Эпизоды
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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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Website: YourEverydayAI.com
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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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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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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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More on this Episode: Episode Page
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 workLearn how work is changing on WorkLab, available wherever you get your podcasts.
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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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Website: YourEverydayAI.com
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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. -
Send Everyday AI and Jordan a text message
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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Website: YourEverydayAI.com
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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, LGLearn how work is changing on WorkLab, available wherever you get your podcasts.
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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
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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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 rolesLearn how work is changing on WorkLab, available wherever you get your podcasts.
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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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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. 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.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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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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Join the discussion: Ask Jordan questions on Google AI
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. 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.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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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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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. 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.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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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.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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GenAI is revolutionizing healthcare, driving innovation in patient outcomes, provider support, and operational efficiency. But with new technology come challenges: What hurdles stand in the way of adoption? We’ll explore the transformative potential of GenAI, the real-world obstacles, and how it’s redefining the future of medicine with William Horton, Staff Machine Learning Engineer at Included Health.
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Join the discussion: Ask Jordan and William questions on AI in Healthcare
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 Usage in Healthcare
2. Opportunities and Concerns of AI in Healthcare
3. Future of Healthcare with AI
4. Challenges in U.S. healthcare
5. System Integration and Data Interoperability
Timestamps:
00:00 Google integrates Gemini AI into search functionality.
04:04 Gemini 2.0 allows multimodal interactions, competitor.
08:57 Gen AI advances in healthcare administration and care.
11:05 HIPAA ensures data protection with BAAs.
13:23 Reducing physician burnout by minimizing administrative tasks.
18:37 Virtual triage by intelligent bots for symptoms.
22:33 AI parallels self-driving cars: apprehensive adoption persists.
25:54 Using AI for personal health data analysis.
28:26 AI privacy concerns impact doctor-patient conversations.|
31:24 AI, personal data, and healthcare integration trend.
33:08 AI empowers patients, despite valid fears.
Keywords:
AI in healthcare, Jordan Wilson, youreverydayai.com, healthcare podcasts, AI tools in healthcare, audience engagement, ChatGPT, Claude, Gemini, AI medical diagnostics, AI in healthcare challenges, privacy concerns with AI, HIPAA compliance, virtual healthcare, wearable technology, AI and patient empowerment, AI and healthcare system improvement, physician shortages, telemedicine, AI-based triage, AI medical scribing, multimodal models in healthcare, data interoperability in healthcare. healthcare industry standards, FHIR, Google Gemini, OpenAI, William Horton, Included Health, machine learning in healthcare.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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AI is just for keyboard smashers, right? Not really. When it comes to Generative AI, there might be another vertical ripe for disruption: frontline workers. How can Generative AI make their lives a bit easier? AI Lagunas, Co-Founder of Levee, joins us to discuss.
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Join the discussion: Ask Jordan and AI 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. Al Lagunas's Background
2. The Levee App
3. Challenges and Solutions in Automating Tasks with AI
4. Technology Adoption
5. Use of AR/VR in Employee Training
6. Gen AI's Role for Frontline Workers
Timestamps:
00:00 Generative AI's impact on frontline workers discussed.
03:29 AI models may deceptively mislead developers' intentions.
09:30 Product not suited for hotel workers' needs.
12:44 Big brands ensure consistent guest experience standards.
13:52 Helping housekeepers maintain room standard efficiently.
19:19 Addressing blue-collar labor shortages with software.
20:11 Gather data, use AI tools, support workers.
26:25 Deploying user-friendly tech for frontline workers.
29:30 "Early investment foresight enabling AR/VR advancements."
31:32 Educate users creatively, using gamification incentives.
34:40 Gen AI simplifies routine tasks for efficiency.
Keywords:
Al Lagunas, IME sensors, smart cleaning model, hotel cleaning tools, DoubleTree, hotel room cleaning, Levee app, AI for cleanliness verification, brand standards, Marriott, Hilton, housekeeping workload, Jordan Wilson, intrusive technology, AI for mindless tasks, worker shortage, new job opportunities, AI integration, hardware adoption, AR/VR glasses, employee training, AI adoption resistance, hotel operations efficiency, labor shortages, robotics and AI, Gong sales process, generative AI, Gen AI, Levy fundraising, AI for frontline workers.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Perplexity Killer: Google Gemini's Deep Research? (Also, is it weird saying that a trillion dollar tech behemoth is the one threatening the startup? lolz). 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:
02:05 Daily AI news
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.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Is ChatGPT's new 'Projects' mode a game-changer? Or just a polished imitation of Projects from Anthropic's Claude? Welp.... there's a lot more than meets the eye.
