Everyday AI Podcast – An AI and ChatGPT Podcast

Perplexity is pivoting hard... and we like it.

The New York Times (even amidst its fight with Big AI) just partnered with a big AI company.

And Google Gemini just got a lot better for workspace users, and you won't have to lift a finger.

AI got a lot more useful this week. 
Join us to find out how it's changing how we work.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Perplexity's Agentic Mode Launch Overview
2. New Google Gemini Updates for Workspace
3. Perplexity Labs' Reporting Tools Explained
4. Robot Launch: Hugging Face Ricci Mini
5. AI Missteps in Government Healthcare Report
6. Amazon & New York Times AI Partnership
7. Eleven Labs' Conversational AI Update
8. Anthropic CEO on AI Job Displacement

Timestamps:
00:00 "Perplexity Labs: AI-Powered Analytics Revolution"

06:35 "AI Slide Creation Breakthrough"

10:56 "Affordable Open-Source Robot for Developers"

14:24 Admin Control on Workplace Summaries

15:11 "Google Drive's New AI Summarization"

20:56 "AI Strategy and Growth Solutions"

24:00 NYT Sues OpenAI and Microsoft

26:12 "Survival Strategies for Media Outlets"

30:41 Black Forest Labs Challenges AI Giants

35:07 AI Revolution in Call Centers

36:01 Advanced Multilingual Conversational AI System

39:33 Apple Shifts Focus Away from AI

43:07 Apple's AI Projects and Challenges

48:02 Tech Innovations: Robotics, AI, Workspace Updates

49:17 AI Job Threats Highlighted

Keywords:
Perplexity Labs, Perplexity agentic mode, conversational search engine, AI-driven research, Perplexity Labs Pro, Mac and Windows apps, customizable dashboards, deep research mode, Claude artifacts, Google Gemini, email summary cards, AI-powered email summaries, Gmail AI update, Google Drive video summarization, Google Workspace, US Department of Health and Human Services, generative AI citations, The New York Times, Amazon AI deal, Alexa update, AI foundation models, Eleven Labs, conversational AI 2.0, enterprise voice agent, AI turn-taking model, multilingual conversations, Anthropic CEO, AI job displacement, white collar jobs, Apple WWDC conference, Apple AI gap year, Black Forest Labs, Flux one context, generative AI image editing, financial predictions

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We only talk about the upside of agentic AI.

But why don't we talk about the risks? 

As AI agents grow exponentially more capable, so too does the likelihood of something going wrong.

So how can we take advantage of agentic AI while also addressing the risks head-on? 

Join us to learn from a global leader on Responsible AI. 

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Topics Covered in This Episode:

1. Responsible AI: Evolution and Challenges
2. Agentic AI's Ethical Implications
3. Multi-Agentic AI Responsibility Shift
4. Microsoft’s AI Governance Strategies
5. Testing Multi-Agentic Risks and Patterns
6. Agentic AI: Future Workforce Skills
7. Observability in Multi-Agentic Systems
8. Three Risk Categories in AI Implementation

Timestamps:
00:00 Evolving Challenges in Responsible AI

05:50 Agent Technology: Benefits and Risks

09:27 Complex System Governance and Observability

12:26 AI Monitoring and Human Intervention

15:14 Essential Testing for Trust Building

19:43 Securing AI Agents with Entra

22:06 Exploring Human-AI Interface Innovation

26:06 AI Workforce Integration Challenges

28:22 AI's Transformative Impact on Jobs

Keywords:
Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.

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We're so quick to give AI access to see the world around us, but what are the dangers? And what are some powers that you're not aware of? We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics, joins us to discuss.

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Topics Covered in This Episode:
1. Power and danger of letting AI view your data
2. Quick emergence of live AI technology
3. Kill switch and intelligent data routing
4. Local compute and orchestration requirements

Timestamps:
00:00 AI Advances: Power and Privacy Concerns
05:34 Fulcra: Pioneers in Streaming Data Storage
08:09 "Hacker Cyborgs and AI Privacy"
12:08 AI Surveillance and Privacy Concerns
15:02 "Experimenting with Custom AI Assistant"
16:40 Calendar and Location Data Insights
21:46 "Smart Local Monitoring Strategies"
24:09 Miniature AI Models Revolutionize Technology
28:36 Experiment with Personal AI Control

Keywords:
Generative AI, AI technology, Google Gemini Live, Gemini's AI, AI agent, Microsoft Copilot Vision, personal data, privacy, data security, artificial general intelligence, superintelligence, live technology, AI observability, AI assistance, AI models, multimodal models, world models, local inference, edge AI, small language models, Frontier models, cloud-based models, Enterprise software, on-premise software, Cloud Software, AI Orchestration, Local Compute, Hardware, Biohacking, Personal Data Control

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Claude 4: Game-changer or just more AI noise? 

Anthropic's new Opus 4 and Sonnet 4 models are officially out and crushing coding benchmarks like breakfast cereal. 

They're touting big coding gains, fresh tools, and smarter AI agentic capabilities. 

Need to know what's actually up with Claude 4, minus the marketing fluff? Join us as we dive in. 

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Topics Covered in This Episode:

1. Claude 4 Opus and SONNET Launch
2. Anthropic Developer Conference Highlights
3. Anthropic's AI Model Naming Changes
4. Claude 4's Hybrid Reasoning Explained
5. Benchmark Scores for Claude 4 Models
6. Tool Integration and Long Tasks in Claude
7. Coding Excellence in Opus and SONNET 4
8. Ethical Risks in Claude 4 Testing

Timestamps:
00:00 "Anthropic's New AI Models Revealed"

03:46 Claude Model Naming Update

07:43 Claude 4: Extended Task Capabilities

10:55 "Partner with AI Experts"

15:43 Software Benchmark: Opus & SONNET Lead

16:45 INTROPIC Leads in Coding AI

21:27 Versatile Use of Claude Models

23:13 Claude Four's New Features & Limitations

28:23 AI Pricing and Performance Disappointment

32:21 Opus Four: AI Risk Concerns

35:14 AI Model's Extreme Response Tactics

36:40 AI Model Misbehavior Concerns

42:51 Pre-Release Testing for Safety

Keywords:
Claude 4, Anthropic, AI model update, Opus 4, SONNET 4, Large Language Model, Hybrid reasoning, Software engineering, Coding precision, Tool integration, Web search, Long running tasks, Coherence, Claude Code, API pricing, Swebench, Thinking mode, Memory files, Context window, Agentic systems, Deceptive blackmail behavior, Ethical risks, Testing scenarios, MCP connector, Coding excellence, Developer conference, Rate limits, Opus pricing, SONNET pricing, Claude Haiku, Tool execution, API side, Artificial analysis intelligence index, Multimodal, Extended thinking, Formative feedback, Text generation, Reasoning process, Lecture summary.

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AI went boom this week. 🤯

↳ Google announced their biggest AI updates ever at I/O.
↳ Microsoft unveiled dozens of AI updates at its Build conference.
↳ Anthropic unveiled Cluade 4 at its first conference.

And none of those are the biggest AI takeaways of the week. Sheeeeesh.

The implications on work are nutty.

What's new and how will it impact you? Listen to find out. 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Microsoft Copilot's Coding Autonomy Major Upgrade
2. Copilot Tuning for Enterprise Customization
3. Agent Foundry Launch by Microsoft Azure
4. Microsoft’s Multimodal Input & Workflow
5. Anthropic's Claude Opus 4 & Sonnet 4 Release
6. Claude's Ratting Feature Controversy
7. OpenAI's Operator AI Agent Upgraded
8. OpenAI Acquires Hardware Startup IO
9. Google IO's 100+ AI Feature Unveiling

Timestamps:
00:00 "Everyday AI: Streamlined Insights"

06:52 Microsoft's AI Innovations Unveiled

08:17 Copilot AI Automates Business Tasks

14:23 "Claude SONNET 4: Enhanced API Tool"

17:20 "Claude Four: Expensive but Improved"

21:23 AI Strategy Partnership Offer

25:06 Anthropic AI Raises Privacy Concerns

27:31 Anthropic's Ongoing AI Controversy

32:18 OpenAI's O-Three Model Expansion

34:34 OpenAI Acquires Jony Ive's Startup

36:39 Screen-Free, Context-Aware AI Device

40:51 Altman and Ive's Screenless AI Device

46:48 Google's $250 AI Ultra Subscription

51:45 "Google Flow Enhances AI Video Creation"

55:16 Massive AI Updates: OpenAI & Google

56:53 Daily AI Updates Await

Keywords:
AI developments, Google IO, Microsoft Build, AI conference, Copilot AI tools, Claude Opus 4, Claude Sonnet 4, AI updates, AI newsletter, business leaders, GitHub Copilot, autonomous coding partner, multimodal inputs, Copilot Tuning, AI customization, Azure agent foundry, multi-agent workflows, coding model, Anthropic AI, MCP protocol, OpenAI operator, Claude four, ratting behavior, AI hardware, Jony Ive, context aware device, AI video generator, v o 3, digital content authenticity, Google Project Mariner, AI autonomous agent, Gemini 2.5, video generation, AI Ultra subscription, screen free AI hardware, AI-driven workflows, real-time AI assistant, AI-powered applications, computer using agent, Anthropic backlash, Claude 4 Opus, Sam Bowman, AI alignment researcher, OpenAI acquisition

EP: 533 Google drops dozens of AI updates, Anthropic drops Claude 4, Microsoft unveils huge Copilot upgrades and more AI news that matters

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What happens when.... AI agents are everywhere?

To learn, we tapped into the insights from one of the leading voices in AI, Babak Hodjat, who's resume includes helping create the tech behind the original AI agents like Siri.

So, how do enterprises prepare for a multi-agent environment? Tune in and find out.

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Topics Covered in This Episode:
1. Understanding Agents and Large Language Models
2. Implementing Multi-Agent Systems
3. Hallucinations and Errors in AI Systems
4. Usage and Organization within Multi-Agent Environments

Timestamps:
00:00 "Rethinking Enterprise with Multi-AI Agents"
05:33 AI Agents Buzz at Davos
07:57 Code Execution via Agent Tools
10:03 Emerging Trend: Multi-Agent AI Integration
14:40 Responsible Multi-Agent System Design
19:35 Multi-Agent System Alignment Challenges
21:19 Resilient AI Through Redundancy
26:26 Generative AI Business Strategies
27:45 Rethinking Human-Device Interaction
31:16 Multi-Agent Enterprise Integration

Keywords:
Everyday AI, podcast, generative AI, agents, large language models, enterprise companies, multi agent environments, decision making process, Cognizant, Neuro AI, startup culture, agentic AI environments, technology services, AI first company, natural language processing, decision systems, agentification, POC (proof of concept), modular software, agent alignment, AI ethics, human in the loop, multi agent systems, organizational decision making, enterprise productivity, knowledge worker, conversational systems, AI strategy, AI safety, organizational agility.

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So many new Google AI updates at Google I/O, we had to do an encore. 

Google dropped dozens of new AI tools, features and modes inside their Gemini model and just about everywhere else. 

We already counted down the first half, so join us LIVE as we talk about the best of the best of 

hashtag

#GoogleIO announcements. 

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Topics Covered in This Episode:

1. Google IO AI Updates Coverage - Part Two
2. Google's AI Advancements and Current Standing in AI Industry
3. Recap of Previous Episode's Google IO AI Updates (15 to 8)
4. Overview of New Google IO AI Features (7 to 1)
5. Google's AI Tools: Flow and VEO Three
6. VEO Three's Capabilities and Business Applications
7. Google's AI Mode in Google Search
8. Gemini Live and Project Astra Integration
9. Updates to Google's Gemini 2.5 Models
10. Introduction of Google AI Ultra Subscription
11. Project Mariner and Agent Mode Capabilities

Timestamps:
00:00 Google Leads in AI Innovation

04:56 Google's Top 7 AI Updates

09:05 "Flow: Seamless Scene Stitching Tool"

13:36 Embracing AI Tools in Video Production

14:20 "v o Three Buzzing on Social Media"

18:04 "Upgrading Video Production Technology"

23:55 Amazed by AI's Realism

25:28 AI Watermarking and Evasion Trends

28:32 Google's AI Search Strategy

34:52 Feature Access Across Pricing Plans

35:42 "Gemini's Impactful AI Action Intelligence"

40:21 Gemini 2.5 Pro's Enhanced Capabilities

44:52 Google AI Plan Limitations Rant

47:00 "Project Mariner: Autonomous AI Agent"

50:09 "Project Mariner: AI Integration Potential"

52:54 AI Newsletter Sign-Up & Feedback

Keywords:
Google IO, AI updates, Gemini model, New AI offerings, Google AI, Business growth, AI features, Flow filmmaking tool, Google v o three, AI video generation, Project Astra, AI assistant, AI mode in Google search, AI-powered technology, Real-time translation, Gemini app updates, Gemma three n, Agent mode, Project Mariner, Google AI Ultra, AI subscription, Ultra pricey, NotebookLM updates, Personalized email, AI search, Content retrieval, Camera-based visual understanding, Native audio generation, Improved consistency, Character dialogue, Ambient sounds, Scene tr

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Google just dropped like 3 years of AI updates on us in 3 hours. 🫨

Welp...... cool. 

What do we do, now? 

And how does this change how your business operates? 

Don't worry... we'll tackle it all. In 2 parts. 

Google I/O AI Updates: 15 new features and how they can grow your business Pt 1 of 2 -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Google’s Position in AI Race
2. Top 15 AI Updates from Google I/O Conference
3. Imagine 4 Text-to-Photo Platform
4. Chrome with Gemini Integration
5. Personalization in Email
6. Notebook LM Updates
7. Gemini Diffusion Model
8. Real Time Translation in Google Meet
9. Gemini App Updates
10. Gemma 3N Model

Timestamps:
00:00 Google Dominates AI Race

04:22 AI Advancements: Beyond Top 15

08:01 Assessing "Imagine Four" in AI Imaging

11:18 Enhanced Image Editing Features

16:37 "Personalized Replies with Google Gemini"

18:11 Email Overload & Personalization Hopes

23:26 Simple Video Generation and Audio Overviews

24:25 Google AI: Fun, Cutesy Graphics Explained

27:43 "Diffusion Tech for Text Models"

31:42 Pro Plan and Language Expansion

34:05 Gemini App Updates and Features

39:53 "Quad Model: Powerful & Accessible"

41:13 "Gemma 3: Game-Changer for AI"

44:12 "Stay Tuned for More AI"

Keywords:
Google IO, AI updates, generative AI, large language model, AI race, Microsoft, OpenAI, Anthropic, Google leader, AI conference, top 15 AI features, business leaders, free daily newsletter, Google AI, Google Chrome, Gemini integration, Imagine 4, text-to-photo platform, Google workspace apps, personalization in email, NotebookLM updates, Gemini diffusion model, real-time translation, Google Meet, Gemini app updates, multilingual support, hybrid thinking model, AI-powered tools, personalized email, Google Drive, Chrome features, business use cases, international communication, Edge AI, small language model, Gemma 3n, multimodal capabilities, on-device AI, open-source model, pro and Ultra subscriptions, data security.

Ep 530: Google I/O AI Updates: 15 new features and how they can grow your business (Pt 1 of 2) 

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Microsoft legit just dropped a book of AI updates at the Build Conference.

We're going to go over the 5 most impactful AI-powered Microsoft Copilot updates and how they will change the future of work. 

