A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.

China's open models just closed the gap with America's best, oftentimes at a fraction of the price.

Now both governments are moving to wall off their AI within days of each other.

Why? Because this was never about benchmarks. It's about power y'all. 

We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. 

The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You -- An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. U.S.-China AI Cold War Overview
2. Chinese AI Models Closing U.S. Gap
3. Government Restrictions on AI Model Access
4. Economic and Geopolitical AI Power Struggle
5. Risks for U.S. Businesses Using Chinese AI
6. Open Source vs. Closed Source AI Debate
7. Chinese AI Model Pricing Undercuts U.S.
8. AI Model Distillation and U.S. Security Concerns
9. Enterprise AI Cost-Effectiveness Benchmarks
10. Microsoft Testing Chinese AI Deployments
11. Future AI Model Export Controls & Strategies
12. Recommendations for AI Model Sourcing and Risk

Timestamps:

00:00 US-China AI tensions escalate

04:30 Switching to Chinese AI models

08:47 US vs China in open source models

11:39 China's narrative control efforts

14:42 Challenges in AI model development

18:25 Differentiating open source strategies

23:04 AI model cost-effectiveness analysis

26:31 US measures against model distillation

29:38 Discussing Microsoft's use of AI models

31:17 Controlling export of AI models

Keywords: 

US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctions

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

There’s (another) new open source king of AI. 👑

Kimi’s K3 might shake the open source landscape, but we’ll tell you why it’ll probably have less of an impact than you might think. 

That probably wasn’t the biggest news of the week in AI world, though, as Microsoft CEO Satya Nadella reportedly torched Anthropic. 

(Which might seem normal from AI company to AI company, but not when Microsoft has a $5 billion stake in Anthropic.) 

If you took your foot off the AI gas this week, we’ll get you caught up quickly with our AI News That Matters. 

Kimi K3 surprises, Gemini 3.5 Pro Delayed Again, Microsoft CEO Reportedly Criticizes Anthropic and more AI News — An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Meta AI Layoffs Lawsuit: Discrimination Claims
2. Google DeepMind Proposes Unified AI Watchdog
3. OpenAI Smart Speaker Hardware Leak Details
4. Kimi K3 Trillion-Parameter Open Source Model
5. Kimmi K3 Benchmarks vs GPT-5.6 Soul, Fable 5
6. Google Gemini 3.5 Pro Model Release Delayed
7. Microsoft CEO Nadella Criticizes Anthropic Fable 5
8. Anthropic Fable 5 Data Retention Enterprise Policy
9. Quinn 3.8 and Inkling AI Large Model Launch
10. Suno Data Scraping Leak and AI Music Training
11. Google AI Mode Integrates Canva, Instacart, YouTube
12. Anthropic Extends Fable 5 Access to Max Users
13. Apple Testing PrismL Model Compression on iPhones
14. Perplexity Rolls Out Self-Improving AI Memory
15. ChatGPT Universal Search and Work Features Update

Timestamps:

00:00 Meta lawsuit over AI layoffs

03:21 Meta lawsuit over protected leave

07:11 Major tech leaders back AI regulation

11:45 OpenAI's AI-powered smart speaker

14:12 Introducing Kimi k three AI model

20:19 Google delays Gemini 3.5 Pro release

23:33 Partnering with Top Tech Companies

26:03 Anthropic criticism and Azure investment

28:41 Anthropic's data retention policy

31:49 AI developments and tech updates

35:29 Upcoming AI releases and trends

Keywords: 

Kimmy K3, Moonshot AI, open source AI model, 3 trillion parameter model, Chinese AI, Alibaba, Tencent, AI lawsuits, Meta layoffs, AI-powered layoff decisions, internal AI systems, keystroke monitoring, Anthropic Fable Five, Mythos Five, Google DeepMind, Demis Hassabis, AI regulatory watchdog, FINRA-style oversight, Satya Nadella, Microsoft AI, Anthropic criticism, editorial controls, zero data retention, AI companion device, OpenAI hardware, ChatGPT sync, Apple lawsuit, personal AI speaker, model benchmarks, GPT-5.6 Soul, AI model competition, Gemini 3.5 Pro, Alphabet, model delay, software code generation, AI cloud infrastructure, enterprise AI, AI training data, AI security, generative AI, AI model export restrictions, US-China AI rivalry, AI market impact, fine-tuning large models, AI model pricing, data center construction moratorium, cybersecurity patching, AI job impact, Nobel laureates AI letter, AI search, Spotify voice assistant, Gemini personal avatars, Perplexity AI, Claude Code, Codex, project management AI, AI memory features.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

Is Kimi K3 the shocker of 2026? 

