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. 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.

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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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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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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.

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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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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 capabilities

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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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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.

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o1 Pro?
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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Topics Covered in This Episode:

1. Expansion of OpenAI's Reinforcement Fine Tuning Research Program
2. Updates to Canvas in OpenAI's ChatGPT
3. Google's AI advancements including Gemini 2.0 Flash
4. Google's deep research tool and its market implications
5. Day 1 of OpenAI's 12-day feature release event
6. O1 model and Chat GPT Pro announcement
7. Predictions on further premium features in AI plans
8. Canvas and ChatGPT integration
9. Siri and ChatGPT integration in Apple's devices
10. Discussion on Sora, OpenAI's text-to-video model
11. Limitations and the future of Sora's availability
12. Account tiers and upgrade limitations in OpenAI's offering
13. Competitive landscape: OpenAI, Google, and Gemini
14. Opinion on Google's market strategy
15. Personal user experience with Google's deep research tool
16. Predictions about OpenAI's upcoming releases

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, ChatGPT Pro, Gemini 2.0

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You think AI is a technical implementation? 🤔
 
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.

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Topics Covered in This Episode:

1. Misconceptions about AI scaling as a technical challenge
2. Introduction to Lenovo's AI Center of Excellence
3. Importance of defining business outcomes in AI implementation
4. AI as a people-first challenge and its implications
5. The 'unlearning' concept in AI adaptation
6. The impact of AI on productivity and workforce
7. Importance of transparency in AI adaptation
8. Discussing Lenovo's internal AI use case (Studio AI)
9. Future predictions for AI: on-device AI and multi-agent environments
10. AI's impact on the future of work
11. Concepts of responsible AI
12. Brief overview of Lenovo's AI policy and governance committee.

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 Kreuser 

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