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Topics Covered in This Episode:

1. GitHub Copilot's Autonomous Coding Partner Update
2. Copilot Tuning for Enterprise Customization
3. Introducing Agent Foundry on Azure
4. Multi-Agent Orchestration in Copilot Studio
5. Computer Use Automation in Copilot
6. MCP Native Support in Microsoft Systems
   
   

Timestamps:
00:00 "Everyday AI: Transform Your Business"

06:42 AI Coding Assistant Evolution

09:29 Copilot Tuning for Business Leaders

10:56 Data Privacy Concerns in Cloud Use

16:52 "AI Collaboration Among Tech Giants"

20:48 "Multi-Agent Orchestration Cautions"

22:59 "Multi-Agent Orchestration in Copilot Studio"

25:27 OpenAI Copilot Access and Availability

29:38 Copilot Pro: Versatile AI Agent

35:13 Microsoft Embraces Open AI Collaboration

36:57 "Security Concerns Slow AI Rollout"

39:44 Subscribe & Review Request


Keywords:
Microsoft Build 2025, AI updates, Copilot AI updates, GitHub Copilot, GitHub Copilot coding agent, Autonomous coding partner, Visual Studio Code, Multimodal understanding, Natural language prompts, MCP protocol, Model context protocol, Anthropic, Microsoft 365 Copilot, Business leaders, Copilot tuning, Organization's internal data, Low code model tuning, Task specific agents, Secure service boundary, Azure, Agent foundry, AI agent playground, Enterprise grade AI agents, Grok, Elon Musk, Microsoft Azure, Agent to agent protocol, A to A, Multi agent orchestration, Copilot Studio, Agents collaboration, Agentic memory, Automated validation tools, Computer use in Copilot, Desktop applications, Repetitive tasks, MCP native support, Windows 11, Future of work, Third party applications, Agentic web, Security and access controls.

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OpenAI made a coding splash. Anthropic is in legal trouble for .... using its own Claude tool? Google went full multimedia. And that's only the half of it. 

Don't spend hours a day trying to keep up with AI. That's what we do. 

Join us (most) Mondays as we bring you the AI News That Matters. 

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Topics Covered in This Episode:

1. Salesforce Acquires AI Startup Convergence
2. Google AI Studio's Generative Media Platform
3. Major AI Conferences: Microsoft, Google, Anthropic
4. Anthropic's Legal Citation Error with AI
5. DeepMind's Alpha Evolve Optimization Breakthrough
6. UAE Stargate: US and UAE AI Collaboration
7. OpenAI's GPT 4.1 Model Release
8. OpenAI's Codex Platform for Developers

Timestamps:
00:00 Busy week in AI

03:39 Salesforce Expands AI Ambitions with Acquisition

10:31 "Google AI Studio Integrates New Tools"

13:57 Microsoft Build Focuses on AI Innovations

16:27 AI Model and Tech Updates

22:54 "Alpha Evolve: Breakthrough AI Model"

26:05 Google Unveils AI Tools for Developers

28:58 UAE's Tech Expansion & Global Collaboration

30:57 OpenAI Releases GPT-4.1 Models

34:06 OpenAI Codex Rollout Update

37:11 "Codex: Geared for Enterprise Developers"

41:41 Generative AI Updates Coming

Keywords:
OpenAI Codex, Codex Platform, Salesforce, Convergence AI, Autonomous AI agents, Large Language Models, Google AI Studio, generative media, Imagine 3 model, AI video generator, Anthropic, Legal citation error, AI conference week, Microsoft Build, Claude Code, Google IO, agentic AI, Alpha Evolve, Google DeepMind, AI driven arts, Gemini AI, UAE Stargate, US tech giants, NVIDIA, Blackwell GB 300 chips, Wind Surf, AI coding assistant, codex one model, coding tasks, Google Gemini, Semantic search, Copilot enhancements, XR headset, project Astra, MCP protocol, ChatGPT updates, API access, AI safety evaluations, AI software agents, AI studio sandbox, GPT o series, AI infrastructure, data center computing, Tech collaboration, international AI expansion.

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Think AI is hitting a wall? Nope. 

This is just the start. Actually, we're at the first chapter. Here's what that means, and how you can move your company ahead. 

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Topics Covered in This Episode:

1. Generative AI's current phase
2. Meta's in-house AI chips development
3. OpenAI's new developer tools
4. Day zero of AI and future prospects
5. Reinforcement learning advancements
6. Emergent reasoning capabilities in AI
7. Business implications of AI advancements
8. AI in healthcare and science

Timestamps:
00:00 Day Zero of AI

03:31 AI Tools Enhance Customization & Access

09:02 Reinforcement Learning Enhances AI Reasoning

11:27 Agentic AI: The Future of Tasks

15:59 Tech Potential vs. Everyday Utilization

18:48 AI Models Offer Broad Benefits

23:15 "Generative AI: Optimism and Oversight"

27:08 Generative AI vs. Domain-Specific AI

29:24 Superhuman AI: Next Frontier

Keywords:
Generative AI, Fortune 100 leaders, chat GBT, Microsoft Copilot, enterprise companies, day zero of AI, livestream podcast, free daily newsletter, leveraging AI, capital expenditures, Meta AI chips, Nvidia, Taiwan's TSMC, AI infrastructure investments, Amazon, Google, Microsoft, OpenAI, responses API, agents SDK, legal research, customer support, deep research, agentic AI, supervised learning, reinforcement learning, language models, health care, computational biology, AlphaFold, protein folding prediction.

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Blink, and you’ve already missed like 7 AI updates.

The large language models we use and rely on? They change out more than your undies. 

(No judgement here.) 

But real talk — businesses have made LLMs a cornerstone of their business operations, yet don’t follow the updates. 

Don’t worry shorties. We’ve got ya. 

In our first ever LLM Monthly roundup, we’re telling you what’s new and noteworthy in your favorite LLMs. 

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Topics Covered in This Episode:

1. ChatGPT 4.1 New Features Overview
2. ChatGPT Shopping Platform Launch
3. ChatGPT's Microsoft SharePoint Integration
4. ChatGPT Memory and Conversation History
5. Google Gemini 2.5 Pro Updates
6. Gemini Canvas Powerful Applications
7. Claude Integrations with Google Workspace
8. Microsoft Copilot Deep Research Insights
   
   

Timestamps:
00:00 Saudi Arabia's $600B AI Investment

06:44 Monthly AI Model Update Show

08:11 OpenAI Launches GPT-4.1 Publicly

11:52 AI Research Tools Comparison

16:29 Perplexity's Pushy Shopping Propensity

19:55 ChatGPT Memory: Pros and Cons

22:29 Gemini Canvas vs. OpenAI Canvas

25:06 AI Model Competition Highlights

28:25 Google Gemini Rivals OpenAI's Research

32:30 "Claude's Features and Limitations"

37:05 Anthropic's Educational AI Innovation

39:02 Exploring Copilot Vision Expansion

41:38 Meta AI Launch and Llama 4 Models

46:27 "New iOS Voice Assistant Features"

47:54 "Enhancing iOS Assistant Potential"

Keywords:
ChatGPT, AI updates, Large Language Model updates, OpenAI, GPT 4.1, GPT 4.0, GPT 4.5, GPT 4.1 Mini, Saudi Arabia AI investment, NVIDIA Blackwell AI chips, AMD deal, Humane startup, Data Vault, AI data centers, Logic errors moderation, Grox AI, Elon Musk, XAI, Google Gemini, ChatGPT shopping, Microsoft SharePoint integration, OneDrive integration, deep research, AI shopping platform, Google DeepMind, Alpha Evolve, evolutionary techniques, AI coding, Claude, Anthropic Claude, Confluence integration, Jira integration, Zapier integration, ChatGPT enterprise, API updates, Copilot pages, Microsoft three sixty five, Bing search, Meta AI, Llama 4, Llama 4 Maverick, Llama 4 Scout, Perplexity, voice assistant, Siri alternatives, Grok Studio, AI social network.

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AI is shaking up qualitative research: speeding things up, cleaning messy transcripts, and even identifying hidden patterns.

Sounds amazing, right? 

Buuuuuuuut there’s a catch. 

When does AI go from helpful assistant to heavy-handed editor, scrubbing out the human insights qualitative research was built on?

In this episode of Everyday AI, we're tackling how to balance AI-powered qualitative research without losing touch with human nuance. 

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Topics Covered in This Episode:

1. Importance of Qualitative Research Training
2. Challenges in AI-Assisted Qualitative Research
3. AI's Role in Data Transcription
4. Human-Led Analysis in Qualitative Research
5. AI's Impact on Data Accessibility
6. Limitations of AI in Qualitative Analysis
7. Future of AI and Qualitative Research
8. Critical Thinking in AI-Assisted Research

Timestamps:
00:00 PhD and Qualitative Research Training

05:07 "Qualitative Research and Multiple Narratives"

08:04 AI in Research: Balancing Automation

09:57 AI-Assisted Data Analysis Caution

16:23 AI's Impact on Qualitative Research

19:19 Analyzing Qualitative Data Interpretation

25:11 Balancing AI in Qualitative Research

Keywords:
Qualitative research, qualitative researcher, AI use in research, AI in qualitative research, AI-informed, human-led, thoughtful AI use, research impacts, health psychology, apprentice plumber analogy, training for PhD students, data analysis, transcribing interviews, transcription time, structured versus unstructured data, meaning making, words as data, interpretive work, subjective interpretation, data set analysis, line by line coding, thematic analysis, story telling in research, ensuring rigor in research, critical thinking in research, efficiency in research processes, literature gap identification, data visualization, AI as an intern, sharing research findings with lay audience, implicit meaning in data, biases in models, accessibility of academic work, academic pressure to publish, research dissemination, insights from research, qualitative research processes, interpretation in qualitative research.

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Agentic AI is equally as daunting as it is dynamic. So…… how do you not screw it up? 

After all, the more robust and complex agentic AI becomes, the more room there is for error. 

Luckily, we’ve got Dr. Maryam Ashoori to guide our agentic ways. 

Maryam is the Senior Director of Product Management of watsonx at IBM. She joined us at IBM Think 2025 to break down agentic AI done right. 

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Topics Covered in This Episode:

1. Agentic AI Benefits for Enterprises
2. Watson X's New Features & Announcements
3. AI-Powered Enterprise Solutions at IBM
4. Responsible Implementation of Agentic AI
5. LLMs in Enterprise Cost Optimization
6. Deployment and Scalability Enhancements
7. AI's Impact on Developer Productivity
8. Problem-Solving with Agentic AI

Timestamps:
00:00 AI Agents: A Business Imperative

06:14 "Optimizing Enterprise Agent Strategy"

09:15 Enterprise Leaders' AI Mindset Shift

09:58 Focus on Problem-Solving with Technology

13:34 "Boost Business with LLMs"

16:48 "Understanding and Managing AI Risks"

Keywords:
Agentic AI, AI agents, Agent lifecycle, LLMs taking actions, WatsonX.ai, Product management, IBM Think conference, Business leaders, Enterprise productivity, WatsonX platform, Custom AI solutions, Environmental Intelligence Suite, Granite Code models, AI-powered code assistant, Customer challenges, Responsible AI implementation, Transparency and traceability, Observability, Optimization, Larger compute, Cost performance optimization, Chain of thought reasoning, Inference time scaling, Deployment service, Scalability of enterprise, Access control, Security requirements, Non-technical users, AI-assisted coding, Developer time-saving, Function calling, Tool calling, Enterprise data integration, Solving enterprise problems, Responsible implementation, Human in the loop, Automation, IBM savings, Risk assessment, Empowering workforce.

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OpenAI is making moves to go public. Apple and Anthropic are teaming up for vibe coding. And Google is quietly continuing its dominance with a quiet update to the world's most powerful AI model.

Once again, the big names are shaking up the AI space. 

Don't burn hours a day trying to keep up. Spend your Mondays with Everyday AI and our weekly 'AI News that Matters' segment. 

You'll be the smartest person in AI at your company.

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Topics Covered in This Episode:

1. Anthropic and Apple AI Partnership
2. Apple AI Coding with Anthropic's Claude
3. OpenAI's Wind Surf Acquisition
4. AI Search Engines in Apple's Safari
5. OpenAI and FDA Drug Approval Talks
6. Google Gemini 2.5 Pro IO Edition
7. Amazon AI Coding Tool Kiro
8. OpenAI's Nonprofit Control Decision

Timestamps:
00:00 "Everyday AI: Podcast and Newsletter"

03:44 Apple Eyes External AI Partnerships

07:12 OpenAI's Wind Surf Acquisition Disrupts Coding

10:28 Windsurf Model Selection and Future

14:24 Apple's AI Search Engine Shift

20:45 FDA-OpenAI AI Drug Approval Talks

22:50 AI Literacy Challenges

27:14 "Gemini 2.5 Pro Unveiled"

31:27 Advanced AI Coding Tools Emerging

34:50 OpenAI Governance and Structure Shift

36:50 OpenAI-Microsoft Partnership Revamp Talks

42:40 Tech Giants Shake Up AI Landscape

Keywords:
Anthropic, Apple, Vibe coding, Google Gemini, 2.5 pro IO edition, OpenAI, Microsoft partnership, IPO, Artificial General Intelligence, AI coding models, Claude SONNET, Swift Assist, Anthropic's Claude, Wind Surf, $3 billion acquisition, AI IDE, Race car driver analogy, AI search engines, Safari, Perplexity AI, ChatGPT, Search engine market, FDA, Drug approval process, AI-assisted scientific review, Google IO edition, Web dev arena leaderboard, Amazon Web Services, AI-powered code generation, Kiro, Multimodal capabilities, OpenAI nonprofit arm, Public Benefits Corporation, Equity stake, Microsoft partnership renegotiation, $13 billion investment, SoftBank, Oracle, Stargate project

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Still experimenting with AI?

Cool. 

While you tinker with prompts and pilot projects, real businesses are stacking wins—and actual revenue.

They’re not chasing shiny tools.
They’re building unfair advantages.
They’re automating what matters and scaling faster than their competition can.

And no, it’s not just Big Tech.

It’s manufacturers. Retailers. Healthcare companies. Real people solving real problems—with AI that works today.

You’ve got two options:
🛑 Stay stuck in “research mode”
✅ Or see how the pros are doing it and steal their playbook

Ajay Malik—former Google exec and CEO of StudioX—joins us to share how real businesses are crushing it right now with AI.

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Topics Covered in This Episode:

1. Role of AI in Business Competition
2. Studio X's AI Platform for Businesses
3. Challenges Businesses Face with AI Adoption
4. Real Applications for Top Line Growth with AI
5. Improving Products with Predictive Features
6. Increasing Bottom Line with Operational Efficiency
7. AI's Role in Automating Repetitive Tasks
8. Enhancing Business Operations through AI
9. AI Steering Committees for Continuous Evaluation
10. Specific Metrics for AI Success in Companies

Timestamps:
00:00 AI Surpasses Turing Test

03:48 AI Milestones and Product Updates

09:54 AI-Driven Revenue Strategies

10:38 AI Enhancing Product Usability

14:36 Automate Repetitive Tasks

17:33 "Unlearning Manual Task Habits"

22:45 Maximize Productivity with AI

26:40 Embracing AI's Rapid Business Shift

27:44 "Identify Business Pain Points Together"

31:09 Leading With AI in Business

Keywords:
Generative AI, Large Language Models, Enterprise companies, Smaller businesses, Increase top line revenue, Increase bottom line efficiency, Real businesses, AI platform, AI adoption, ROI versus hype, Supply chain management, Predictive analytics, AI voice control, Embedded inspection, Retain customers, Operational efficiency, Repetitive tasks, Automated processes, Google, Skill differentiation, AI assistant, AI augmenter, AI-enabled products, Sales opportunities, Knowledge management, Error reduction, Demand forecast, Course correction, Steering committee, Business metrics, Lead generation, AI use cases, Measurable applications, Think big, Scale fast.

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Maybe we should just skip the whole AGI thing? 

And instead focus on something ..... useful?

Ruchir Puri thinks that's the way forward. 

Ruchir, IBM Research & IBM Fellow, knows a thing or two about AI and how to make it useful. 

For decades, he's helped develop the world's biggest AI breakthroughs, like IBM Watson. 

Don't miss this convo if you're ready to make AI a bit more useful. 