We've given ChatGPT's new Projects mode a deep test, to bring you 3 time-saving hacks we figured out.
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Join the discussion: Ask Jordan questions on ChatGPT
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Breakdown of ChatGPT's Projects Mode
2. Pros and Cons of ChatGPT Projects
3. ChatGPT Misconceptions
4. Custom GPTs vs. Projects
5. ChatGPT Projects vs. Claude Projects
Timestamps:
02:00 Daily AI News
06:17 ChatGPT Projects: Usage tips and unpublicized hacks.
10:12 Folders for organizing chats now available.
12:54 Prefers project-level custom instructions over global ones.
16:10 GPTs top, projects middle, chats bottom, files limited.
18:21 Custom GPTs vs Projects: personalization vs. workflow management.
22:40 Claude: Longer context, limited chat integration.
24:39 GPT model can be changed; use workaround.
27:35 Attach project files in designated "add files" area.
30:58 ChatGPT now uses uploaded files for queries.
36:30 Using GPT-4o mode efficiently for projects.
38:33 Manually upload chats as project files for context.
40:30 Be cautious of AI hallucinations, improve prompts.
43:46 Use one document for chat context updates.
Keywords:
Jordan Wilson, Everyday AI, ChatGPT, Projects Mode, OpenAI, AI advancements, Salesforce Agent Force 2.0, ChatGPT Search Update, Google Video Generation - VO 2, livestream, organization, workflow improvement, Audience Engagement, livestream tutorials, prompt engineering, ChatGPT Chrome extension, custom instructions, AI hallucinations, AI for business, document handling, GPTs vs Projects, Claude Projects, organized chats, project management tips, transcript upload, business automation, buggy systems, model limitations, model cloaking hack, project customization.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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Did you see Google quietly released real-time AI. Apple might be coming out with the cheapest AI phone to date. And OpenAI and Google were like two heavyweights going 12 rounds, blow for blow with new AI releases. Yikes. We bring you the AI news that matters.
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. OpenAI Updates
2. Apple Intelligence Update
3. Eric Schmidt on AI
4. Klarna's Use of AI
5. Google AI updates
6. Microsoft AI models
Timestamps:
00:00 AI week: OpenAI vs. Google updates battle.
06:16 New chat tool added, Python only, limitations.
09:53 OpenAI's ChatGPT launches project organization features.
11:05 Create chats, access documents, update projects easily.
16:50 Eric Schmidt concerns self-improving AI, suggests monitoring.
19:27 Klarna still hiring, despite AI job replacements.
21:49 Devon enhances code workflow with automated tasks.
24:45 Future: Specialized small models using synthetic data.
31:03 Sign up for Google's trusted tester program.
34:27 Google's Android XR: Smart glasses with AI assistant.
37:03 Google launches NotebookLM Plus with paid tier.
40:30 Google's Project Mariner: AI web navigation extension.
41:53 Only works in active Chrome tabs.
47:35 Google AI Studio offers advanced features now.
48:35 Become your company's AI expert; share widely!Keywords:
OpenAI, ChatGPT, projects feature, Apple Intelligence Update, Siri, Eric Schmidt, AI innovation, Klarna, workforce automation, Cognition's Devon, Microsoft's PHI 4, Gemini 2.0, Google Agent Space, Project Astra, Android XR, NotebookLM Plus, Project Mariner, Jordan Wilson, AI podcast, Notebook LM audio feature, Deep Research, Perplexity, Google AI Studio, advanced voice mode, Everyday AI, AI week, Sora, Canvas tool, video generation, screen share capabilitiesLearn how work is changing on WorkLab, available wherever you get your podcasts.
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Humans get licensed. Doctors. CPAs. Beauticians. As they increase in agency, should AI agents have to get licensed as well? Dr. Denise Turley joins us to discuss.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Dr. Turley questions on AI agents
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. Licensing AI agents
2. AI agents' functionality and limitations
3. Regulatory aspects of licensing AI agents
4. Complexity of Integrating AI
Timestamps:
00:00 Should AI be licensed like human professionals?
05:35 Safeguarding AI: Implementing necessary guardrails and licensing.
07:33 Autonomous agents' power versus responsibility explored.
12:53 Agents as workforce require careful management now.
16:02 AI offers friendly, empathetic interactions, but risks persist.
19:40 Ensure lifecycle testing and evaluate AI output consistently.
21:46 AI will transform daily life and interactions.