Could be. 

Now, we have a new (soon to be) Open Model that’s competing with Fable 5 and GPT-5.6, a feat few would have believed possible. 

And that was the only new and important drop this week in AI. 

Claude brought useful browser to the desktop, ChatGPT made a big fix to how ChatGPT Work works and Google rolled out avatars that could change content creation. 

Don’t miss our Friday Features show, where we recap the most important AI updates and features you can use today. 

Claude Desktop Gets Upgrade, New Open Source Model Shocks, ChatGPT Desktop Gets Better and 7 More AI Features You Can Use Today -- An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Anthropic Claude Desktop App Browser Upgrade
2. OpenAI ChatGPT Work Desktop App Improvements
3. ChatGPT Universal Search Feature Launch
4. Superhuman Email Auto-Draft with GPT-4
5. Spotify AI Voice/Text Conversation Feature
6. Gemini Omni Personal Avatar Video Creation
7. Google Vids Integration with Personal Avatars
8. Moonshot Kimmy K3 Open Source Model Release
9. Kimmy K3 vs Fable 5 and GPT-5.6 Benchmarks

Timestamps:

00:00 New open source AI model release

03:41 Microsoft Copilot and Claude app updates

07:22 Improving chat history search

12:30 Spotify's data personalization benefits

14:52 Launching Google Avatar Feature

18:24 Mainstream avatar video tools

21:33 Improved ChatGPT project syncing

24:15 Introducing Kimmy K Three Model

29:30 New Kimmy k three for enterprises

30:45 Friday feature show wrap-up

Keywords: 

Claude desktop, Claude desktop upgrade, open source AI model, proprietary AI, open vs closed AI, Anthropic, built-in browser, Claude app, API docs, browser integration, permissions card, security layers, ChatGPT desktop app, OpenAI, universal search, ChatGPT search, chat history, project sync, mobile AI apps, Codex, ChatGPT work, Codex mode, Superhuman mail, auto draft, Anthropic Frontier models, GPT-3.5, Gmail integration, Outlook integration, Spotify, Talk to Spotify, personalized AI conversation, Gemini Omni, Google Gemini, personal avatars, Google Vids, video editing AI, video avatars, L&D AI, content creation with AI, Kimi k3, Moonshot AI, 2.8 trillion parameter model, 1 million token context, vision mode, benchmark leaderboards, Fable 5, GPT 5.6, Opus 4.8, open model weights, self-host AI, enterprise AI solutions, long context AI, front-end design AI, subscription AI tools, API pricing, AI benchmark, arena rankings

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

You've probably never heard of Inkling. 

It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape. 

If you haven’t heard of Thinking Machines, they’re led by Mira Murati, the former CTO at OpenAI. 

The big bet with Inkling? 

The future of AI could be using smaller models fine-tuned and optimized for smaller tasks. 

Will it work? 

Tune in live as we dive in. 

The Most Important AI Model You’ll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Inkling AI Model Launch Overview
2. Thinking Machines Lab Leadership Highlight
3. Inkling's Multimodal and Agentic Capabilities
4. Open Source vs. Proprietary AI Models
5. Enterprise Procurement with American AI Models
6. AI Fine Tuning as a Service (Tinker)
7. Benchmark Scores: Inkling vs. Frontier Models
8. Customization and Model Shopping for Enterprises
9. AI Token Costs Driving Model Efficiency
10. Bridgewater Case Study: AI Model Customization
11. Frontier Models Enabling Efficient Fine-Tuning
12. Future Trends: Specialized Small Language Models

Timestamps:

00:00 Inkling: A new AI model release

05:43 Inkling AI model details

09:08 China's dominance in open source AI

11:48 Launch and model updates discussed

15:21 Concerns over using Chinese open-source models

19:06 Training smaller AI models

20:22 Using GPT for AI Model Training

23:54 Predicting Rise of Small Language Models

28:38 Choosing the right AI model

Keywords: 

Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

OpenAI's new ChatGPT Work is on fire. 🔥

The company said they've added 2 million users in the past two days alone. 