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Topics Covered in This Episode:

1. Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)
2. Ruchir Puri’s Background in Automation and AI at IBM
3. Discussion of AGI’s Unclear Definition and Historical Milestones (Deep Blue and Watson)
4. Breakdown of Intelligence into IQ, EQ, and RQ
5. Emphasis on AUI’s Practical Uses in Daily Life and Business
6. Evolution of Human Work Due to AI Advancements
7. IBM's Software Engineering Agent for Developer Productivity
8. Importance of Feedback Systems and Intelligent Agents
9. Steps for Business Leaders: Education, Strategy, and Skill Development

Timestamps:
00:00 Everyday AI Podcast & Newsletter

03:57 Debating AGI and Scaremongering

09:31 Evolution of Knowledge Work

10:47 Seamless Language Generation's Impact

13:57 AI's Growing Reasoning Abilities

19:18 "Software's Dominance and Developer Focus"

22:22 AI Solutions for Cybersecurity Challenges

26:40 ChatGPT Struggles with Math

29:32 Preparing Human Skills for AI's Rise

30:35 "Embrace and Strategize with AI"

34:00 "Subscribe for Daily AI Insights"

Keywords:
artificial intelligence, AI podcast, large language models, LLMs, artificial general intelligence, AGI, artificial useful intelligence, AUI, IBM, AI in business, AI strategy, AI implementation, machine learning, deep blue, jeopardy, Watson, Granite models, reasoning AI, agentic AI, AI in software development, AI tools, AI automation, generative AI, EQ, RQ, IQ, AI reasoning, AI technology, AI in careers, AI and human skills, AI in enterprises.

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One of the biggest downsides of consumer AI?

It doesn't have up-to-date access to your enterprise data. 

Even as frontier labs work tirelessly to connect and integrate AI chatbots with your data, we're a far way off from that happening. 

Unless you're using a platform like IBM's watsonx. And if you are using watsonx, your go-to enterprise AI platform just got a TON more powerful. 

IBM just unveiled updates across its watson ecosystem at its Think 2025 conference. We've been here covering every step of it, so we're jumping into what you need to know.

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Topics Covered in This Episode:

1. IBM Think Conference 2025 Highlights
2. IBM's Watson AI Platform Updates
3. Enterprise Workflow with Watson x Orchestrate
4. Build Your Own AI Agents Features
5. Prebuilt Domain Agents Overview
6. New Agent Catalog with 50+ Agents
7. IBM and Salesforce AI Collaboration
8. IBM's Partnership with Oracle for AI

Timestamps:
00:00 Amazon's Advanced AI Coding Tool Kiro

03:52 AI Delivers Victim's Court Statement

07:12 "IBM Conference Insights and Updates"

12:52 Rise of Small Language Models

16:03 Watson x Orchestrate Overview

17:13 "Streamlined Internal Workflow Automation"

21:02 DIY AI Agents Revolution

23:52 AI Trust Through Transparent Reasoning

28:23 Prebuilt AI Agents Boost Efficiency

31:20 IBM Watson AI Traceability Insights

35:14 AI Platforms Crossover: Watson and Salesforce

41:10 IBM's AI Data Platform Enhancement

44:59 IBM Watson x Q&A Invitation

Keywords:
IBM Think 2025, AI updates, Enterprise work, IBM Watson, Generative AI, Enterprise organizations, IBM products, Watson AI platforms, AI news, Amazon Kiro, Code generation tool, AI agents, Technical design documents, OpenAI, Google's Gemini 2.5 Pro, Web app development, Large Language Models, Enterprise systems, Dynamic enterprise data, Enterprise-grade versions, Meta's Llama, Mistral models, Granate models, Small language models, IBM Watson x, AI agent creation, Build your own agents, Prebuilt domain agents, Salesforce collaboration, Oracle Cloud, Multi agent orchestration, Watson x data intelligence, Unstructured data, Open source models, Consumer grade GPU, Data governance, Code transformation, Semantic understanding, Hybrid cloud strategy.

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You prolly missed this HUGE AI drop.

Google quietly updated its NotebookLM behemoth to a thinking model and went FULL on multilingual. 

Millions of people are instantly getting a AI assistant overnight, but probably don't even know. 

So.... we're breaking it down. 

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Topics Covered in This Episode:

1. NotebookLM's Major 2024 AI Tool Updates
2. Google's Gemini 2.5 Flash Multilingual Features
3. NotebookLM's Gemini Model Integration Details
4. AI Reasoning Models in NotebookLM Explained
5. AI Audio Overviews in 50+ Languages
6. Exploring NotebookLM's Mind Map Feature
7. Discover Sources Function in NotebookLM
8. Using Deep Research with NotebookLM
   
   

Timestamps:
00:00 "Google Notebook AI Updates"

06:27 ChatGPT-Controlled IBM Updates Demo

08:48 Notebook LM Gains Global Attention

13:18 Modeling Challenges and Learning Paths

14:01 "Gemini 2.5 Flash: Powerful & Affordable"

18:55 AI Struggle: Defining Chicago

21:49 "Notebook LM Source Integration Guide"

26:30 "Notebook LM: Studio and Mind Map"

29:47 Watson x AI Updates Overview

31:36 Mind Map: Chaos to Clarity

36:39 "Adding Sources: Manual vs. Auto"

39:02 Analyzing Watson x Updates Monthly

41:08 IBM Watson x Trends Overview

44:25 Evaluating John's Performance in Marketing

48:05 "Leveraging Data with AI"

Keywords:
NotebookLM, Google Gemini, AI update, Gemini 2.5 flash model, Multilingual audio overviews, Large Language Model, Deep research tools, Google AI Studio, AI-powered deep dives, Gemini 2025, OpenAI, ChatGPT, AI-driven mind maps, IBM Watson x, Enterprise governance, AI reasoning model, Language support, AI-powered conversation, Audio overview features, AI flash model, Multimodal AI, Data protection, AI Studio integration, AI capabilities, Gemini reasoning, Machine learning advancements, AI feature updates, Enterprise AI solutions, Google Gemini thinking model, AI-driven insights, Language model updates, AI-driven research.

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Wait.... how's this make sense?

↪ Meta is going after ChatGPT's business. (AI app) 
↪ ChatGPT is going after Amazon's business. (Shopping) 
↪ Amazon is going after Google's business (Powerful LLM) 
↪ And Google is going after..... OpenAI's business? (AI mode) 

The tech trillionaires are at it again, going blow for blow with drool-worthy AI updates. 

Don't spend hours on your own trying to catch up. 

Spend your Mondays with Everyday AI as we bring you the AI News That Matters. 

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Topics Covered in This Episode:

1. Amazon's Nova Premier AI Model Launch
2. Meta AI App Powered by Llama 4
3. Google's AI Mode Available in US
4. Duolingo Replaces Jobs with AI Tools
5. Trump AI Pope Image Controversy
6. Apple and Google's Gemini AI Integration
7. Anthropic Claude's New App Integrations
8. NotebookLM Enhanced with Gemini 2.5 Flash
9. OpenAI's ChatGPT Shopping Feature Introduction

Timestamps:
00:00 Amazon AWS Unveils Nova Premier AI

05:11 Meta Unveils AI Competitor to ChatGPT

09:14 Duolingo Replaces Contractors with AI

12:52 AI's Growing Impact on Hiring

14:32 AI Image Mocking Catholics Sparks Outrage

20:49 "Zapier Enhances Claude's Research Utility"

25:09 Gemini 2.5 Update Enhancements

26:19 "Gemini 2.5 Flash Enhancements"

29:55 "ChatGPT Enhances Product Research"

34:06 OpenAI Ventures into Affiliate Marketing

37:29 Weekly AI News Highlights

Keywords:
Meta AI app, Llama four, generative AI, Amazon, AWS, Nova Premier, AI model, enterprise applications, text and image inputs, long form video, 1,000,000 token context window, model distillation, AWS bedrock, Google, chatGPT, OpenAI, Meta, social media integration, Ray-Ban smart glasses, user preferences, conversational AI, Google Shopping, AI mode, search labs, AI-enhanced local business features, Duolingo, AI first business model, contract worker replacement, Donald Trump AI image, AI-generated content, political controversies, Apple, Google, Gemini AI model, Siri enhancements, Claude, AI integrations, Jira, Confluence, Zapier, Anthropic, advanced research mode, NotebookLM, Gemini 2.5 Flash, Google AI, shopping buttons, OpenAI shopping feature, affiliate fees, conversational product recommendations, Nespresso, Amazon AI, Rufus AI, personalized shopping experience, 2025 technology trends.

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You're outsourcing your brain to AI. Bad idea?

AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.

It’s saving you hours. Maybe days.

But here’s the catch—it's also stealing your critical thinking. Making you reliant.

Maybe even... dumber.

Sumit Gupta knows this first-hand. He’s built data strategies at Notion, Snowflake, and Dropbox. 

And, he’s here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.

Are we trading our brains for convenience? 

Let’s find out.

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Topics Covered in This Episode:

1. Personal use of Generative AI and productivity vs. intelligence dichotomy
2. Introduction of Sameet Gupta as a guest
3. Role and experience of Sameet Gupta at Notion
4. The impact of AI on productivity and critical thinking
5. Examples of AI tools used by Sameet Gupta
6. Challenges of balancing AI use with retaining critical skills
7. Potential risks and costs of over-reliance on AI
8. White coding and its implications
9. Recommendations and personal strategies to maintain skills alongside AI use
10. The influence of AI on different age groups, particularly students
11. Discussion on cost implications of using AI improperly
12. Notion's capabilities in enhancing productivity and retention
13. The future impact of AI on knowledge workers and the workforce
14. Practical advice for business leaders on AI integration and maintaining productivity

Timestamps:
00:00 "Using AI to Stay Sharp"

06:02 Streamlining Dashboards with AI

8:48 "GPT for Quick Code Debugging"

12:34 Guardrails Needed for Costly AI Mistakes

15:27 AI for Repetitive Tasks

18:35 Growing Business with AI Expertise

21:20 AI's Impact on Younger Generation

26:04 AI’s Impact on Future Workforce

28:12 "Notion: Beyond Note-Taking"

31:22 "Validate or Lose Job Security"

32:25 Balancing Productivity and Uniqueness

Keywords:
Generative AI, large language models, productivity, dumber, balance, knowledge work, NVIDIA conference, GTC, OpenAI, advanced AI models, voice models, transcription, text to speech, API, real-time streaming, customizable voice presets, word error rate, noisy environments, 100 plus languages, competition, Gmail, Google, AI-powered search, email results, keyword search, Amazon, Claude, real-time access, web search feature, AI assistant, misinformation, AI hallucinations, Brian, Midroll, N

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AI or you're fired?

That's kinda been the trending train of thought recently with Duolingo and Shopify's new statements on AI in the workplace. 

Some people are shocked. We're not. 

We'll explain why this seemingly shocking workplace rulebook will become the new norm. 

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Topics Covered in This Episode:

1. AI Hiring Rulebook: Use It or Be Fired
2. Duolingo & Shopify's AI Initiative Analysis
3. AI Native Organization Best Practices
4. AI's Impact on Hiring Practices
5. Duolingo's Shift to AI-First Operations
6. Shopify's AI Proof Requirement Explained
7. Effect of AI on Entry-Level Jobs
8. Company Adaptation to AI Workforce

Timestamps:
00:00 AI or Be Fired?

02:50 Daily AI News

09:34 Workplace Software Recommendations

13:53 AI First, Human Second

15:15 Duolingo Shifts to AI-Driven Courses

20:23 AI's Transformative Impact on Business

24:38 "AI Boosts Productivity in Enterprises"

25:45 AI Impact on Entry-Level Jobs

29:15 AI's Impact: Adapt or Pivot

34:19 AI Hiring: Balancing Benefits and Overreliance

37:22 Strategic Staffing and AI Integration

40:31 Embrace AI, Evolve Workforce

42:58 AI Impact on Job Security

Keywords:
AI native, AI first, Duolingo, Shopify, AI hiring rulebook, employee AI usage, AI-generated code, Microsoft, Sadia Nadella, AI code generation, Python, Google Gemini, Apple Intelligence, Sundar Pichai, Tim Cook, AI models, competitive AI ecosystem, AI-powered tools, AI sector growth, workplace AI adaptation, AI anxiety, AI proof of necessity, AI productivity, online learning, automated course production, scalability with AI, customer service AI, data collection, AI-driven projects, AI-founded roles, workforce AI integration, AI proficiency, AI literacy, AI upskilling, AI training, digital transformation, exec dissatisfaction, AI implementation, hiring AI systems, local AI regulation, AI in education, workforce transformation.

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AI didn’t just rewrite the rules—it burned the old playbook.

The idea of long-term "job security"? Gone.

But here's the twist:
This isn’t a threat. It’s a wake-up call.

Because the people who adapt aren’t just surviving—they’re winning.
The rest? Still playing by rules that no longer exist.

Let’s talk about what to do next.

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Topics Covered in This Episode:

1. AI's Impact on Job Security
2. Future of Full-Time Employment
3. Clarity AI CEO's Personal Experiences
4. Coping with AI Layoff Anxiety
5. Shopify's AI Workforce Strategy
6. Upskilling to Future-Proof Careers
7. Personal Branding & Networking Importance
8. Emergency Plans for AI Layoffs

Timestamps:
00:00 "Job Security's End in AI Era"

03:59 Navigating AI Layoff Anxiety

08:00 Future-Proofing Company Leadership

11:34 "Why Companies Struggle with Training"

14:35 "AI Predictions Impacting Job Security"

20:17 "Financial Preparedness & Career Resilience"

22:30 "Future-Ready Skills for Developers"

24:53 Work Trends and Future Job Security

Keywords:
Job security in the age of AI, Future of work, Upskill, Reskill, Full-time employment, AI tools, Clarity AI, AI layoffs, Layoff anxiety, Personal branding, Networking, Gig economy, Upwork, Video editing, Debugging generated code, AI systems, Senior positions, Entry-level jobs, Skill set changes, Emergency plan, Financial stability, AI prototyping, Data solutions, Freelance, Income diversification, Automation, Digital twins, Roadmap to careers, AI influencer, Modern careers, AI-driven marketplaces, Team restructuring.

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Here's some AI secrets: Google's AI Studio is a cheat code. 

And we're going to show you 5 easy ways to use it to immediately save you time. 

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Topics Covered in This Episode:

1. Google AI Studio Overview & Hidden Benefits
2. Google AI Studio vs. Google Gemini
3. Google AI Studio: Long Context Window
4. Google AI Studio Video Creation
5. Parsing PDFs with Google AI Studio
6. Multimedia Content Creation via Google AI
7. Learn New Skills with Google AI Stream
8. YouTube Learning Enhancement with Google AI

Timestamps:
00:00 "Google AI Studio: Accessible AI Tool"

08:26 Google Updates on Data Usage

15:13 Exploring Google's AI Studio Choices

21:00 "AI Search Grounding Feature"

25:05 "Google AI Studio Image Advantage"

28:50 "Video Use in Marketing"

35:03 "Google AI Studio's Transformative Potential"

39:30 Live Experiment: Editing Google Gemini Image

47:21 "Screen Sharing with AI Assistance"

49:09 Tracking Webpage Impressions Changes

54:59 "Boosting Expertise with AI Tools"

01:00:18 "Exploring Google AI Studio Features"

01:06:46 AI-Powered Incident Analysis

Keywords:
Google AI Studio, AI automation, time-consuming tasks, interface update, user experience, nontechnical users, structured prompts, Google's API, Gemini models, multimodal tools, AI playground, developer tools, OpenAI comparison, Claude comparison, time saver, advanced settings, thinking models, video creation, VideoGen, VO2 model, AI video generation, PDF parsing, OCR technology, NotebookLM, image generation, multimedia content creation, Gemini advanced, grounded search, screen stream, learning new skills, YouTube learning, video content analysis, visual recognition, AI-driven creativity, AI-generated images, content strategy, percentage calculations, screen interaction, data privacy, cloud billing, AI chatbot, generative AI, personalization, long context window, last seven days data

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Is Perplexity going after..... Siri? Talk about a hard pivot. 

OpenAI and Google are racing for users.... who's winning? 

And will the U.S.'s effort on AI in education be too little, too late? 