24:38 Ways AI can assist in daily life
Keywords:
AI Avatars, Professional Settings, AI Skill Management, Medical Advice from AI, AI Misdiagnosis, Licensing AI Agents, Quality of AI Services, Oversight of AI, AI Relicensing, AI Intelligence, Human Supervision of AI, Robots at Home, Medical Treatment by AI, Trust in AI, AI for Driving, AI in Homes, AI and Human Connection, Licensing AI Agents, Human Interaction with AI, AI Accountability, AI Safety, Ensuring Human Interest, AI Agent Certification, Business use of AI, Virtual AI Human Cell, AI Capability Enhancement, Use of AI at US Chamber of Commerce, AI Rollout, Balance between AI Autonomy and Accountability, Personal Relationship with AI.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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o1 Pro?
Expansion of OpenAI's Reinforcement Fine Tuning Research ProgramUpdates to Canvas in OpenAI's ChatGPTGoogle's AI advancements including Gemini 2.0 FlashGoogle's deep research tool and its market implicationsDay 1 of OpenAI's 12-day feature release eventO1 model and Chat GPT Pro announcementPredictions on further premium features in AI plansCanvas and ChatGPT integrationSiri and ChatGPT integration in Apple's devicesDiscussion on Sora, OpenAI's text-to-video modelLimitations and the future of Sora's availabilityAccount tiers and upgrade limitations in OpenAI's offeringCompetitive landscape: OpenAI, Google, and GeminiOpinion on Google's market strategyPersonal user experience with Google's deep research toolPredictions about OpenAI's upcoming releases
Sora?
Apple Intelligence?
Canvas coding?
Huh?
We're only halfway through OpenAI's '12 Days of OpenAI' yet everyone's favorite AI chatbot has already gotten a facelift in a half.
Can't keep up?
Confused with what's been announced so far?
Join us live, and we'll break it all down.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on the OpenAI updates
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:
Timestamps:
00:00 Google dominates AI news with significant updates.04:46 Gemini 2.0 powers AI for web interactions.
06:55 Google's Astra app: multilingual, memory, screen sharing.
12:55 O one excels in data-intensive fields.
14:17 Premium AI plans will cost hundreds monthly.
16:58 Using large language models for initial thinking.
21:19 Affordable AI simplifies costly advertising campaigns greatly.
24:29 AI storyboard improves video coherence control.
28:01 Simplified model tuning clarity over cost, complexity.
30:38 Sponsor show for coffee mentions; Canvas updates.
34:25 Canvas now available in GPT for free users.
36:16 Interactive writing and coding with ChatGPT Canvas.
41:12 Prefers Google voice over Apple Siri/Alexa.
45:09 Google Gemini front end gets crucial updates.
48:41 OpenAI to release ChatGPT projects and voice updates.
49:28 Upcoming GPT model with internet and upload capabilities.
Keywords:
Reinforcement Fine Tuning Research Program, custom AI model development, reinforcement learning, reward-driven loops, specialized models, narrow domains, OpenAI, Canvas in ChatGPT, Python code in GPT, collaborative writing with GPT, CLearn how work is changing on WorkLab, available wherever you get your podcasts.
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You think AI is a technical implementation? 🤔
Misconceptions about AI scaling as a technical challengeIntroduction to Lenovo's AI Center of ExcellenceImportance of defining business outcomes in AI implementationAI as a people-first challenge and its implicationsThe 'unlearning' concept in AI adaptationThe impact of AI on productivity and workforceImportance of transparency in AI adaptationDiscussing Lenovo's internal AI use case (Studio AI)Future predictions for AI: on-device AI and multi-agent environmentsAI's impact on the future of workConcepts of responsible AIBrief overview of Lenovo's AI policy and governance committee.
Nope.
It's about the people.
Join Jordan and Lenovo's Rick Kreuser to find out why scaling AI is actually a people first challenge, not a technical one.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Rick 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:
Timestamps:
00:00 Visit website for free AI content and resources.04:24 Start AI with a clear outcome in mind.
07:21 Embrace AI to transform and enhance work.
11:52 Leadership alignment is crucial for AI implementation.
14:20 Personal productivity successes not always shared internally.
19:30 Organizations must consider the human side when scaling AI.
21:10 AI now dominates US market's top companies.
24:32 On-device AI becomes accessible; alternatives emerge.
27:04 Sign up for informative AI newsletter recap.
Keywords:
Scaling AI, technical challenge, generative AI, inference cost, organization, people first challenge, AI in businesses, daily podcast, livestream, AI content, AI news, AI center of excellence, leadership, productivity, efficiency, Lenovo, technology, security, process, responsible AI, AI discover, AI policy, governance, AI outcomes, AI deployment, on-device AI, language models, motorola, business strategies, AI journey
Ep 420: Why scaling AI is a people-first challenge with Lenovo's Rick KreuserLearn how work is changing on WorkLab, available wherever you get your podcasts.
