuesday of 2024, we're gonna break down the $1 trillion dollar mistake that Google made (well.... 5 of them) and examine if they can bounce back in 2025.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Google AI
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Google's AI Missteps
2. Comparison with Competitors
3. OpenAI's Marketing Strategy and Product Release
4. Google's AI Products and Improvements
5. Google's AI Strategy and Adjustments
Timestamps:
00:00 Google's AI missteps
02:40 Daily AI News
08:29 Deeply invested in AI models and documentation.
10:28 Google fumbled AI strategy with Gemini disaster.
15:21 Google admits demo of Gemini AI was staged.
19:36 Full access: settings on for Google Gemini.
20:18 Trust, transparency crucial for AI enterprise adoption.
26:20 Google's early AI mistakes highlighted competitors' success.
28:41 Unclear model version until recent update.
31:49 Nontechnical leaders explore AI models in enterprises.
36:52 NotebookLM is essential and highly underrated.
37:39 Logan joined Google, boosting AI product management.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Google is using Claude to improve Gemini? Why is OpenAI looking at building humanoids? What does a $100 billion price tag have to do with AGI?
AI news and big tech didn't take a holiday break. Get caught up with Everyday AI's AI News That Matters.
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Impact of Large Language Models
2. Google's AI Strategy
3. OpenAI's Restructuring and Robotics Research
4. AI Manipulation and Concerns
5. AGI and its Valuation
6. DeepSeek's Open-Source Model
7. Meta's AI Plan for Social Media
Timestamps:
00:00 Open-source AI competes with proprietary models.
04:21 DeepSeek v3: Affordable, open-source model for innovators.
07:39 Meta expands AI characters, faces safety risks.
10:42 OpenAI restructuring as Public Benefit Corporation (PBC).
17:04 Google compares models; Gemini flagged for safety.
19:40 Models often use other models for evaluation.
21:51 Google prioritizes Gemini AI for 2025 growth.
26:29 Google's Gemini lagged behind in updates, ineffective.
31:17 AI's intention economy forecasts, manipulates, sells intentions.
35:13 Hinton warns AI could outsmart humans, urges regulation.
39:24 Microsoft invested in OpenAI; AGI limits tech use.
40:36 Microsoft revised AGI use agreement with OpenAI.Keywords:
Large Language Models, Google’s AI Focus, Gemini language models, AI evaluation, OpenAI Robotics, AI Manipulation Study, Anticipatory AI, Artificial General Intelligence, DeepSeek, Open-source AI, B3 model, Meta, AI Characters, Social Media AI, OpenAI corporate restructuring, Public Benefit Corporation, AI investment, Anthropic's Claude AI, AI Compliance, AI safety, Synthetic Data, AI User Manipulation, Geoffrey Hinton, AI risks, AI regulation, AGI Valuation, Microsoft-OpenAI partnership, Intellectual property in AI, AGI Potential, Sam Altman.Ready for ROI on GenAI? Go to youreverydayai.com/partner
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Google just dropped its 'Flash Thinking' reasoning model. Is it better than o1?
↳ Why is NVIDIA going small?
↳ And OpenAI announced its 03 mode. Why did it skip o2?
↳ ChatGPT's Advanced Voice Mode gets a ton of updates. What do they do?
Here's this week's AI News That Matters!
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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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Google AI Models and Updates
2. ChatGPT Updates
3. ChatGPT Advanced Voice Mode
4. OpenAI's New Reasoning Model
5. Salesforce AI Updates
6. NVIDIA Jetson Orin Nano
7. Meta's Ray-Ban Smart Glasses
Timestamps:
00:00 Daily AI news podcast and newsletter subscription.
05:06 Gemini 2.0 Flash tops in LLM rankings.
07:36 Ray Ban Meta Glasses: AI video, translation available.
11:17 Salesforce hires humans to sell AI product.
14:26 NVIDIA's Nano Super boosts AI performance, affordability.
18:29 VO 2 excels with 4K quality physics videos.
23:17 AI models can deceive by faking alignment.
24:50 Anthropic study highlights AI system behavior variability.
29:40 Google previews AI-mode search with chatbot features.
32:38 Big publishers block access; tech must adapt.
37:32 ChatGPT updates improve app integration functionality.
|40:40 O Three models enhance AI task adoption.
44:09 Current AI hasn't achieved AGI, needs tool use.
45:52 O three model may achieve AGI, costly access.
48:17 Share our AI content; support appreciated.
Keywords:
Google AI Mode, Gemini AI chatbot, refining searches, ChatGPT updates, OpenAI, AI integration in search engines, Salesforce AgentForce 2.0, Capgemini survey, AI security risks, NVIDIA Jetson Orin Nano, Edge AI, Google VO 2, video generation model, YouTube Shorts, AI alignment faking, Anthropic research, Google's Gemini 2.0 Flash Thinking, multimodal reasoning, Meta's Ray-Ban Smart Glasses, real-time language translation, Shazam integration, OpenAI 03 reasoning model, artificial general intelligence, ARC AGI benchmark, AI capabilities, high costs of AI, Google updates, Meta updates, Salesforce updates, NVIDIA updates.Ready for ROI on GenAI? Go to youreverydayai.com/partner
- Visa fler