Wanna know a secret about it though? 

(It's kinda not new at all. It's just Codex in Chat clothing.) 

Regardless, millions of new users are realizing for the first time what it means to have an agent that can work for them 24/7. And even if you're not a technical builder, it's pretty easy to set up a swarm of agents to help with any kind of work. 

We show you how. 

ChatGPT Work: What’s New, Who It’s For and How to Use It -- An Everyday AI Chat With Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. ChatGPT Work vs Codex Comparison
2. OpenAI's Viral ChatGPT Work Launch
3. Key Differences: Desktop vs Web Versions
4. ChatGPT Work User Growth and Backlash
5. Remote Access and Computer Use Features
6. Agentic AI: Multiple Agents on Desktop
7. Advanced Workflow Automation Capabilities
8. Syncing and Integration Challenges Explained
9. Detailed Demo: Site and Skill Creation
10. Power User Features: Sub-Agents & Goals

Timestamps:

00:00 Chad GPT Work launch details

04:03 Confusion over ChatGPT update

09:20 Preparing AI news stories

12:32 Highlighting improved computer use

13:57 2 million new users in 48 hours

17:35 Chat syncing and organization benefits

21:17 Model's unique context handling

25:59 Discussing Beehive and audience insights

29:50 Exploring Desktop AI Features

31:22 Ending and subscription reminder

Keywords: 

ChatGPT Work, ChatGPT for Work, OpenAI, Codex, Codex app, Codex for beginners, Codex update, AI agent, agentic AI, desktop AI app, web AI app, ChatGPT desktop, ChatGPT web, GPT-5.6, GPT 5.6 Soul, nontechnical AI users, business deliverables, remote feature, remote mode, mobile AI syncing, AI-powered automation, sub agents, multi-agent workflows, computer use, browser use, built-in browser, technical AI tasks, non-coders, usage credits, artifacts, interactive dashboards, AI context window, auto compaction, agent MD files, custom instructions, chain of thought, plan mode, steering, queuing, looping processes, context syncing, cloud code, team plan, private AI sites, personalized AI outputs, persistent agent workspace, skill creation, manual knowledge work.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

Of course you need data to fuel your AI. You know what's just as helpful though? 🤔

Decisions. 

And the conversation and rationale behind it.

As agents become more mainstream, the required structured data only goes so far. 

↳ What about how your team makes decisions? 
↳ Or the real reasons why one RFP landed and one flopped? 
↳ Or where Deborah in accounting keeps saving that KPI sheet and if it's actually approved or not? 

(Cmon Deborah.) 

The big advantage moving forward is giving your agents access to the rationale and context of your team's conversations. 

And that's the big unlock that Slack just unveiled. 

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Shift from Single-Player to Multiplayer AI Collaboration
2. Slackbot as AI Personal Assistant Overview
3. Integrating AI Agents Across Enterprise Systems in Slack
4. Unlocking Organizational Knowledge from Slack Conversations
5. Building and Iterating in the Open with Slack
6. Slackbot’s Role in Headless, Agentic Workflows
7. Enhancing Productivity with Slackbot’s Contextual Actions
8. Transitioning Business Strategy for Multiplayer Agentic Orchestration

Timestamps:

00:00 Managing Slack and Salesforce Growth

05:45 Navigating apps with Slackbot assistance

09:37 Using Slackbot to monitor channels

12:51 Building in the open with AI

16:07 Shopify's AI deployment strategy

17:00 Collaborative learning with Slack channels

22:04 Using Slack for CRM insights

24:41 Using Slack and AI Agents

27:23 Slack as a work operating system

29:41 Episode wrap-up and newsletter promo

Keywords: 

Slack, Slackbot, Slack AI, AI-powered collaboration, multiplayer AI, agentic AI, headless AI, agentic-first strategy, enterprise AI tools, AI personal assistant, conversational AI, AI-driven productivity, integrated AI agents, workplace collaboration tools, organizational context, unstructured data, Salesforce, Salesforce AI, Salesforce MCP, open platform, third-party integrations, Box, Atlassian, OpenAI, Perplexity, Linear, Vercel, productivity gains, employee productivity, digital growth systems, building in the open, public channels, private channels, reasoning data, first-party reasoning data, team communication, CRM integration, knowledge management, orchestration of work, AI skill deployment, AI-enabled workflows, work operating system, decision making in Slack, automation in Slack, business transformation through AI, collaborative intelligence, permissioned AI, cloud coworker

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

Anthropic had a really bad week. 🥺

First of all, Claude Fable 5 got knocked off at the top by OpenAI's GPT-5.6 Sol. 