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❓ Will AI take my job?
AI News Rapid-Fire Audience QuestionsAI Fears and ApprehensionsEmail Management with AIEveryday AI's Future PlansAI Use in Podcast PlanningAI Effects on Human InteractionsAI in Email ManagementAI tools Usage and PreferencesEveryday AI Team DynamicsAI Use on the WebAI Free MarketOpenAI Future AnnouncementsAI Trends and ModelsAI Model Testing and PreferencesSora Processing Plan
❓ What AI skills are most important?
❓ How should my company be planning our LLM strategy?
❓ Are you an AI bot?
I've talked to hundreds of the smartest people in the world on AI and asked them all of the burning questions.
We're flipping the tables with this episode -- you can put ME on the hot seat.
Get your questions in now, and I'll be answering them live on this special edition of Everyday AI.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
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:
Timestamps:
00:00 Sign up for daily newsletter, Meta's nuclear AI.06:12 Technical difficulties prevented planned live Q&A.
08:22 Transitioning to Windows to use AI for emails.
12:05 Relying on sponsors, podcast not profitable.
16:25 Prefers MeetGeek and Otter over Google Gemini.
19:19 Ensure guests fill form; use narrowed GPT.
24:02 AI content ubiquitous; human connection remains irreplaceable.
25:55 AI replacing human interaction may become normal.
27:43 Expect more value soon from $200 plan.
33:14 Primarily uses 3.5 SONNET; plans testing Nova.
34:28 Haven't tried Sora $200 plan yet due to busyness.
40:13 Everyday AI: Learn, collaborate, and explore together.
40:47 Join live stream, newsletter for AI updates.
Keywords:
Everyday AI, Jordan Wilson, OpenAI, Google, Microsoft, Meta, nuclear energy, AI projects, quantum computing, Willow chip, Sora video tool, technical difficulties, live stream, audience questions, AI in email management, LinkedIn, AI concerns, AI future, AI accessibility, AI in communication, AI in human experience, AI tools, Chat GPT, CoPilot, AI-free services, Artificial General Intelligence (AGI), AI in entertainment, AI in gaming, custom GPTs, notebook LM.Learn how work is changing on WorkLab, available wherever you get your podcasts.
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No joke.... this has been the busiest week in GenAI news. Ever.
Amazon -- releases frontier models.
Meta -- brings us a new Llama.
OpenAI -- new models and features
Google -- shipping AI literally everywhere
What happened? Why is all of this happening now? We'll dive in, and make you the smartest person in AI at your company.
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: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Amazon AI Developments
2. Eleven Labs Voice Agents
3. Microsoft AI Developments
4. Google AI Model Updates
5. xAI Updates
6. OpenAI's Latest Releases and Plans
7. Meta's Llama 3.3 Model
6. OpenAI-Microsoft Relationship
Timestamps:
03:00 OpenAI o1 Pro: Elevated AI, exclusive, costly.
08:14 Copilot Vision provides insights, prioritizes privacy, feedback-driven.
11:58 Gemini surpasses OpenAI GPT-4 in leaderboard.
13:58 Google DeepMind outperforms ENS weather, AI advancements
19:47 Amazon's model surpasses OpenAI's context window.
22:27 Amazon quickly reaches top-tier model status.
24:33 11 Labs platform: multilingual AI for customer interaction.
29:12 Musk criticizes OpenAI, joins government, impacts technology.
33:24 OpenAI discusses removing AGI access clause with Microsoft.
34:51 OpenAI's redefined AGI criticized by Elon Musk.
40:47 A sneaky release of a semi-open model.
44:51 Advanced voice mode updates, some features rumored.
46:47 OpenAI announces operator preview, waitlist expected.
Keywords:
Jordan Wilson, everydayai.com, Amazon Frontier model, ChatGPT, AWS, Nova Canvas, Nova Reel, Anthropic, Eleven Labs, David Sachs, Microsoft Gemini Live, Microsoft Copilot Vision, Google Gemini 1206, Google Gencast, Google Veo, Google Genie 2, Sundar Pichai, XAI, Elon Musk, OpenAI o1 pro model, ChatGPT Pro, AGI definition, Meta Llama 3.3 model, OpenAI-Microsoft relationship, OpenAI public benefit corporation, OpenAI restructuring, AI regulations, Department of Government Efficiency, Large language models, AI developmentLearn how work is changing on WorkLab, available wherever you get your podcasts.
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