We'll answer those questions and a ton more on our weekly news roundup show. Don't spend hours a day trying to keep up. Just join us (most) Mondays. 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. OpenAI Launches Lightweight Deep Research Tool
2. DOJ Pushes Google Chrome Breakup
3. Microsoft 365 Copilot Spring 2025 Update
4. Adobe Firefly Supports Google, OpenAI Models
5. MyPillow CEO's AI-Generated Legal Trouble
6. OpenAI's Image Gen API for Developers
7. U.S. President Signs AI Education Order
8. Perplexity AI Challenges Siri with Voice Assistant
   
   

Timestamps:
00:00 AI in Education, Adobe Partnerships

05:52 "Premier Deep Research Tools: OpenAI & Google"

07:35 DOJ Proposes Google Chrome Sale

13:42 Adobe Expands AI Image Tools

17:08 AI Missteps: Lindell's Legal Trouble

18:43 Lindell's Legal AI Misstep

22:25 OpenAI ImageGen API Overview

28:27 AI Literacy Initiative Praised

31:29 Microsoft Launches Controversial Recall Feature

32:32 Improved Microsoft Search Enhancement Secured

38:30 "Perplexity: Contextual AI Assistant Edge"

41:22 "Perplexity's Crucial Pivot Needed"

43:18 OpenAI's New Reasoning Language Model

46:43 AI Usage Surges Amid OpenAI Speculation

50:54 Tech Updates: AI Expansions & Legal Issues

Keywords:
OpenAI, Lightweight deep research tool, chat GPT, Free users, Paid users, Deep research queries, O four mini model, Google, Gemini 2.5, Perplexity, Deep research, Adobe, Firefly AI, Competitors, Image generation, Microsoft, Copilot, AI features, MyPillow, Legal citations, AI-generated court filings, ImageGen, API access, Creative work, US president Trump, Executive order, AI education, Microsoft 365, Recall feature, Copilot plus PCs, Perplexity AI, Voice assistant, Siri competitor, Open reasoning language model, Llama, Open weights, Meta, Text in/text out, DeepSeek, AI safety, Sam Altman, Edge AI, Multimodal models.

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8 Entered. 2 Remain.

Recently at NVIDIA's big GTC conference, we chatted with an Awesome 8 group of startups in NVIDIA's Inception program, which powers startups with cutting-edge tools, training, and global connections.

Now -- only two remain.

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Topics Covered in This Episode:

1. Inception Games Championship Round Overview
2. NVIDIA Inception Program Introduction
3. DMKTZ's AI Apparel Design Explanation
4. Glia Cloud's AI Video Automation Approach
5. Finalists' Sponsorship Prize Details
6. DeepCheck AI Model Evaluation Summary
7. Expander AI Custom Agent Platform Features
8. Beamer's Video Compression Innovation

Timestamps:
00:00 AI Education Order Signed by Trump

04:38 "OpenAI Unveils Lightweight ChatGPT"

08:40 "Everyday AI Sponsorship Prize"

11:06 AI Video Encoder & GPU Optimizer

16:16 "Live Demos and Tech Glitches"

19:25 "Full-Stack Fashion Personalization Platform"

22:00 AI Strategy and Training Solutions

23:47 Generative AI Transforms Clothing Production

28:13 Creative Automation for Global Marketing

30:23 "Glia Cloud's Generative AI Edge"

Keywords:
Inception games, NVIDIA Inception Startup, GTC conference, AI startups, Business leaders, Chinese AI startup Manus, $75,000,000 funding, Butterfly Effect, Autonomous agent, Large language model, US president Trump, Executive order, AI literacy, White House task force, Artificial intelligence education, Free daily newsletter, OpenAI, Lightweight version, ChatGPT, Deep research tool, Usage limits, Paid subscribers, NVIDIA Inception program, Developer forums, Venture capital firms, Glia Cloud, Democratize, Personalization platform, AI-powered videos, Script writing, Rendering, High impact videos, Audience engagement, Multilingual support, Seamless customer experience, Apparel design, Demand-based design, Precision-driven products.

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AI is both overhyped and underestimated. Yeah, read that again shorties. 

Everyone’s screaming about AI like it’s magic. Spoiler: It’s not.

But here’s the twist—what’s coming is way bigger than y'all are ready for.

Gary Rivlin’s been here before. He covered the dotcom frenzy in the ‘90s, and now he’s seeing history repeat itself. 

The PR fluff? Thick. The stakes? Higher.

He’s calling out the BS, breaking down what actually matters, and showing why the smartest people are using AI to amplify—not replace—human smarts.

Miss this, and you’ll miss the trillion-dollar wave.

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Topics Covered in This Episode:

1. AI Hype: Overrated or Underrated Debate
2. Gary Rivlin's AI Valley Insights
3. Generative AI's Impact on Industries
4. Startups: Silicon Valley AI Innovations
5. AI Business Strategy: Lessons from .com Era
6. AI Venture Capital Investments Surge
7. Generative AI Tools for Cost Reduction
8. Big Tech's Multibillion AI Investments
   
   
   

Timestamps:
00:00 AI Hype

02:00 Daily AI News

05:45 Intro to Gary Rivlin

07:02 Unexpected Email from Reid Hoffman

12:44 Startups' Long-Term Transformative Impact

14:07 AI's Transformational Impact on Society

19:35 Investing Big in Tech's Future

20:46 "Adapting to AI's Rapid Pace"

26:38 High-Stakes Venture Capital Decisions

28:58 "AI: Rising Intelligence Concerns"

31:40 Big Tech's Impact on AI Ownership

34:15 AI: Overhyped or Underhyped?

Keywords:
Generative AI, Overhyped AI, Underhyped AI, Mad dash to cash in, AI Valley, Gary Rivlin, Reid Hoffman, LinkedIn, ChatGPT, Silicon Valley, Everyday AI, Rise of the Internet, AI development, Transformative AI, Neural networks, ChatGPT launch, OpenAI, Adobe Firefly, Microsoft Copilot, Image generation, Text to video, Large-scale investment, Venture capital, Big tech, Trust and safety, AI adoption, Frontier AI labs, Personal agent, AI agents, AI in business, AI breakthroughs, AI future, Video generation, Cost savings, AI transformation, AI limitations.

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Wait. So.... how do you actually use OpenAI's new o3 model? 

↳ It's legit agentic. 
↳ Can think on its own. 
↳ Use multiple tools in sequence. 

This is not the normal blueprint for how a LLM works. 

Don't worry -- we got you.

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Topics Covered in This Episode:

1. OpenAI's o3 Model Introduction
2. o3's Agentic AI Capabilities
3. OpenAI's o3 Model Tiers Explained
4. o3 Model Tools & Features Overview
5. o3 vs. GPT 4 Benchmarking
6. o3's Business Use Cases and Demo
7. o3 Model Live Demos & Findings
8. Large Language Model Utility in Business
   
   

Timestamps:
00:00 "Revolutionizing Business with AI"

10:17 "o3 Outperforms Gemini in Benchmarks"

15:29 Advertising Deck Overview

18:02 "Manual Transcription Needed for Images"

22:45 "Automated Search and Retrieval Process"

31:59 Analyzing Media Trends with Consultants

36:06 AI News Tracking Setup

40:25 Podcast Downloads: First 7 Days Focus

47:23 AI News & FreshFind Interface

48:56 Rethinking Work with AI Influence

57:22 Apple Sentiment Impact Analysis

01:00:13 Restaurant Price Analysis Tech

01:07:08 AI Head-to-Head and CSV Upload

Keywords:
o3, OpenAI, large language model, agentic AI, GPT-4.1, API, thinking models, transformer model, GPT-4o, chain of thought thinking, reasoning models, Gemini 2.5 Pro, Claude 3.7 SONNET, hybrid models, tool usage, visual input reasoning, image generation, canvas feature, agentic model, autonomous decision-making, third-party benchmarks, LiveBench, artificial analysis intelligence index, MMLU Pro, GPQA Diamond, Humanities Lax exam, LiveCodeBench, SciCode, AI Math 500, business use cases, PDF transcription, computer vision, sentiment analysis, data trends, Python code, interactive dashboard, sentiment tone, online mentions, PR recommendations, interactive canvas, multimodal content.

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OpenAI's newest models are already topping the charts. It's almost like another week, another chart-topping AI release from a big player. 

So what's different about OpenAI's new o3 (and o4 mini)?

And is it really better than Google's super impressive Gemini 2.5 Pro? 

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Topics Covered in This Episode:

1. OpenAI o3's Advanced Tool Use
2. o3 Versus o4 Model Comparison
3. Agentic AI: o3's Tool Chaining
4. o3 Full Model's Global Benchmarks
5. Limitations of o3 in Practical Use
6. OpenAI's Image and Python Capabilities
7. o3 and o4 Mini Context Limits
8. AI Model Intermodel Communication
   
   

Timestamps:
00:00 OpenAI's new models

02:30 Daily AI news

06:50 Most powerful models?

09:05 New OpenAI O-Series Released

11:54 O Three: Powerful AI Model

16:30 ChatGPT Context and Safety Enhancements

18:09 ChatGPT's New Features Overview

22:21 "Gemini 2.5 vs. O Series"

24:41 "Hybrid Language Models Prevail"

29:03 Top AI Model: O3 and O4

32:05 "OpenAI Browsing Benchmark Update"

35:33 GPT Usage Strategy: O3 vs. O4 Mini

38:06 Comparing Models in Autonomous Decisions

41:33 "Analyzing AI Tools: A Guide"

44:44 OpenAI's GPT-5 Release Delayed

Keywords:
OpenAI's o3, OpenAI's o4, Most powerful AI model, OpenAI vs Google, AI news updates, Huawei 910c chip, US restrictions on NVIDIA, Competitive AI chips, OpenAI memory with search, AI in education, AI executive order, K-12 AI training, ChatGPT, Autonomous AI, Agentic AI models, o series models, AI model naming issues, AI tool use, Visual input reasoning, AI context window, 200k token context, AI reasoning capabilities, AI benchmarks, Large Language Models, AI model speed and efficiency, Agentic tool chaining, AI coding capabilities, AI's impact on education, AI-driven insights, AI model comparison, Chain of Thought reasoning.

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OpenAI's new o3 model feels almost criminal to use. Google is legit giving away its Gemini AI for free to millions. And Microsoft legit released an AI agent that can use a computer. 

Sheesh. 

Week after week, the pace of AI innovation is getting harder and harder to keep up with. 

Don't worry. We do that for you. 

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Topics Covered in This Episode:

1. OpenAI's $3B WindSurf Acquisition Deal
2. Google Launches Gemini 2.5 Flash Model
3. Google Veo 2 Video Tool Release
4. Microsoft AI Computer Use Agent Launch
5. US Ban Consideration on Chinese DeepSeek
6. Free Gemini Advanced to US Students
7. Anthropic's Claude Adds Google Workspace
8. OpenAI Testing New Social Media Platform
9. GPT 4.1 API Model with 1M Context
10. OpenAI's O3 and O4 Mini Released
    
    

Timestamps:
00:00 Intro

03:43 OpenAI Eyes $3B Windsurf Acquisition

06:54 Google Launches Gemini 2.5 Flash

11:36 Google Unveils Veo 2 for Videos

15:49 "AI Market Tensions: US vs China"

20:10 Microsoft Unveils AI Automation Tool

21:09 Microsoft AI Enhances Business Automation

28:16 Claude's New Tool: Pricey Research Integration

29:31 OpenAI Teams Lacks Gmail Integration

33:10 OpenAI Testing Social Media Platform

39:18 GPT-4.1's Competitive Edge in Coding

43:19 AI Model Versions Overview

45:49 Agentic AI: Workflow Evolution

47:45 "O Four Mini Model Overview"

52:20 Tech Giants Unveil AI Tools

Keywords:
Microsoft, Autonomous AI Agent, Apps, Websites, Thinking Models, OpenAI, Large Language Model Modes, Google, Gemini AI, Tens of Millions, Claude, Anthropic, AI News, AI World, Grow Companies, Grow Careers, Generative AI, Acquisition, Windsurf, $3 Billion, Code Generation Market, AnySphere, Cursor, Annualized Recurring Revenue, AI Coding Startups, Codium, Competitive AI Space, Google Next Conference, Gemini 2.5 Flash, AI Model, Computational Reasoning, Pricing, Output Tokens, Reasoning Budget, Complex Problem Solving, Performance Benchmarks, Competitors, Claude 3.7, DeepSeek, OpenAI o4, AI Studio, AI-powered Video, Vios AI, v o two, Text-to-Video, Synth ID, Digital Watermark, WISC anime, White House Restrictions, NVIDIA AI Chips, Intellectual Property Rights, Trump Administration, Silicon Valley, DeepSeek Ban, Innovations in AI, Copilot Studio, Microsoft 365 Copilot, Automation, API Restrictions, AI Agents, Influencer Recommendations, Social Media Network, Sam Altman, ChatGPT, Image Generation, Grok AI Integration, Soci

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AI is outthinking you.

While you’re stuck in strategy meetings and five-year plans, AI is making moves in seconds. 

Old-school strategy? It’s slow. It’s flawed. It’s toast.

Want to stay relevant? You better learn how AI thinks—and fast.

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Topics Covered in This Episode:

1. AI Strategy vs Traditional Business Strategy
2. The Shift to AI Mindset in Business
3. Evolution of Machine Learning Accessibility
4. Impact of Generative AI on Business
5. AI Tools for Small and Large Businesses
6. AI Implementation for Business Efficiency
7. Overcoming Inertia with AI Thinking
8. AI's Role in Productivity Enhancement
   
   

Timestamps:
00:00 Outdated Strategies and AI Integration

04:39 AI Accessibility Transformation

06:40 Tech Accessibility Boosts Small Businesses

12:00 Evaluate Employee Efficiency Backwards

13:04 Defining Your Business Value Proposition

16:47 Breaking Inertia with AI Tools

22:06 AI Tools Enhance Productivity, Not Threaten Jobs

23:56 Try AI Tools Personally First


Keywords:
AI thinking, Traditional business strategy, AI mindset, AI implementation, Tech adoption, Machine learning, Data science, Generative AI, Large language models, Open source models, AI tools, Text summarization, News text summarizations, Extractive summarization, Abstractive summarization, BERT models, GPT models, AI accessibility, AI usability, AI adoption, Return on investment, AI tools for businesses, Business strategy, AI innovation, Productivity enhancement, Decision making process, Risk assessment, Small business AI, Enterprise companies, Business value proposition, Automation with AI, AI toolkit, Business growth with AI, AI-driven development, AI mindset adoption.

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Everyone’s chasing bigger AI. The real opportunity? 

Smarter scaling.

Distributed computing is quietly rewriting the rules of what’s possible—
not just for tech giants, but for everyone building with AI.

We’re talking cost. We’re talking scale. And we’re definitely talking disruption.

Tom Curry, CEO and Co-Founder of DistributeAI, joins us as we dig into the future of distributed power and practical AI performance.

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Topics Covered in This Episode:

1. Distributed Computing for Affordable AI
2. Open Source vs. Proprietary AI Models
3. GPU Demand and Compute Limitations
4. Edge Computing and Privacy Concerns
5. Small Business AI Compute Solutions
6. Future Trends in AI Model Sizes
7. Impact of Open Source AI Dominance

Timestamps:
00:00 Rising Importance of AI Compute

06:21 AI Model Resource Constraints

09:24 AI Models' Efficiency vs. Complexity

12:24 Edge Compute for Daily Tasks

16:00 Compute Cost Drives AI Market

16:58 AI Models: Balancing Cost and Innovation

20:43 Adaptability in Rapidly Changing Business

Keywords:
Distributed computing, compute, GPUs, generative AI, ChatGPT, large language models, open source models, proprietary models, affordable AI, scale, Distribute AI, spare compute, Tom Curry, mid-level businesses, accessible AI ecosystem, API access, power grid, NVIDIA, OpenAI, tokens, chain of thought, models size, reasoning models, edge computing, cell phones analogy, data privacy, DeepSeek, Google Gemini 3, Eloscores, open models, hybrid models, centralized model, OpenAI strategy, Anthropic, Claw tokens, commoditization, applications, government contracts, integration, UX and UI, technology advancements, private source AI, business leaders, AI deployment strategy, flexibility in AI.

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Most brands are about to vanish from search. Yours doesn’t have to.

AI search isn’t the future. It’s already rewriting the rules.
And if you’re not adapting -- you’re disappearing.

