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

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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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
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Topics Covered in This Episode:
1. the Importance of Data
2. Challenges and Opportunities in Leveraging Data
3. Adoption of Data Practices
4. Data Use Case Examples
5.Generative AI, LLMs, and Data Integration

Timestamps:
00:00 Empower AI proficiency with daily insights.
06:02 Data observability ensures reliability and issue resolution.
07:15 Understanding data's importance is crucial for businesses.
13:07 Personalized AI relies on unique enterprise data.
15:20 Large enterprises struggle with data consistency, smaller teams advantage.
19:42 Generative AI analyzes sports data for insights.
22:56 Personalized financial products using reliable data.
23:56 Credit Karma Intune boosts external and internal productivity.
28:02 Peak data reached; synthetic data becomes crucial.
30:36 Recap available on your everydayai.com.

Keywords:
Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.

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