Then? 

Both Meta and Grok came for Anthorpic's API coding pie. 

Yikes. 

But in between the fights for tokens, we also go some big name lawsuits, weird study results and AI that talks to you more like a person than a robot. 

ChatGPT’s 5.6 Sol, Grok and Meta bounce back and OpenAI’s biggest week ever? And more AI News That Matters -- An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Anthropic Fable Models Release Controversy
2. OpenAI GPT-5.6 Sol Government Collaboration
3. Grok 4.5 and Meta Muse Spark Launch
4. Apple Lawsuit Against OpenAI for Trade Secrets
5. OpenAI GPT Live Voice Mode Overview
6. Microsoft Copilot Shifts to Internal AI Models
7. Meta Muse Image and Video AI Release
8. Meta Launches Iris Proprietary AI Chip
9. OpenAI GPT-5.6 Performance Benchmarks
10. OpenAI ChatGPT Work Desktop Agent
11. U.S. Survey on AI Company Ownership
12. Anthropic Fable 5 Model Pricing Challenge

Timestamps:

00:00 OpenAI's busy week and competition

03:17 Apple vs OpenAI controversy

06:55 GPT Live dual-mode voice launch

11:06 Grok 4.5 release and impact

16:06 Microsoft's AI integration in use

19:16 Microsoft Copilot's learning curve challenges

22:34 AI policy and potential wealth distribution

26:36 Comparing AI model pricing

27:54 Meta's AI chip announcement

31:41 OpenAI product competition and updates

37:31 Predicting Fable five's future options

38:17 OpenAI undercutting Anthropic prices

Keywords: 

GPT-5.6 Sol, OpenAI, Anthropic, Fable, Mythos, Grok 4.5, Meta, Muse Spark 1.1, Muse Image, Muse Video, Meta AI, coding API, AI benchmarks, price per performance, live voice mode, ChatGPT for work, ChatGPT desktop app, Codex, Claude Code, Sonnet 5, Opus, Haiku, model routing, agentic AI systems, token efficiency, input tokens, output tokens, enterprise AI adoption, Microsoft Copilot, MAI models, token subsidy, sovereign wealth fund, AI company equity, Bernie Sanders AI bill, NVIDIA, AMD, GPU, Meta Iris chip, Cameo feature, data centers, deep seek models, AtCoder algorithm contest, API production use, China-linked backdoor, automatic call transcription, ByteDance SeedDream, generative AI tools, AI privacy backlash, pull request tab, diff view, multimodal context window, AI-driven document generation, learning curve, security permissions, cost efficiency, large language models

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

Of course GPT-5.6 Sol is OpenAI’s best model yet. ☀️

Every new model is.

The real story is what OpenAI did around it.

Codex got a friendlier name, a broader audience, and a much bigger job.

ChatGPT Work is not just another mode.

It is OpenAI merging chat, coding, browsing, files, plugins, and actions into one work super app.

Today’s Everyday AI breaks down what actually changed, what is mostly packaging, and why Anthropic should be paying very close attention.

ChatGPT Work and GPT-5.6 Sol: What’s New, 5 Overlooked Features and 1 Hot Take -- An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. GPT-5.6 Soul Model Launch Overview
2. ChatGPT Work Super App Introduction
3. Codex Platform Rebranding Explained
4. Sol, Terra, Luna Model Tier Comparison
5. Unified Plugins and Workflow Integration
6. ChatGPT Sites Expanded Access Features
7. ChatGPT Work Mobile App Remote Updates
8. Atlas Browser Integration in Super App
9. Advanced Agentic Browser and Automation
10. Performance Benchmarks: GPT-5.6 vs. Fable 5
11. Pricing Structure and Cost Efficiency
12. Anthropic Competitive Landscape & Model Impact

Timestamps:

