Meta's AI has reportedly been trained on sensual talk to minors. Yikes.

OpenAI has responded to GPT-5 backlash in a strange way.

Google keeps dropping more and more AI updates.

Don't waste hours a week trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News that Matters.

No fluff.

No corporate marketing. No B.S.

Just what you need to know to stay ahead.

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. OpenAI Updates: GPT-5 Backlash & Model Changes
2. GPT-4o Sycophancy Removal & User Reactions
3. Multi-Mode GPT-5 Model Selection Launched
4. Google AI Summaries Slash Publisher Referral Traffic
5. Google Gemma 3 2.70M Small Language Model Release
6. US Government Considers Intel Equity Stake for AI Chips
7. Grok NSFW Imagine Tool Prompts FTC Probe
8. Meta AI Training Data: Minor Safety Controversy
9. Senate Probes Meta Over Sensual Chatbot Risks
10. Sam Altman Backs Merge Labs for Brain-Computer Interfaces
11. Perplexity’s $34.5B Offer for Google Chrome
12. Anthropic Claude $1 Access for US Government
13. Apple’s Shift to AI Hardware, Robots & Smart Home
14. Google, OpenAI, Anthropic Push Free AI in Public Sector

Timestamps:
00:00 "Tech Giants' AI Shifts"

05:35 OpenAI Balances Old and New Needs

07:36 AI Impacting Publisher Revenue and Traffic

11:50 Google's Gemma 32 70 Model Launch

13:18 Small AI Models & Intel's U.S. Stake

18:16 Consumer Groups Demand Grok Investigation

20:22 Criticism of XAI's Content Policies

24:07 Altman vs. Musk: BCI Rivalry

30:26 Anthropic and OpenAI's Federal AI Strategy

32:08 Tech Giants Push AI in Education

36:46 Apple's AI Hardware Ambitions

39:18 Meta AI Probe: Child Safety Concerns

45:28 AI News Highlights This Week

Keywords:
GPT-5, OpenAI, GPT-5 backlash, GPT-4o, AI models, message cap, chatbot personalities, Sam Altman, AI writing, AI coding, AI science, AI tone, AI validation, model selection, legacy models, generative AI, Google, Google Gemini, VO3, AI video generation, Pro plan, Ultra plan, AI news, Apple, AI hardware, Apple pivot, smart home AI, Apple robot, Siri overhaul, Vision Pro, Meta, Meta AI, AI training, minors and AI, Sen

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The Gemini 2.5 family of models is now Generally Available. Start building today in Google AI Studio at ai.dev

Confused by AI jargon and unsure which tools actually move the needle for your business?

We break down the real differences between traditional algorithms, large language models (LLMs), and agents — including agentic AI — and give practical guidance leaders can use now.

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More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo.

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. Choosing AI: Algorithms vs. Agents
2. Understanding AI Models and Agents
3. Using Conditional Statements in AI
4. Importance of Data in AI Training
5. Risk Factors in Agentic AI Projects
6. Innovation through AI Experimentation
7. Evaluating AI for Business Solutions
   
   

Timestamps:
00:00 AWS AI Leader Departs Amid Talent War

03:43 Meta Wins Copyright Lawsuit

07:47 Choosing AI: Short or Long Term?

12:58 Agentic AI: Dynamic Decision Models

16:12 "Demanding Data-Driven Precision in Business"

20:08 "Agentic AI: Adoption and Risks"

22:05 Startup Challenges Amidst Tech Giants

24:36 Balancing Innovation and Routine

27:25 AGI: Future of Work and Survival

Keywords:
AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.

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Work is changing from human-led to AI-powered autonomy.

How should we all prepare?

And how can we even trust an AI-powered workplace when most people can't even explain the basics of AI?

We're learning from the experts.

Accenture's Mary Hamilton joins the Everyday AI show to talk about building trust in an autonomous workplace, how we can prepare for the future of work, and four emerging AI trends you can't miss.

Don't miss this.

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More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.

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. AI-Powered Autonomy Shaping Future Work
2. Generative AI’s Impact on Business Transformation
3. Accenture Technology Vision 2025 Overview
4. Key Trends: Autonomy and Enterprise AI Adoption
5. Human Capability Expansion via AI Tools
6. Trust, Explainability, and Responsible AI Practices
7. Agentic AI Models and Productivity Shifts
8. Continuous Learning Loops in Workplace AI
9. AI-Powered Robotics and Multimodal Integration
10. Personalization and Brand Voice with AI Agents
    
    

Timestamps:
00:00 "AI's Impact on Business Autonomy"

03:33 Accenture's Global Consultancy Overview

09:48 Technology as a Game-Changing Partner

12:16 Reinventing Responsible Tech Use

14:31 Building Trust Through AI Interactions

18:17 Building Trust in Enterprise Data

23:20 Embracing AI: Active Learning Loop

26:24 "Embracing Efficiency with AI Agents"

Keywords:
AI powered autonomy, generative AI, large language models, future of work, automation, business transformation, Accenture, innovation centers, strategic visioning, co-creation, ecosystem partners, digital core, technology consultancy, technology reinvention, enterprise AI adoption, operational efficiency, Technology Vision 2025, AI trends, human-like capabilities, language barrier, technology acceleration, digital agents, digital transformation, customer interaction, trust in AI, responsible AI, data platform, knowledge graphs, AI-driven robotics, warehouse automation, personalization at scale, brand voice in AI, digital twin, agentic models, observability, traceability, explainability, continuous learning loop, employee upskilling, generative AI productivity, change management, value-driven outcomes, super agents, utility agents, orchestrator agents, AI partner, human agency, AI collaboration, AI model accuracy, enterprise adaptation, digital twin technology, business process automation, AI in branding, personalized AI assistants, AI-powered design tools, responsible data usage, AI-enabled content creation

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Ready for ROI on GenAI? Go to youreverydayai.com/partner