What’s changing? Who’s winning?
And why are some brands thriving while others fade into the algorithmic abyss?

Chris Andrew, CEO & Co-founder of Scrunch AI, joins us to break it all down.

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Topics Covered in This Episode:

1. AI Search's Impact on Brand Visibility
2. Strategies for Winning in AI Search
3. AI Search and Customer Journey Changes
4. Importance of AI Crawlers in SEO
5. Shifting SEO Tactics for AI Search
6. AI and Third-Party Content Influence
7. Small Brands Competing in AI Search
8. Future of All Search as AI Search

Timestamps:
00:00 Brands in the age of AI search 

01:55 Daily AI News

09:50 Leveraging AI for Immediate Impact

13:16 "Optimizing Content for AI Crawlers"

15:55 "Unblocking AI Crawlers Essential"

20:24 Rapid AI Developments Challenge Adaptation

22:20 Optimizing Content for AI Retrieval

24:31 AI Strategies for Online Brand Management

28:22 ChatGPT Memory and AI Personalization

31:35 AI as the New Consumer

Keywords:
AI search, brand optimization, GPT, perplexity, customer journey, enterprise platform, AI crawlers, AI overview, Anthropic, Claude AI assistant, web research, deep research, Google Workspace, Microsoft Copilot, Google Gemini, VO two, AI video generator, text prompts, OpenAI, social network, CEO Sam Altman, AI-powered sharing, AI referral traffic, brand reputation, persona mapping, buyer behavior, ChatGPT, integration, Claude's new features, beta features, content strategy, organic search, content creation, user intent, AI monitoring, third party content, brand perception, intent-based content, personalized content, buyer intent, search behavior, buyer journey, market adaptation, business strategies, AI consumer, content optimization.

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Has Claude by Anthropic lost its edge in AI? 

Discover why OpenAI and Google are pulling ahead and what it means for AI dominance. Explore if Claude can stage a comeback and what's next for AI innovation. 

Tune in for insights and analysis.

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Topics Covered in This Episode:

1. Anthropic's Claude Losing Market Edge
2. Comparison of AI Innovators: Anthropic vs. Google
3. Claude 3.7 and Industry Relevance
4. OpenAI and Google AI Advancements
5. Enterprise Hesitation with Anthropic's Claude
6. Benchmark Performance: Anthropic vs. Competition
7. Claude User Experience and Rate Limits
8. Future Prospects for Anthropic and Claude

Timestamps:
00:00 Anthropic's Decline in AI Race

02:20 Daily AI News

10:00 Has Anthropic Claude Lost It's Edge?

17:05 Claude's Restrictive Approach Missteps

20:50 Anthropic's Delayed Feature Rollout

22:17 Claude's Profitability vs. User Growth

27:42 Can Anthropic Stay Competitive?

30:02 Anthropic's Struggle Against Gemini Models

32:57 "Claude's Ranking Below Top 10"

36:08 Coding Model Rankings: OpenAI Tops

40:46 "Claude's Decline Amidst AI Advancements"

44:00 "Frustration Over Usage Limitations"

48:33 Anthropic Lags Behind Google/OpenAI

49:10 "Stay Connected & Engaged"

Keywords:
Anthropic, Claude, Claude 3.7, Claude's edge, AI model, Large Language Model, AI frontier labs, Google, OpenAI, Microsoft, Apple, Synthetic data, Differential privacy, Tariff policies, NVIDIA, U.S. AI manufacturing, Taiwan Semiconductor, Foxconn, Wistron, Digital twins, Advanced robotics, GPT 4.1, Million token context window, API developers, Context processing, Claude's competitiveness, Internet access, Third-party integrations, Rate limits, Claude artifacts, Claude projects, Computer use, Power users, AI safety, Claude Max, Rate limit sessions, Cloud recovery, AI coding index, Coding performance, Price comparison, Benchmark performance, Intelligence index, Human preference, Elo score, Web traffic, Market competition, Enterprise challenges.

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Google went AI nuts at Cloud Next, possibly taking the lead. OpenAI is reportedly ready to unveil up to five new models. Canva enters the AI arena with innovative features. This week's AI news is explosive. Catch up now!

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Topics Covered in This Episode:

1. Google Cloud Next AI Announcements Recap
2. OpenAI ChatGPT Memory Feature Details
3. OpenAI and Elon Musk Legal Battle
4. Canva AI Suite Expansion Overview
5. Anthropic Claude Max Subscription Pricing
6. Microsoft's Data Center Strategy Pivot
7. Shopify's AI Usage Mandatory Policy
8. Upcoming OpenAI Model Releases Overview

Timestamps:

00:00 Technical Glitch with Equipment

04:48 Gemini 2.5 Pro Launch

07:06 Google's New AI Collaboration Protocols

13:28 ChatGPT Enhances Memory for Personalization

17:37 AI Surveillance Accusations in U.S. Agencies

20:56 Canva Launches AI-Powered Suite

23:10 AI Graphic Design Evolution

26:02 "Musk's Lawsuit: A Delay Tactic"

28:14 Anthropic Launches Claude Max Subscription

34:05 Microsoft Pauses Data Center Expansion

35:39 Microsoft's $80B AI Investment Strategy

42:05 Shopify's Bold AI Integration Shift

44:25 Maximize AI Before Hiring

48:31 OpenAI Model Tiers Explained

51:41 "GPT-5: Concerns on Model Autonomy"

54:20 AI Innovations and Controversies Overview

Keywords:

Google Cloud Next, AI updates, OpenAI, countersue, Elon Musk, Canva AI features, Gemini 2.5 Pro, Large Language Model, ChatGPT memory feature, AI race, GPT 4.1, Vertex AI, Google AI Studio, agent to agent protocol, Google Workspace, Google Sheets, MCP protocol, Google DeepMind, GDC, Ironwood TPU chip, Lyria AI model, AI video model, AI music generation, Elon Musk's Dodge team, government AI monitoring, Ethical AI use, Canva Sheets, Shopify CEO AI memo, Anthropic, Claude Max, Microsoft Copilot, AI infrastructure, Recall AI feature, data privacy concerns, AI-powered productivity, GPT models, AI operating systems, personalized AI, GMPT 4.5, AI sandbox, Nvidia hardware, test time computing, AI reasoning, ChatGPT preferences.

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AI growth with no rules? That’s not bold.

It’s reckless.

Everyone’s racing to scale AI. More data, faster tools, flashier launches.

But here’s what no one’s saying out loud:
Growth without governance doesn’t make you innovative. It makes you vulnerable.

Ignore ethics, and you’re building an empire on quicksand.

In this episode, we’re breaking down how to scale AI the right way—without wrecking trust, compliance, or your future.

Join us live as we break down Sustainable Growth with AI: Balancing Innovation with Ethical Governance — An Everyday AI Chat with Rajeev Kapur and Jordan Wilson

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Topics Covered in This Episode:

1. Balancing AI Innovation with Ethical Governance
2. Introduction of Rajeev Kapur and Eleven o Five Media
3. Rajeev Kapur's Background in AI
4. Companies Balancing AI Innovation and Ethics
5. Formation of AI Ethics Board
6. Data Management as Competitive Advantage
7. Privacy and Ethics as Product Features
8. Governance and Ethical Standards in AI Use
9. Impact of Regulatory Changes on AI Use
10. Deepfakes and Their Implications
11. Encouragement for Companies to Lead Ethically in AI

Timestamps:
00:00 Navigating AI: Innovation vs. Risks

04:00 "AI Startup's Spatial Audio Journey"

06:49 AI Ethics Oversight & Governance

10:04 Strategic AI Advisory Team Formation

15:34 AI Strategy and Governance Essentials

16:55 Global Standardization Needed for AI Policies

22:47 AI Ethics: Innovation vs. Deepfakes

25:48 "Regulate Deepfakes Like Nukes"

27:17 Leadership Vision for Future Success

Keywords:
AI innovation, Ethical governance, Large language models, Data privacy, AI ethics board, AI governance, TDWI, Microsoft stack, Generative AI, AI algorithms, Spatial audio, Deep fakes, Data differentiation, Machine learning, Cyber security, Enterprise technology, Rajeev Kapur, 11:05 Media, AI safety, OpenAI, Data utilization, Ethical AI alignment, Regulatory aspect, AI models, Innovation vs. ethics, AI data privacy, Explainability, Data scientists, Third-party audits, Transparent AI usage, AI-driven growth, Monitoring feedback loops, Worst case testing, Smart regulations, Digital twins, Disinformation, AI bias mitigation, Data as new oil, Refining data, Diverse community partn

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Dozens of AI updates. 🤯

Whether you're a creative writer, IT specialist, software engineer or project manager, Google just dropped like a bajillion crazy useful AI updates on us at Google Cloud Next. 

Watching Google's announcement keynote this morning was like watching a TED Talk by an auctioneer who just drank five espressos. 

How to make sense of it all the new features inside Google Gemini? 

By tapping into the brainpower of Logan Kilpatrick, Senior Product Manager Senior Product Manager Google DeepMind. 

In our fastest show ever, Logan doesn't disappoint and breaks down not only some of the highlights of the shiny new AI toys that are gonna be crowding your news feed, but the new possibilities they created. 

Like.... legit new business are already popping up. 

We discuss it all. 👇

Inside Google Cloud Next: Gemini AI updates that create new possibilities. An Everyday AI Chat with Jordan Wilson and Logan Kilpatrick, Senior Product Manager Senior Product Manager Google Deepmind. 

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Topics Covered in This Episode:

1. New announcements at Google Cloud Next
2. Google Gemini 2.5 Pro and 2.5 Flash updates
3. Deep research capabilities in Google Gemini
4. Canvas in the Gemini app and use cases
5. Veo video generation and live API availability
6. Google Firebase Studio evolution from Project IDX
7. Gemini 2.5 Pro use cases and performance
8. Live API in AI Studio and future work interfaces

Timestamps:
00:00 "Excitement Builds for 2.5 Pro"

05:44 Chatbots: From Novelty to Utility

08:48 AI Revolution in Video Editing

10:15 Firebase Studio: Next-Gen AI-Enhanced IDE

15:19 "Effortless AI Integration Needed"

16:35 "Logan's Potential Third Visit?"

Keywords:
Google Cloud Next, Google Gemini, Google Gemini AI Studio, Logan Kilpatrick, Google DeepMind, AI updates, Google Gemini 2.5 Pro, Google Gemini 2.5 Flash, Developer tools, Deep research, Gemini Advanced, Canvas feature, Vibe code, Video generation model, Veo, Live API, Android integration, Google ecosystem, MCP, Internet sentiment analysis, Competitive analysis, AI-powered creativity, AI in business, Connected data, Personalization feature, Google search history, Creative tools, Vertex AI, Text-to-music, Updated Chirp, Firebase, Firebase Studio, Project IDX, Integrated development environment, Browser-based development, AI-powered coding, Multimodal capabilities, Live API, AI interface, AI advancements.

EP 501: Inside Google Cloud Next: Gemini AI updates that create new possibilities

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The world is completely different than it was before ChatGPT. 🌎

GenAI has shook the world, and we've been here. 

Every step of the way. 

As we celebrate Everyday AI's 500th episode, we're taking a look back at how far the GenAI landscape has changed and talk about what's next. 

We'll also take a bunch of question from our livestream audience and reflect a bit on our favorite moments. 

Celebrating Everyday AI's 500th Episode: What we've learned about GenAI so far and where we're headed

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Topics Covered in This Episode:

1. Evolution of Generative AI Since Inception of Everyday AI
2. Discussion on the Future of Work and AI's Impact on Employment
3. Jordan Wilson's Background and Decision to Focus on Everyday AI
4. Initial Skepticism and Early Use of GPT Technology
5. The Shift From GPT Technology to ChatGPT
6. The Integrations and Plans of Generative AI in Enterprises
7. The Potential for AI to Reshape Traditional Employment Models
8. AI's Influence on Service Industries and Consulting
9. Role of Nontechnical People in AI Adoption
10. Redefining Human Skill and Value with AI
11. The Concept of Human in the Loop vs. Expertise in the Loop
12. The Competitive Landscape of the AI Race

Timestamps:
00:00 "Everyday AI: Leverage Generative AI"

09:09 Daily Commitment to Learning AI

14:03 AI Dominates Enterprise Tech

16:31 AI Adoption by Nontechnical Users

26:45 Entrepreneurship Revival Amid AI Layoffs

27:45 Generative AI's Organizational Impact

35:36 Consultancies Facing Change and Layoffs

41:02 "Redefining Human Skill with AI"

48:25 "Human Skills in AI Era"

52:35 Agent Orchestration and Expertise Integration

59:15 Evaluating AI Model Quality

01:04:00 Encouraging Gen AI Acceptance

01:08:26 "Ignoring Advice: The Birth of Everyday AI"

01:14:58 Supportive Feedback's Impact

01:15:56 Thank You for 500 Episodes

Keywords:
Generative AI, Future of Work, AI impact on employment, AI in service industries, Redefining human skill, Human value, AI transformation, AI ethics, Nonprofit leadership, Accelerant Agency, GBT technology, ChatGPT, Large language models, Enterprise AI, AI capabilities, OpenAI, Microsoft Copilot, AI tools, Third party software, AI automation, AI research, Deep research, Multimodal generative AI, Artificial super intelligence, Agency, AI workflows, Autonomous agents, Agent orchestration, Business models, Consulting disruption, Legal industry, Financial services, AI-powered research, AI-driven s

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If you’re using GPT-4o image gen to create Studio Gibli art, you’re missing the point. 🤦

When ChatGPT released 4o image gen about a week ago, the internet went wild creating Ghibli style art, memes and making themselves an action figure adorned with personalized trinkets. 

Are we done now? 

Can we be like…. Business people? 

Sure it’s fun to take that photo from 7 years ago and turn yourself into a Minecraft character or whatevs, but do you not understand OpenAI just handed us the keys to creative kingdom? 

Let’s get down to business. 

Because creating funny photos is about 0.3% of what this thang can do. 

Join us LIVE, and I’ll show you the basics of how you can actually grow your biz with real use-cases for this creative machine. 

It’s so easy, legit anyone can do it. 

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Topics Covered in This Episode:

1. Release of ChatGPT 4.0 Image Gen
2. Importance of GPT 4.0 Image Gen for Business Creativity
3. Free and Paid Usage of ChatGPT 4.0 Image Gen
4. Comparison with Adobe Photoshop
5. The Need for Visuals in Business Communication
6. Five Best Business Use Cases of GPT 4.0 Image Gen
7. Use Case 1: Photo Shoots That Never Happened
8. Use Case 2: Quick Redesigns Without a Designer
9. Use Case 3: Visualizing Boring Business Processes
10. Use Case 4: Mimicking or Imitating Winning Visuals
11. Use Case 5: Turning Blog Posts into Infographics
12. Encouragement to Use GPT 4.0 Image Gen in Business
13. Future 10 Business Use Cases to be Shared

Timestamps:
00:00 "Everyday AI Insights Podcast"

04:57 "Visual Future: AI vs. Photoshop"

09:21 Imaginary Photoshoots with AI

11:25 ChatGPT ImageGen Limitations

15:19 "Choosing the Best Design"

17:52 "Visualize Simple Business Processes"

21:56 "Generative AI Partnership Opportunities"

26:39 "AI News Visuals Issue"

28:00 ChatGPT Server Load Issues Explained

30:29 "High Floor Software Excellence"

Keywords:
ChatGPT, GPT-4, AI models, generative AI, creativity, business leader tools, everyday AI, livestream podcast, AI news, business use cases, design without designer, photo shoots, image generation, social media, visual storytelling, SOPs, onboarding guide, infographics, marketing campaigns, business processes, visual guide, natural language prompt, creativity in business, AI technology, decision makers, ChatGPT usage, OpenAI, Microsoft, NVIDIA, Adobe.

EP 499: ChatGPT's New GPT

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Welp, that escalated quickly. 🤯

After Google and OpenAI won the week last week, Microsoft and Meta decided to drop some pretty crazy AI features and models.

How can anyone even keep up?!

