Everyday AI Podcast – An AI and ChatGPT Podcast

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

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:
Meta AI Layoffs Lawsuit: Discrimination Claims
Google DeepMind Proposes Unified AI Watchdog
OpenAI Smart Speaker Hardware Leak Details
Kimi K3 Trillion-Parameter Open Source Model
Kimmi K3 Benchmarks vs GPT-5.6 Soul, Fable 5
Google Gemini 3.5 Pro Model Release Delayed
Microsoft CEO Nadella Criticizes Anthropic Fable 5
Anthropic Fable 5 Data Retention Enterprise Policy
Quinn 3.8 and Inkling AI Large Model Launch
Suno Data Scraping Leak and AI Music Training
Google AI Mode Integrates Canva, Instacart, YouTube
Anthropic Extends Fable 5 Access to Max Users
Apple Testing PrismL Model Compression on iPhones
Perplexity Rolls Out Self-Improving AI Memory
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.
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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

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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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Anthropic Claude Desktop App Browser Upgrade
OpenAI ChatGPT Work Desktop App Improvements
ChatGPT Universal Search Feature Launch
Superhuman Email Auto-Draft with GPT-4
Spotify AI Voice/Text Conversation Feature
Gemini Omni Personal Avatar Video Creation
Google Vids Integration with Personal Avatars
Moonshot Kimmy K3 Open Source Model Release
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
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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

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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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Inkling AI Model Launch Overview
Thinking Machines Lab Leadership Highlight
Inkling's Multimodal and Agentic Capabilities
Open Source vs. Proprietary AI Models
Enterprise Procurement with American AI Models
AI Fine Tuning as a Service (Tinker)
Benchmark Scores: Inkling vs. Frontier Models
Customization and Model Shopping for Enterprises
AI Token Costs Driving Model Efficiency
Bridgewater Case Study: AI Model Customization
Frontier Models Enabling Efficient Fine-Tuning
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.
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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

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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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
ChatGPT Work vs Codex Comparison
OpenAI's Viral ChatGPT Work Launch
Key Differences: Desktop vs Web Versions
ChatGPT Work User Growth and Backlash
Remote Access and Computer Use Features
Agentic AI: Multiple Agents on Desktop
Advanced Workflow Automation Capabilities
Syncing and Integration Challenges Explained
Detailed Demo: Site and Skill Creation
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.
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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. 

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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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Shift from Single-Player to Multiplayer AI Collaboration
Slackbot as AI Personal Assistant Overview
Integrating AI Agents Across Enterprise Systems in Slack
Unlocking Organizational Knowledge from Slack Conversations
Building and Iterating in the Open with Slack
Slackbot’s Role in Headless, Agentic Workflows
Enhancing Productivity with Slackbot’s Contextual Actions
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