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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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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 roles

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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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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.

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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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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.

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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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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. DeepSeq'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.

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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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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.

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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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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.

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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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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.

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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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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.

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