00:00 OpenAI's GPT 5.6 Soul release

05:40 Introducing the new GPT 5 models

07:23 Combining ChatGPT and Codex

10:30 Codex display options explained

14:39 Features of CHAD TBT on the web

18:28 Performance optimization with Sol Ultra

22:54 Comparing AI model costs

24:23 Why use Codex over the web

27:55 New Chatchifyd and Chat GPT Features

31:44 Automating podcast production tasks

33:20 Codex and Chrome extension features

38:17 AI model rankings and performance

40:44 Market dynamics and competition impact

Keywords: 

GPT-5.6, GPT-5.6 Soul, GPT-5.6 Terra, GPT-5.6 Luna, OpenAI, ChatGPT Work, ChatGPT super app, agentic platform, Codex, Atlas browser, Slack bot, AI model benchmarks, performance per dollar, AI execution, knowledge work automation, AI-powered desktop app, task scheduling, multi-agent orchestration, Ultra mode, plugin integration, context gathering, automated spreadsheet creation, AI dashboards, interactive web apps, team collaboration tools, cost-efficient AI, recuring tasks, mobile AI control, remote desktop AI, Chrome extension, browser automation, password management, cookies support, scheduled tasks, file access, AI competitive landscape, Anthropic, Claude Fable 5, Claude Opus, artificial analysis coding index, API pricing, model performance, AI work productivity, Slack integration, knowledge worker agent orchestration

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

All eyes will be on GPT-5.6 Sol today. ☀️

But some might argue, that won't even be the ChatGPT maker's biggest release this week. 

That's because we finally have conversational AI that just works in OpenAI's new GPT-Live model inside ChatGPT. 

And that's not the only big release this week: we had big drops from Meta, Grok, Google and more. 

The most important move you can make each week is to quickly know the newest features you can ACTUALLY use. And that's what our Friday Features show is all about. (Brought to you a day early, obviously.) 

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. OpenAI GPT Live Voice Model Launch
2. OpenAI GPT Live Duplex Conversational Features
3. GPT Live Access Free and Paid Tiers
4. OpenAI Developer API: GPT Real Time 2.1 Release
5. XAI Grok 4.5 Model for Software Engineering
6. Grok 4.5 Token Efficiency and Benchmarks
7. Notion Agents Standalone iPhone App Release
8. Google Voice AI Gemini-Powered Call Summaries
9. ByteDance SeeDream 5.0 Pro Image Model Launch
10. ByteDance Image Model Infographic and Layer Features
11. Meta Muse Image and Video Model Rollout
12. Meta AI Agent Image Generation Through Instagram

Timestamps:

00:00 New OpenAI voice model

04:26 New AI voice model launch

06:26 Introducing GPT Live Voice Models

11:15 OpenAI's new GPT model for developers

15:19 Using the Grok app

19:20 Notion's AI paid features explained

22:50 AI features for small businesses

23:41 New image model contenders

27:14 New AI image model feature

31:45 Meta's AI features and updates

34:05 New AI tools and updates

Keywords: 

GPT Live, OpenAI, real-time voice model, duplex architecture, AI voice assistant, full duplex AI, natural language AI, GPT 5.5, model release, AI updates, Slack bot, personal AI agent, AI-powered productivity, ChatGPT voice features, advanced voice mode, Gemini Live, Claude voice, web search AI, context-aware AI, conversational AI, AI voice brainstorming, hands-free AI, developer API, GPT real time 2.1, cost-efficient AI, latency reduction, tool calling, code execution, software engineering AI, Grok 4.5, XAI, multi-step agentic work, Cursor, token efficiency, AI benchmarks, Notion agents, iPhone AI app, workspace automation, Gemini-powered Google Voice, AI note-taking, ByteDance, C Dream 5.0 Pro, AI image model, infographic AI, Meta, Muse image model, video AI, Instagram AI, agentic self-refinement, multimodal AI, branded visuals, AI for social media, marketing automation, AI-driven design, AI-powered workflows, API integration, team collaboration AI.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Doomscrolling vertical videos is just brain rot, right? 🥴

Not anymore. 

NotebookLM just released its new AI-powered vertical video shorts tool that changes individualized learning on the go. 

We know what you're thinking: I'm not a student -- why do I need short-form video? 

Well, that's exactly why we're dishing our 5 best business use-cases and 5 tips to get expert results right away. 

(Because this new NotebookLM feature has the potential to unlock new learning avenues for your entire org.) 