(With Everyday AI, and our weekly AI news that Matters segment, of course.) 

Meta drops Llama 4, Microsoft Copilot levels up its AI game, GPT-5 roadmap hits snag and more AI news 

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Topics Covered in This Episode:

1. Microsoft Copilot Update Features
2. Midjourney v7 Image Generator Release
3. ChatGPT Teams' Google Drive Integration
4. OpenAI's GPT-5 Delay and New O-Series Models
5. GPT-4.5 Passing the Turing Test
6. Amazon's NovaAct AI Toolkit Launch
7. Meta's Llama 4 Release and Features

Timestamps:
00:00 "Everyday AI News and Insights"

06:10 Microsoft Expands Copilot Features

09:39 "MidJourney V7: Voice and Draft Mode"

11:58 "Midjourney's Incremental Update Feedback"

15:50 Google Gemini Accessibility Struggles

18:53 OpenAI Delays GPT-5, Announces Models

21:04 GPT-5: Delay Due to Integration Complexity

24:31 GPT-4.5 Passes Turing Test

30:30 Amazon Unveils NovaAct AI Agent

32:06 Understanding AI Agents vs. Models

35:33 "Long Context Windows' Rising Impact"

39:49 "Chinese Models: Safety and Preference Insights"

42:43 AI Updates: April 7 Recap

45:27 "Subscribe to Everyday AI Newsletter"

Keywords:
AI developments, trillion dollar companies, AI models, AI image generator, Chat GPT updates, GPT 5, Open AI, Turing test, Jordan Wilson, Everyday AI, AI news, daily livestream, free newsletter, career growth, companies, Monday updates, Inception game, NVIDIA, Google Cloud next conference, Las Vegas, META, Llama four, Microsoft Copilot, personalization, MidJourney, GPT 4, AI agents, Amazon, NovaAct, Gemini, multi-modal AI.

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Meta drops Llama 4, Microsoft Copilot levels up its AI game, GPT-5 roadmap hits snag and more AI News That Matters

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Missing the Madness between games? 🏀

It's not over – especially if your as big a fan of AI startups as your are basketball. 

Recently at NVIDIA's big GTC conference, we chatted with an Awesome 8 group of startups in NVIDIA's Inception program, which powers startups with cutting-edge tools, training, and global connections.

Join us for the first part of a two-part series, and help us vote who's going to move on to the finals!

You can vote twice. Voting ends Sunday, April 6th at 11:59 PM CST. 

1. Leave a comment on the LinkedIn livestream show with the company you want to vote for and a hashtag like this: #companyname

2. Vote on the April 4 edition of daily newsletter, which you can read here. 

Inception Games Round 1: Who's the Top NVIDIA AI Startup? – An Everyday AI Chat with Jordan Wilson

Check out NVIDIA for Startups

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Topics Covered in This Episode:

1. Inception Games AI Startup Competition
2. DeepChex Generative AI Systems Evaluation
3. Expander AI's Multi-Agent AI Platform
4. Beamer's Video Compression Technology
5. PlyOps' GenAI Application Accelerator
6. Glia Cloud's Automated Ad Creation
7. Contextual AI's Augmented Retrieval System
8. Democratize's Custom Apparel Intelligence
9. Illumix's Enterprise Data Analytics Platform

Timestamps:
00:00 AI Startup Showcase Series

06:43 Live Stream Engagement Instructions

10:02 Agent Interaction Evaluation System

12:18 Streamlined Evaluation and Deployment System

16:40 Streamlined AI Development Platform

19:53 Unified Framework Connector Platform

21:06 Beamer: Enhanced Video Optimization Technology

23:54 Inception Program Graduation Impact

28:56 Gen AI Transforming Data Centers

32:26 Automated Video Ads for Businesses

34:18 "Staying Ahead with Gen AI"

39:36 Solving RAG and Enhancing LLMs

40:56 Boost from NVIDIA Partnership

43:38 Fashion Tech Expands to Sportswear

48:17 Elumex: Trust Through Data Transparency

52:17 "Podcast & Ne

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Still experimenting with AI?

Cool. 

While you tinker with prompts and pilot projects, real businesses are stacking wins—and actual revenue.

They’re not chasing shiny tools.
They’re building unfair advantages.
They’re automating what matters and scaling faster than their competition can.

And no, it’s not just Big Tech.

It’s manufacturers. Retailers. Healthcare companies. Real people solving real problems—with AI that works today.

You’ve got two options:
🛑 Stay stuck in “research mode”
✅ Or see how the pros are doing it and steal their playbook

Ajay Malik—former Google exec and CEO of StudioX—joins us to share how real businesses are crushing it right now with AI.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Role of AI in Business Competition
2. Studio X's AI Platform for Businesses
3. Challenges Businesses Face with AI Adoption
4. Real Applications for Top Line Growth with AI
5. Improving Products with Predictive Features
6. Increasing Bottom Line with Operational Efficiency
7. AI's Role in Automating Repetitive Tasks
8. Enhancing Business Operations through AI
9. AI Steering Committees for Continuous Evaluation
10. Specific Metrics for AI Success in Companies

Timestamps:
00:00 AI Surpasses Turing Test

03:48 AI Milestones and Product Updates

09:54 AI-Driven Revenue Strategies

10:38 AI Enhancing Product Usability

14:36 Automate Repetitive Tasks

17:33 "Unlearning Manual Task Habits"

22:45 Maximize Productivity with AI

26:40 Embracing AI's Rapid Business Shift

27:44 "Identify Business Pain Points Together"

31:09 Leading With AI in Business

Keywords:
Generative AI, Large Language Models, Enterprise companies, Smaller businesses, Increase top line revenue, Increase bottom line efficiency, Real businesses, AI platform, AI adoption, ROI versus hype, Supply chain management, Predictive analytics, AI voice control, Embedded inspection, Retain customers, Operational efficiency, Repetitive tasks, Automated processes, Google, Skill differentiation, AI assistant, AI augmenter, AI-enabled products, Sales opportunities, Knowledge management, Error reduction, Demand forecast, Course correction, Steering committee, Business metrics, Lead generation, AI use cases, Measurable applications, Think big, Scale fast.

EP 496: How Real Businesses Are Actually Winning with AI

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Wait. Gemini 2.5 can do whhhaaaaat? 😱

Finally coming up for air after generating 1,459 images in ChatGPT's new image generator?

Just in time.

After we wrapped up our Part 1 overview of Gemini 2.5 Pro Unlocked, we're going all-in on use-cases for Pt. 2. 

We're going to tackle some everyday business use-cases for Gemini 2.5, some wacky ones, and creative ones. 

All LIVE. 

(And we'll probably break things along the way.) 

Join Us. 

Gemini 2.5 Pro Unlocked: Exploring everyday use cases (Pt 2 of 2)

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Innovative Uses of Gemini 2.5 Pro
2. Analyzing Gemini's Built-in Thinking
3. Real-World Business Applications
4. Live Demos of Gemini Features
5. Gemini's PDF and Image Analysis
6. Interactive Content with Gemini Canvas
7. Gemini's Onboarding and Training Tools
8. Gemini's Unmatched Processing Power

Timestamps:
00:00 "Google's Gemini 2.5 Boosts Business"

04:51 Future Non-Coders Transform with AI

07:35 "Top Tech Podcast Episode: AI Demos"

10:44 Gemini 2.5 Pro Experimentation

13:26 Google Gemini Podcast Musings

16:21 Exploring Google Gemini's Tool Usage

20:23 Testing AI Podcast Analysis

25:17 "Efficient AI News Searching"

27:52 "Canvas and Claude: HTML Challenge"

29:31 PDF Extraction for Business Automation

34:11 Canvas Integration: Google Doc Alternative

36:36 Google Gemini: Live Rendering & HTML Pasting

39:45 "AI Learning Tools: Pros and Cons"

43:11 OpenAI's $40B Funding Round

46:45 IBM Onboarding SOP Manual

50:47 "Revitalize Business with Google Gemini"

52:19 Effective Use of Large Language Models

Keywords:
Gemini 2.5, Google Gemini 2.5 pro, Google's new Gemini, Google's Gemini update, Gemini 2.5 pro unlocked, Large language model, Multimodal, AI Studio, Chain of Thought model, Chain of Thought reasoning, 1,000,000 token context window, Transformer model, Advanced coding, AI Studio vs. Gemini, AI Studio can’t turn off data training, Human preference, Benchmark scores, Self-help coding, AI-powered coding, Business use case, Coding capabilities, Hybrid model, Internet-connected models, PDF transcription, Sentiment analysis, Visual memory game, Interactive quiz, Chicago vibes HTML, Business dashboard, Interactive SOP, Gemini in education, Privacy in AI, Free access to Gemini 2.5, Built-in thinking, AI chain of thought.

Gemini 2.5 Pro Unlocked: Exploring everyday use cases (Pt 2 of

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We gotta talk about this 👇

Everyone and their mama’s out here creating Ghibli-style AI images, but no one’s talking about the most capable AI ever created. 

And it’s available now. 

And for free. 

Let’s talk about (Pt 1 of 2) 

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Topics Covered in This Episode:

1. Gemini 2.5 Pro Background & Review
2. Google's AI Model Update Strategy
3. Tech Hybrid Model Explanation
4. 1,000,000 Token Context Window
5. Advanced Coding Capabilities
6. Multimodal Features in Gemini 2.5
7. Google AI's Free Access Announcement
8. Competitive Benchmark Scores

Timestamps:
00:00 Unscripted AI Insights with Gemini

04:32 SoftBank Funding Hinges on OpenAI's Status

07:01 "Overlooked Potential of Gemini 2.5"

09:33 Gemini 2.5: Chain-of-Thought Model

14:40 "Google Gemini's Unprecedented Triumph"

16:40 Google's New Strategy: Quiet Innovation

21:53 Google's New AI Strategy

24:39 Future-Proofing with AI Models

26:29 "Gemini's AI Excellence in Logic"

32:07 "Testing and Deploying Simple Apps"

35:32 AI Development in Smaller Contexts

37:17 Hybrid AI Models: Google vs. OpenAI

43:02 "OpenAI Overshadows Gemini 2.5"

44:12 "Feedback Needed: Testing Gemini 2.5"

47:33 "Subscribe to Everyday AI"

Keywords:
Gemini 2.5, Google, AI update, Large Language Model, Runway Gen 4, AI-powered video generator, OpenAI, $40 billion funding, SoftBank, Sam Altman, NovaACT, Amazon, AI agent, Alexa Plus, Google DeepMind, Chain of Thought reasoning, 1,000,000 token context window, Coding capabilities. Multimodal, GPT 4.5, Human preference, Elo score, AI Studio, Vertex AI, NotebookLM, Deeper integration, Personalized Gemini, LM arena, 2025 AI predictions, Humanities Last Exam

Gemini 2.5 Pro Unlocked: Inside the world’s most powerful AI model (Pt 1 of 2)

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OpenAI mighta just killed Photoshop (as we know it). ☠️

Microsoft released reasoning agents that are unmatched. 🥊

Yet.... it mighta been Google that had the biggest update of the week with Gemini 2.5 Pro. 🥇

↳ This week was a whirlwind. 
↳ Don't get left behind. 
↳ Get ahead with Everyday AI's weekly segment: AI News That Matters. 

ChatGPT’s groundbreaking image update, Google’s chart-topping Gemini 2.5 drop, Microsoft’s new reasoning agents and more

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Topics Covered in This Episode:

1. Microsoft unveils new AI agents
2. OpenAI's $40 billion funding round
3. Apple's AI-powered health initiatives
4. Elon Musk's XAI acquires Twitter
5. OpenAI updates GPT-4.0 model
6. New York Times vs. OpenAI lawsuit
7. Anthropic's AI model breakthrough
8. OpenAI launches new image generation
9. Google releases powerful Gemini 2.5 model

Timestamps:
00:00 AI's Revolutionary Week Unfolds

03:29 Microsoft Enhances Copilot Studio AI

09:18 SoftBank Leads $40B OpenAI Funding

11:44 "AI Business Growth Challenges and Solutions"

14:28 Apple's AI Health Expansion

18:37 Musk's XAI Acquires X for $45B

23:41 OpenAI GPT-4 Update Surges to Second

24:57 "New GPT-4 O Outperforms Benchmarks"

28:26 Judge Allows OpenAI Copyright Case

33:06 "Universal Concepts in AI Language"

38:18 "Omni-Model Studio Ghibli Craze"

39:32 New Image Model: Text Mastery

43:27 AI Revolutionizes Marketing Campaigns

47:36 AI Chatbot Memory Limitations

50:50 "Gemini 2.5 Outperforms on Benchmarks"

53:00 Tech Giants Expand AI Innovations

Keywords:
AI development, large language model, image model, creative industries, AI lab,  Microsoft Copilot Studio, AI agents, OpenAI, funding round, SoftBank investment, AI strategy, Apple healthcare, AI-powered doctor, AI lawsuits, Anthropic study, large language models, cross layer transcoder, GPT four zero. image generation. multimodal model, ChatGPT, Microsoft 365 Copilot, AI-driven marketing, OpenAI's valuation, Gemini 2.5 Pro, Google AI, AGI (Artificial General Intelligence), determinism in AI, XAI acquisition

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EP 493: ChatGPT’s groundbreaking image update, Google’s chart-topping Gemini 2.5 drop, Microsoft’s new

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How did no one notice these AI Agents? 🤯

 While we’ve all been busy playing with GPT-4o photos and checking Gemini 2.5 benchmarks, Microsoft legit dropped some of the most useful AI agents we’ve seen. 

But how do you use them? And how do they work? 

If only you could get the answers from…… say Ray Smith, the VP of AI Agents at Microsoft?

Oh wait, you can. Join us as we go over Microsoft Copilot’s brand new agents: and the insider tips on how to make them work for you.

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Topics Covered in This Episode:

1. Microsoft Copilot's New AI Agents
2. Insider Tips on Leveraging AI Agents
3. Microsoft VP Ray Smith's Insights
4. Microsoft Copilot Studio Overview
5. Deep Reasoning Capabilities in Copilot
6. New Agent Flows in Copilot Studio
7. Usage-Based Pricing in Copilot Studio
8. Natural Language as Primary Programming Language
9. Role of AI Agents in Businesses
10. Detailed Functionality of Deep Reasoning Agents
11. Integration of Agent Flows in Business Processes

Timestamps:
00:00 Microsoft Copilot's New AI Agents

07:00 Getting Started with M365 Copilot

10:43 Research Agents: Building Blocks for Apps

14:47 Dynamic Use Cases in Business Development

17:50 AI's Transformative Impact

21:11 Enterprise Agent Governance Essentials

24:06 "Integrating Automation with Copilot Studio"

27:59 "Hands-On AI Business Transformation"

Keywords:
AI Development, Microsoft Copilot, AI Agents, Everyday AI Show, Livestream Podcast, Daily Newsletter, Large Language Models, youreverydayai.com, Deep Reasoning Capabilities, Agent Flows, Autonomous Agents, Copilot Studio, Natural Language, RFP Generation, Sales Development, Enterprise Grade Controls, Azure Subscription, Usage-Based Pricing, Power Automate, Reinforcement Learning, Research Agents, Code Generation, Report Generation, Financial Analysis, Multi-Agent Scenario, Business Process, Deterministic Behavior, Generative AI, Experiential Learning, IT Integration.

Microsoft Copilot’s New Agents: Insider tips how to make them work for you

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Agentic AI is AI that does your work, right? ⚙️

And Physical AI is just robots and stuff, right? 🦾

Not exactly. 

When those technologies are applied to the medtech space, though, the meanings change. 

Agentic AI can get you into the doctor faster. 

Phyiscal AI can (literally) save your life. 

Agentic and Physical AI in Medtech: How NVIDIA is Changing the Space

Prerna Dogra knows this all too well. 

She's the Senior Manager for Healthcare AI Products at NVIDIA, and she joined the Everyday AI show to show us how new GenAI advancements in the medtech space are doing more than spitting out quarterly reports. 