NotebookLM's New Cinematic Shorts: How They work, 5 Tips and 5 Best Use Cases -- An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. NotebookLM Cinematic Shorts Feature Overview
2. How NotebookLM Vertical Videos Work
3. Google Nano Banana 2 Lite Engine Details
4. Free vs. Paid NotebookLM Video Limits
5. Custom Prompting for Shorts Best Practices
6. Explainer, Cinematic, and Short Video Types
7. Step-by-Step Studio Workflow in NotebookLM
8. Top 5 Use Cases for NotebookLM Shorts
9. Five Expert Tips for Effective AI Shorts
10. Quality, Rendering Times, and Editing Limits

Timestamps:

00:00 Slack's new AI feature

05:50 Uploading and chatting with sources

08:57 Creating a 60-second AI promo

10:39 Rendering detailed video prompts

15:46 Limitations of animated shorts

16:36 Using Google AI Studio Templates

19:51 Personalizing content for specific audiences

23:08 Executive briefings on the go

28:09 Fixing broken workflows with everyday AI

30:46 AI at Work on Wednesdays Wrap-Up

Keywords: 

NotebookLM, Google cinematic shorts, vertical video AI, AI-powered video shorts, personalized AI video, AI learning tool, AI voice over, captions in AI video, mobile AI apps, NotebookLM tips, AI video use cases, uploading sources to AI, PDF to video AI, Google Gemini, AI context grounding, hallucination-free AI, Nano Banana 2 Lite, Gemini 3.1 Flash, video overview formats, explainer videos, cinematic AI video, AI video daily limits, free versus paid AI plans, prompt engineering, brand guidelines in AI, call-to-action in AI video, executive briefings AI, customer education video, FAQ explainer shorts, repurposing webinars, podcast to short video, marketing content AI, internal training AI, SOP to video, playbook animation, animation image model, audio overviews, slide deck generation, workflow automation AI, AI for business, AI video generation, Google AI Studio, context-based video, custom video prompts, source grounded AI content, AI onboarding videos, social media AI video, interactive learning AI.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

AI’s all-you-can-eat era is ending. 🍲

For years, one subscription felt like unlimited access to frontier models.

But that business model for the AI labs apparently breaks when agents can now run for days, use tools, retry work and burn through tokens.

And with Anthropic's powerful Fable 5 model exiting subscription tiers today and moving to API only pricing, it's as imperative of a time as ever to figure out your AI spend strategy. 

Frontier AI is becoming a metered utility. On today's show, we teach you how to deal with it. 

AI Cost Control 101: Why Your Chatbot Bill Is Becoming a Board-Level Problem -- An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. End of Unlimited AI Subscription Plans
2. Anthropic Fable Five Subscription Removal
3. Copilot and Grok Switching to Pay-Per-Use
4. Enterprise AI Cost Control Challenges
5. Token Consumption in Agentic AI Models
6. Board-Level AI Spending Concerns
7. Strategies for AI Spend Optimization
8. Fine-Tuning and Multi-Model Routing Solutions
9. Seven-Step AI Cost Reduction Playbook

Timestamps:

00:00 Rising AI costs and usage

05:18 AI service cost challenges

10:18 Cost of AI and OpenAI's Future

14:18 Chatbot costs becoming a big issue

15:10 Automating work with desktop agents

19:26 Hidden costs of automation loops

24:13 The future of model mixtures

25:16 Microsoft Foundry's fine-tuning service

31:20 Fine tuning AI models

32:13 Closing thoughts on AI future

Keywords: 

AI cost control, chatbot bill, AI spend, token efficiency, metered AI, agentic models, AI subscription plans, Fable Five, Anthropic, API pricing, OpenAI, GPT-5.6, Copilot cowork, GitHub Copilot, Google Gemini, AI credits, usage limits, credit-based system, Grok, NeoCloud, board-level AI concerns, token maxing, spending limits, enterprise AI, SMB advantage, API token pricing, token-based billing, model routing, open source AI models, GLM 5.2, Kimmy 2.7, caching, difficulty-based routing, fine-tuning models, Microsoft Foundry, fine-tuning as a service, Thinking Machines Lab, tuned specialists, mixture of models, AI routers, perplexity, Merge, spend routers, AI budgeting, overage alerts, default model selection, AI model compaction, automation, human-in-the-loop AI, context length limits, token burn rate, Jovan’s paradox, AI tool escalation

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)