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Topics Covered in This Episode:

1. Augmented AI vs. Physical AI in Healthcare
2. Introduction of Prerna Dogra and NVIDIA's Role in Healthcare AI
3. NVIDIA’s Technology Stack and Impact on MedTech
4. Image Reconstruction and Diagnostic Applications with NVIDIA GPUs
5. Robotic Surgery and Personal Impact on Prerna Dogra
6. Current State of AI and GenAI in MedTech
7. Agentic AI and its Current Use Cases in MedTech
8. Agentic AI Systems and Human Expert Involvement
9. Explanation of Three Computer System in AI by NVIDIA
10. Ethical Considerations and Safeguards in Agentic AI
11. Potential Risks of Agentic AI in MedTech
12. Exciting Advancements in Agentic AI and Physical AI in Healthcare
13. Focus on Real-Time AI Processing and Simulation Computers
14. Future Challenges and Opportunities in Robotics and AI in Healthcare

Timestamps:
00:00 NVIDIA's AI Impact in Healthcare

05:56 AI's Impact on MedTech Progress

06:52 GenAI's Impact on Healthcare Transformation

10:20 "Agentic AI Revolutionizes Healthcare Navigation"

13:43 Digital Agents Enhancing Healthcare Delivery

18:13 Agentic AI Progress in Healthcare

21:22 Empowering Communication Through Robotics

Keywords:
augmented AI, physical AI, healthcare, medicine, medtech, generative AI, NVIDIA GTC, agentic AI, host, Everyday AI, livestream, podcast, newsletter, company growth, Prerna Dogra, NVIDIA, product management, algorithm ecosystems, computing appliance, accelerated computing, artificial intelligence, computer vision, MRI, CT scan, robotic surgery, Da Vinci system, prostate surgery, image reconstruction, Epic, MyChart, EMR systems

Agentic and Physical AI in Medtech How NVIDIA is Changing the Space EDAI.

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Imagine this 😲 Your phone has a built-in AI agent. It has access to all your data, info, calls and preferences. 

When someone calls you, their AI agent just talks to your AI agent. Might sound like some distant-off future. But, it's not. 

The Intersection of Generative AI and Telco is continually growing and continually changing what's possible. 

At NVIDIA's GTC event, we talked with a Telco leader who helped us understand how advancements in Generative AI are changing all our communications. 

What's new in Telco? Listen and find out. 

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Topics Covered in This Episode:

1. Generative AI transforming telco industry
2. Lilac Ilan's role at NVIDIA
3. AI's impact on telco operations
4. Examples of AI in telco customer service
5. AI's role in network operation optimization
6. NVIDIA GTC announcements and AI factories
7. Telco involvement in AI factories
8. AI for language and communication
9. Anticipated consumer experiences with AI
10. Cost savings and new revenue for telcos with AI
11. Future of telco industry with AI advancements

Timestamps:
00:00 Generative AI Benefits for Telcos

03:44 AI's Role in Transforming Telecom

09:03 Real-Time Language Translation Era

12:34 AI-Driven Technician Optimization

16:29 AI Services by Telcos Explained

19:21 Future of Telco Industry

21:58 "Subscribe for AI Insights

Keywords:
telco industry, generative AI, NVIDIA GTC conference, global head of business development, telco operations, AI factories, sovereign AI cloud, GPU as a service, AI services, AI for RAN, spectrum efficiency, connected cars, Indonesia AI chatbot, Language models, digital human, call center agents, network optimization, enterprise customers, Mobile World Congress, artificial intelligence advancements, cost savings, AI for healthcare, AI for education, agentic AI, autonomous network, Taylor Swift concert, telecommunications, language translation, bilingual communication, digital transformation.

EP 490: What's new in Telco? How NVIDIA's New Announcements Impact our Future

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Muscles hurt first before you build em. 💪

But once you build it, you're stronger. 

Same can be true with company muscle. And your org might be missing a key piece of the AI puzzle: Operational muscle. 

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Topics Covered in This Episode:

1. Reasons for AI Failure
2. Operational Muscle in AI Strategy
3. Introduction of Andy Lin from Mark three Systems
4. Importance of People, Culture, and Process in AI
5. Need for Cross-functional Teams in AI and Digital Twins
6. Challenges in Enterprise AI Adoption
7. Generative AI vs. Digital Twin Applications
8. Strategies for Starting Small with AI Projects
9. Importance of Explainability in AI and Digital Twins
10. Role of People in Multi-Agent Systems and Digital Twins

Timestamps:
00:00 "Operational Muscle in AI Scaling"

05:31 "Scalable Intelligence through Collaboration"

07:26 Transformative AI in Healthcare Innovation

11:15 Building Operational Muscle with AI

13:38 "Scalable Expertise via AI & Digital Twins"

19:09 Iterative Approach Drives Leadership

22:08 Exploring AI's Impact on Governance

23:51 Building Effective AI Teams

28:20 "Success Through Close-Knit Teams"

Keywords:
 AI strategy, operational muscle, generative AI, NVIDIA GTC, digital twins, AI adoption, centers of excellence, people process culture, enterprise AI, ChatGPT, conversational AI, healthcare life sciences, AI models, unstructured data, scalable intelligence, agentic AI, digital twin simulation, AI education, three d representation, hybrid workforces, AI governance, AI explainability, AI-powered decision making, Fortune 500 companies, modern HPC, research institutions, LLMs (Large Language Models), automation, AI innovation, smart hospitals.

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You prolly missed a lot of this AI news: 👇

Gemini got Canvas 🎨
ChatGPT got a new TTS model 🗣️
Claude finally got the internet 🕸️
NVIDIA re-invented AI computing 💻

And that's barely the surface of this week's BIG AI news. 

Don't waste hours a day worry about AI. 

We'll cut through the nonsense and tell you what it all means during our weekly AI News that Matters segment. 

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Topics Covered in This Episode:

1. NVIDIA's AI Desktop Supercomputers: DGX Spark and DGX Station
2. NVIDIA's AI Data Center and GPU Roadmap
3. Zapier and Microsoft Support for MCP
4. Pennsylvania's AI Pilot Program with ChatGPT
5. Adobe and Microsoft Collaboration on AI Tools
6. OpenAI's Sora Unlimited Access for Paid Users
7. Apple's AI Integration with Wearables and Cameras
8. Federal Government's Generative AI Chatbot by GSA
9. Google's New Features in Gemini: Canvas and Audio Overviews
10. OpenAI's New Voice Models: GPT 4 o Transcribe
11. Claude's Real-Time Web Search Capability

Timestamps:
04:35 NVIDIA Unveils AI Supercomputers

08:05 Run AI Locally, Securely

11:07 NVIDIA's GPU and Platform Upgrade

16:12 AI Training and Strategy Partnership

18:34 Pennsylvania's AI Pilot Boosts Efficiency

23:07 Adobe-Microsoft AI Integration Unveiled

27:23 AI Video Tools: Limited Access 현재

28:08 AI Video Tools: OpenAI's Position

32:29 AI-Powered Image Editing Expands

36:20 Apple's AI Wearables Delayed to 2027

39:14 "AI's Next Leap: Real World Data"

45:13 "Audio Summaries for Documents"

46:08 Create Audio Overviews Easily

52:56 Claude's Delayed Web Access Release

54:03 Weekly AI News Recap

Keywords:
NVIDIA, AI computing, GTC conference, Claude, Internet access, federal government, AI chatbot, MCP support, ChatGPT, voice models, Gemini, AI services, DGX Spark, DGX Station, Grace Blackwell platform, neural networks, AI applications, Zapier, Microsoft, Pennsylvania AI program, Adobe, Microsoft 365, Sora, OpenAI, Apple, wearable devices, cameras, Apple Watch, AirPods, General Services Administration (GSA)

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You're outsourcing your brain to AI 🧠.

Bad idea?

AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.

It’s saving you hours. Maybe days.

But here’s the catch—it's also stealing your critical thinking. Making you reliant.

Maybe even... dumber.

Sumit Gupta knows this first-hand. He’s built data strategies at Notion, Snowflake, and Dropbox. 

And, he’s here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.

Are we trading our brains for convenience? 

Let’s find out.

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Topics Covered in This Episode:

1. Personal use of Generative AI and productivity vs. intelligence dichotomy
2. Jordan Wilson's participation in the NVIDIA conference
3. Introduction of Sameet Gupta as a guest
4. Role and experience of Sameet Gupta at Notion
5. The impact of AI on productivity and critical thinking
6. Examples of AI tools used by Sameet Gupta
7. Challenges of balancing AI use with retaining critical skills
8. Potential risks and costs of over-reliance on AI
9. White coding and its implications
10. Recommendations and personal strategies to maintain skills alongside AI use
11. The influence of AI on different age groups, particularly students
12. Discussion on cost implications of using AI improperly
13. Notion's capabilities in enhancing productivity and retention
14. The future impact of AI on knowledge workers and the workforce
15. Practical advice for business leaders on AI integration and maintaining productivity

Timestamps:
00:00 "Using AI to Stay Sharp"

04:11 Anthropic's Claude Gains Real-Time Web Access

08:02 Streamlining Dashboards with AI

10:48 "GPT for Quick Code Debugging"

15:34 Guardrails Needed for Costly AI Mistakes

17:27 AI for Repetitive Tasks

20:35 Growing Business with AI Expertise

23:20 AI's Impact on Younger Generation

28:04 AI’s Impact on Future Workforce

30:12 "Notion: Beyond Note-Taking"

33:22 "Validate or Lose Job Security"

36:25 Balancing Productivity and Uniqueness

Keywords:
generative AI, large language models, productivity, NVIDIA conference, OpenAI, voice models, GPT-4, transcription, text to speech, real-time streaming, Google AI, Gmail search, AI-powered fea

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You ever autonomously land a robot on Mars? 🪐

Marco Pavone has helped do just that. Marco is NVIDIA's Director, Autonomous Vehicle Research.

His next challenge?

Bring true autonomy to vehicles on the road. 🚘

Yeah, yeah, yeah.

We’ve been hearing that autonomous vehicles are coming for like a decade.

But new announcements at NVIDIA GTC are making that a reality.

Like…. This year.

Join us as we dive in: Autonomous Driving: How new NVIDIA tech will make it a reality -- An Everyday AI Chat with Jordan Wilson and Marco Pavone.

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Topics Covered in This Episode:

1. NVIDIA's GTC Conference and Autonomous Vehicle Announcements
2. Marco Pavone's Background and Role at NVIDIA
3. Introduction to Helios Full Stack System
4. Overview of Current State of Autonomous Vehicles
5. NVIDIA's Role in the Auto and Autonomous Vehicle Industry
6. NVIDIA and General Motors Partnership
7. Changes in Autonomous Driving Technologies
8. Generative AI and Simulation in Autonomous Driving
9. Challenges in Scaling Autonomous Vehicle Deployments
10. Handling Location-Specific Driving Behaviors with Data-Driven Paradigms
11. NVIDIA's Use of Foundation Models and Simulation Technologies

Timestamps:
00:00 "Autonomous Vehicles: A Reality?"

04:52 Autonomous Vehicles: Emerging Consumer Reality

08:53 NVIDIA Expands Partnership in Physical AI

13:00 Advancements in AI and Simulation

15:40 Generative Simulation for Autonomous Vehicles

17:15 Autonomous Vehicle Technology Challenges

23:17 Adapting to Autonomous Vehicle Data

24:06 "Data-Driven Bias in Autonomous Vehicles"

27:53 Key Announcements in Vehicle Autonomy

Keywords:
Everyday AI Show, autonomous vehicles, NVIDIA GTC conference, AI advancements, autonomous driving, robotic systems, safety principles, Tesla autopilot, simulation technology, Internet pretrained models, generative AI, simulation to realism gap, hardware and software tools, NVIDIA Pride, sensor systems, driver assistance systems, GM partnership, physical AI, humanoids, space vehicles, self driving technology, operational design domains, data-driven

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Will we see humanoids in the grocery store soon? 🤖

One of the few sectors of AI advancing at the same pace as LLMs is robotics and humanoids.

Spoiler alert — NVIDA powers the humanoid movement.

So what was announced at NVIDIA GTC?

Will we be seeing humanoids out and about anytime soon?

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Topics Covered in This Episode:

1. NVIDIA GTC Conference and Embodied AI
2. Role of Humanoids and Robotics
3. Introduction to Agility Robotics and Digits
4. State of Humanoids in Logistics and Manufacturing
5. Humanoids' Capability and Shift Operations
6. NVIDIA Inception Program and Agility Robotics
7. New Announcements at NVIDIA GTC
8. Isaac Lab and Whole Body Motion Control Demo
9. NVIDIA Mega Platform
10. Difference Between Robots and Humanoids
11. Evolution in Humanoid Spaces
12. Future Applications Beyond Manufacturing
13. Safety and Integration of Humanoids
14. Onboard Safety System Development
15. Importance and Impact of Humanoids in Robotics

Timestamps:
00:00 Exploring Humanoids and Robotics

03:22 Rapid Advancement of Humanoid Technology

06:46 AI-Powered Robotic Motion Control Advances

11:22 Humanoid Robots Transform Warehouses

13:27 Humanoids in Manufacturing and Logistics

18:04 Developing Cooperative Robot Safety

19:25 Humanoids: A Permanent Robotics Evolution

Keywords:
 NVIDIA GTC, Agility AI, Everyday AI, Humanoids, Robotics, Embodied AI, Agility Robotics, Digits robot, Logistics, Manufacturing, Retail, AI trained stack, NVIDIA Isaac Lab, Mega platform, Whole body motion control, Retail grocery items, Simulation environment, AI advancements, Supervisor safety system, Cooperative safety, GTC announcements, NVIDIA hardware, NVIDIA inception program, Energy storage, Actuation, Sheffler customer, GXO contract, Industrial settings, Warehouse automation, Cognitive function.

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Startups are changing quickly.

That means Venture Capital is changing just as fast. 🏃‍♂️‍➡️

And with that breakneck pace has emerged a surprising trend: the skyrocketing value of domain expertise.

Today, we dive in with a startup and VC leader at NVIDIA. 

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Topics Covered in This Episode:

1. Changing Landscape of AI and Startup Ecosystem
2. NVIDIA's VC Alliance and Startup Support
3. Role of NVIDIA Beyond GPUs
4. NVIDIA Inception Program and VC Alliance
5. Startup Progression to VC Alliance
6. Increasing Integration of AI in Startups
7. Role of Domain Experts in Startups
8. Evolution from Tech-focused to Problem-focused Startups
9. Challenges for VCs and Startups in Rapid AI Innovation
10. Importance of Domain Expertise in AI-driven Startups
11. Trends in Venture Capital and Startup Strategies with AI

Timestamps:
00:00 "Everyday AI: NVIDIA GTC Live Coverage"

04:06 VC Alliance: Inception Program Subset

08:17 AI Opportunities for Non-Tech Companies

10:36 "VCs Value Deep Problem Understanding"

13:09 AI Research vs. Human Expertise

18:39 Product Market vs. Investment Challenges

19:54 VCs Cautious in AI Investments

22:33 Entrepreneurial Opportunities for Laid-Off Experts

28:11 Leverage AI for Research Insights

30:25 Domain Experts’ Unique Value

31:47 "Daily AI Tune-In"

Keywords:
Generative AI, Venture Capital, NVIDIA GTC, Startup Ecosystem, Industry Experts, AI Optimization, AI Implementation, NVIDIA VC Alliance, Inception Program, GPU, Software, Open Source Models, Platform Support, Investment Side, Portfolio Companies, Domain Experts, Large Language Models, Commoditization of Knowledge, AI Integration, AI Landscape, Problem Solving, AI Accessibility, AI-Powered Startups, Rebalancing Ecosystem, Customer Reach, Product Market Fit, Breakneck Pace, Traction, AI Innovations, AI Day for VCs.

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OpenAI and Google are essentially asking the federal government to skip the whole copyright law. 🤔

Deepseek is essentially asking its employees to stay in China. 🤔

And Apple is essentially asking themselves internally…. WTF. How did we drop the ball on AI? 🤔

Don't waste hours each day trying to figure out what the latest in AI developments mean for you or your company. 

We break it down in this week’s The AI News That Matters.

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Topics Covered in This Episode:

1. OpenAI and Google seek copyright law exemption for AI model training
2. DeepSeek restricts employees' travel over data security concerns
3. Google's Gemini 2.0 updates and language model advancements
4. Elon Musk versus OpenAI legal dispute on for-profit model
5. Apple's AI challenges and Siri development issues
6. OpenAI and Google fair use protection proposal to US government
7. DeepSeek's state control and US government response
8. OpenAI's new agents SDK platform for AI agent development
9. Chatbots' shortcomings in retrieving and citing news content
10. NVIDIA's GTC conference and implications on the economy
11. Zoom's AI advancements and new features announcement

Timestamps:
00:00 Everyday AI News and Insights

03:52 Google's Gemini 2.0 Unveiled

09:44 Nonprofit to Profit: Musk Strategy

13:19 Siri Feature Delays and Challenges

17:20 Generative AI Partnerships & Copyright Debate

18:54 US AI Strategy: Copyright Vs. Security

24:16 AI & Copyright: Future Implications

27:41 China Restricts AI Expert Travel

29:47 OpenAI's RAG Tool Challenges Vendors

34:31 Caution on Grok and Perplexity

38:29 OpenAI Urges U.S. Ban on DeepSeek

42:22 AI Industry Challenges Affecting Economy

43:32 NVIDIA's Dominance in AI Hardware

47:00 Zoom Expands with AI Features

50:28 "Exclusive GTC Coverage & Insights"

Keywords:
OpenAI, Google, Federal government, Copyright law, Everyday AI, AI news, Gemini two point o Flash Thinking, Multimodal capabilities, Image generation, SEO, NVIDIA GTC conference, AI updates, Google Wor

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Google woke up mid March and chose madness. 

Gemini is refreshed.

Deep Research is supercharged. 

Gemma 3 is a tiny heavyweight. 

Whuuuuuuut. 

Who saw this coming? 

We break down what's new and how it changes the LLM race. 

Google’s surprise AI releases: What’s new and how it changes the LLM race -- An Everyday AI Chat with Jordan Wilson 

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Topics Covered in This Episode:

1. Google's Surprise AI Releases
2. New Gemini 2.0 Features
3. Google AI Studio Updates
4. Deep Research Enhancements
5. Gemini Personalization Mode
6. Gemini Robotics for Physical Actions
7. Notebook LM Updates with Gemini 2.0
8. Gemma 3 Small Language Model

Timestamps:
00:00 "Explore AI Insights & Resources"

04:25 "NVIDIA GTC Conference Insights"

07:38 Google's Gemini Release Missteps

10:02 "Google Gemini 2.0 Overview"

14:20 "Optimizing Workflow with Google AI"

19:37 "Gemini Chatbot's Deep Research Feature"

23:11 New Features in Google Workspace

25:53 YouTube TV Personalization Issues

30:09 Google Gemini 2.0 Robotics Update

32:06 Google's AI Data Strategy Shift

37:09 Notebook L M: Notes with Citations

40:46 AI: Cloud Risks & Paid Privacy

43:57 Future of AI on Mobile Devices

44:49 "Evaluating Language Models with Elo Scores"

49:06 AI Model Cost Revolution 2025

51:33 "Subscribe, Rate & Share Now"

Keywords:
Google AI updates, Gemini models, AI race, Daily livestream podcast, Free daily newsletter, Google Workspace, Large language models, AI Studio, Flash thinking, Inline image generation, Deep research, Reasoning models, Personalized Gemini, Google Gems, Robotics, Midjourney, Notebook LM, AI-powered insights, NVIDIA partnership, Open source, DeepSeq, ELO scores, Small language models, Google's deep research, Workspace data protection, AI search history, Gemma three, Google Robotics, Local AI models, Real-world data.

EP: 482 Google’s surprise AI releases: What’s new and how it changes the LLM race. Gemini 2.0 Flash Thinking, Deep Research 2.0, Gemma 3 and more.

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Maybe we should just skip the whole AGI thing? 🤷‍♂️

And instead focus on something ..... useful?

Ruchir Puri thinks that's the way forward. 

Ruchir, IBM Research & IBM Fellow, knows a thing or two about AI and how to make it useful. 

For decades, he's helped develop the world's biggest AI breakthroughs, like IBM Watson. 

Don't miss this convo if you're ready to make AI a bit more useful. 

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Topics Covered in This Episode:

1. Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)
2. Ruchir Puri’s Background in Automation and AI at IBM
3. Discussion of AGI’s Unclear Definition and Historical Milestones (Deep Blue and Watson)
4. Breakdown of Intelligence into IQ, EQ, and RQ
5. Emphasis on AUI’s Practical Uses in Daily Life and Business
6. Evolution of Human Work Due to AI Advancements
7. IBM's Software Engineering Agent for Developer Productivity
8. Importance of Feedback Systems and Intelligent Agents
9. Steps for Business Leaders: Education, Strategy, and Skill Development

Timestamps:
00:00 Everyday AI Podcast & Newsletter

03:57 Debating AGI and Scaremongering

09:31 Evolution of Knowledge Work

10:47 Seamless Language Generation's Impact

13:57 AI's Growing Reasoning Abilities

19:18 "Software's Dominance and Developer Focus"

22:22 AI Solutions for Cybersecurity Challenges

26:40 ChatGPT Struggles with Math

29:32 Preparing Human Skills for AI's Rise

30:35 "Embrace and Strategize with AI"

34:00 "Subscribe for Daily AI Insights"

Keywords:
artificial intelligence, AI podcast, large language models, LLMs, artificial general intelligence, AGI, artificial useful intelligence, AUI, IBM, AI in business, AI strategy, AI implementation, machine learning, deep blue, jeopardy, Watson, Granite models, reasoning AI, agentic AI, AI in software development, AI tools, AI automation, generative AI, EQ, RQ, IQ, AI reasoning, AI technology, AI in careers, AI and human skills, AI in enterprises.

EP: 481 The case for artificial useful intelligence (AUI) over AGI

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Think AI is hitting a wall? 🧱 Nope. 

This is just the start. Actually, we're at Day Zero. Here's what that means, and how you can move your company ahead. 

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Topics Covered in This Episode:

1. Generative AI's current phase
2. Meta's in-house AI chips development
3. OpenAI's new developer tools
4. Day zero of AI and future prospects
5. Reinforcement learning advancements
6. Emergent reasoning capabilities in AI
7. Business implications of AI advancements
8. AI in healthcare and science

Timestamps:
00:00 Meta's In-House AI Chips Unveiled

03:31 AI Tools Enhance Customization & Access

09:02 Reinforcement Learning Enhances AI Reasoning

11:27 Agentic AI: The Future of Tasks

15:59 Tech Potential vs. Everyday Utilization

18:48 AI Models Offer Broad Benefits

23:15 "Generative AI: Optimism and Oversight"

27:08 Generative AI vs. Domain-Specific AI

29:24 Superhuman AI: Next Frontier

31:38 "Subscribe to Everyday AI"

Keywords:
Generative AI, Fortune 100 leaders, chat GBT, Microsoft Copilot, enterprise companies, day zero of AI, livestream podcast, free daily newsletter, leveraging AI, capital expenditures, Meta AI chips, Nvidia, Taiwan's TSMC, AI infrastructure investments, Amazon, Google, Microsoft, OpenAI, responses API, agents SDK, legal research, customer support, deep research, agentic AI, supervised learning, reinforcement learning, language models, health care, computational biology, AlphaFold, protein folding prediction.

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Limits? 😅 Microsoft's getting rid of them for free users on some SUPER useful AI features. 

Between headline-grabbing LLM updates from OpenAI, Grok, Claude and others, Microsoft snuck in some HUGE AI updates for free Copilot users. 

Find out what they are and how to use them. 👇

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Topics Covered in This Episode:

1. New Copilot Features from Microsoft
2. Use of OpenAI Models in Microsoft Copilot
3. Confusion About Access to Microsoft 365 Copilot
4. Microsoft 365 Copilot Free Features
5. Think Deeper Feature Powered by O1 Model
6. Copilot Voice Mode Issues
7. GitHub Copilot Free Code Completions
8. Microsoft 365 Copilot Chat Free Version
9. Differences Between Copilot Tiers

Timestamps:
00:00 Exploring Microsoft Copilot Features

04:07 Microsoft Copilot: Pros, Cons, Access

07:08 Better Than GPT's Free Plan

11:19 "Inconsistent Copilot Experience on Mac"

16:56 Microsoft 365 Copilot Chat Unveiled

19:21 "Copilot Expands with Free Features"

22:23 Microsoft Copilot Subscription Confusion

27:46 Microsoft 365 Copilot Chat Cost

30:57 Personal vs. Business Interface Guide

34:00 "Think Deeper Mode Activation"

36:42 Boost YouTube Views: 5 Tips

39:51 Longer Videos Boost Engagement

42:24 Improving Data Processing Limitations

47:57 Voice Mode Technical Glitch

49:23 Advancements in AI Copilot Tools

Keywords:
Microsoft Copilot, OpenAI, AI announcements, large language model, Copilot product, Google, DeepSeek, Anthropic Claude, AI tools, AI technology, large language model releases, free users, Microsoft 365 Copilot, business growth, leveraging AI, AI news, free daily newsletter, Copilot features, AI podcast, Microsoft Ignite conference, Think Deeper, O1 model, reasoning model, Copilot voice mode, GitHub Copilot, code completions, Microsoft 365 Copilot chat, enterprise security, Copilot Pro, ChatGPT, cloud integrations, enterprise customers, AI coding assistance, dynamic files.

EP 479: Microsoft Copilot beyond limits: Exploring new free Copilot features

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An AI agent that costs $20,000 a month? 🤑
Are Microsoft and OpenAI fighting? 🥊
And why does Meta have its eyes sets on hundreds of millions small businesses? 😧
Don't waste hours each day trying to figure out what the latest in AI developments mean for you or your company. 

Instead, join us on Mondays for the AI News That Matters. 👇

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Topics Covered in This Episode:

1. Microsoft and AI Sales Agents
2. Reflection AI and Funding
3. Manus by Chinese Startup Monica
4. Meta's AI Vision
5. Anthropic's Proposal for AI and National Security
6. Google's AI Mode in Search
7. Alibaba's QWQ 32B Model
8. OpenAI's ChatGPT Desktop App Update
9. OpenAI's $20,000 Monthly AI Agent Plan
10. Microsoft's Exploration of AI Options Beyond OpenAI

Timestamps:
00:00 "AI Innovations and Industry Shifts"

03:47 Salesforce vs. Microsoft: AI Agent Battle

06:24 Reflection AI's Autonomous Superintelligence Vision

10:55 Manus AI Challenges OpenAI

13:23 Early Access Tech Review Prospect

16:24 Meta's Expanding AI Vision

22:54 Google's AI Mode: Enhancing Search

27:18 Small Model Beats Giants in AI

28:42 Chinese AI Models Surpassing Western Rivals

34:44 OpenAI Launches Premium AI Agents

36:21 OpenAI's Potential Revenue Shift

39:27 Advanced GPT-5 Model Insights

43:05 Microsoft's Backup AI Plan

48:27 AI Advancements Span China to Silicon Valley

50:51 Subscribe for Daily AI Updates

Keywords:
autonomous agent, Meta AI, OpenAI, Microsoft Copilot, AI innovation, AI news, NVIDIA GTC, Reflection AI, Salesforce CRM, AI sales agents, Google DeepMind, AI coding tool, artificial general intelligence, China's AI agent, Claude model, Alibaba QWQ model, AI business applications, classified info sharing, Google AI mode, Anthropic, Meta AI agents, open source AI, ChatGPT desktop app, professional AI agent, AI security, AI development, Microsoft AI strategy, Llama, generative AI, AI startup

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(Almost) Everyone hates the medical system. It's slow. It's expensive. It's archaic. GenAI is starting to change that. Find out how from an industry leader. Putting patients first with medical AI.

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Join the discussion: Ask Jordan and Lina questions on AI bias

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Introduction to Everyday AI Show
2. General Discussion on AI in the Medical Field
3. Overview of Recursion and Lina Nilsson's Role
4. Advancements and Impact of Medical AI
5. Role of Large Language Models (LLMs) and AI Models in Medical AI
6. Predictive and Preventive Applications of AI in Healthcare
7. Future Directions and Considerations in Medical AI
8. Conclusion and Final Thoughts

Timestamps:
 00:00 Everyday AI Podcast Intro

05:05 CRISPR: Revolutionary Genome Editing Technology

08:10 Streamline AI Strategy, Achieve ROI

13:01 Data-Driven Science Evolution

14:42 Reducing Drug Costs with AI

17:55 "LLMs Revolutionize Scientific Research"

23:45 AI Advancements May Double Lifespan

25:23 AI-Driven Drug Discovery Insights

Keywords:
AI, drug discovery, generative AI, machine learning, medical field, healthcare, Recursion, CRISPR, biotechnology, models, human genome, dataset, protein structure, large language models, transformers, FDA, pharmaceuticals, rare diseases, clinical trials, data-driven, drug approval, artificial intelligence, patient care, healthcare affordability, innovation, medicine, bioinformatics, aging, disease prevention, scientific research.

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Training data is biased. Humans are flawed. Which is a major reason AI can fail – cognitive bias. Anatoly Shilman, CEO of Cogbias AI, joins us as we chat about what cognitive bias is in AI, why it's important, and what we can all do about it.

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Join the discussion: Ask Jordan and Anatoly questions on AI bias

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Understanding Cognitive Bias
2. Cognitive Bias in AI Models
3. Training Data and Model Development
4. Future of AI and Managing Bias

Timestamps:
02:00 Daily AI News
06:16 Cognitive Bias Mitigation Platform
08:50 AI Enthusiasm vs. Cautionary Tales
12:48 AI Bias Stems from Human Bias
16:14 Influence of System Prompts on Bias
19:46 AI Information Parsing Challenges
20:56 AI Training and Labeling Challenges
24:05 "Achieve AI Success with Expertise"
28:23 Bias and Diversity in AI Models
31:33 Addressing Cognitive Bias in Data

Keywords:
Cognitive bias, AI failure, large language models, ChatGPT, Gemini, Copilot, Claude, bias reflection, AI news, AI sales tools, Microsoft, Salesforce, Microsoft 365 Copilot, Sales Agent, Sales Chat, Google, AI mode, Google One AI Premium, Gemini 2.0, OpenAI, AI agents, enterprise automation tools, confirmation bias, heuristic, framing bias, hallucination, training data, model perception, data labeling, reasoning models, agentic environments.

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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: info@youreverydayai.com
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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You know the details. But do you know what it can do? OpenAI's newest model, GPT-4.5, is out and very impressive. But do you know the best use-cases on how to use it? Join us and find out.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on OpenAI

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Overview of GPT-4.5
2. Comparison of Models
3. Tools Available in GPT 4.5
4. Demonstration and Analysis of GPT 4.5

Timestamps:
00:00 Exploring GPT 4.5's Usability
04:14 "GPT-4.5 Comparison and Basics"
08:18 GPT 4.5's Surprising Success
12:04 Adopting AI Platforms for Business
13:47 GPT 4.5 Tools Overview
16:27 "GPT-4.5: Relatable and Reliable"
21:21 GPT-4.5 Uses and Benefits
30:40 "GPT-4.5: More Concise Responses"
33:38 Preference for Second Version
45:25 Boost Success with Specific Goals
49:35 Avoiding Compound Sentence Overload
51:16 "Four Five's Superior Content Structure"
55:12 Enhancing Communication with AI's EQ

Keywords:
GPT 4.5, large language model, OpenAI, emotional intelligence, benchmark, AI news, chat GPT, generative AI, live demo, relatable AI, reliable AI, GPT 4.5 capabilities, AI podcast, AI livestream, AI newsletter, AI model comparison, IQ test for AI, non-reasoning model, chat GPT tools, Canvas mode, AI in business, GPT 4.5 user experience, email writing with AI, motivational message, LLM arena, AI in content writing, AI for coding, content writing techniques, AI empathy, AI emotional cues, AI reliability.