Everyday AI Podcast – An AI and ChatGPT Podcast

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
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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:
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: [email protected]
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: [email protected]
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
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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

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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: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Anthropic Fable Models Release Controversy
OpenAI GPT-5.6 Sol Government Collaboration
Grok 4.5 and Meta Muse Spark Launch
Apple Lawsuit Against OpenAI for Trade Secrets
OpenAI GPT Live Voice Mode Overview
Microsoft Copilot Shifts to Internal AI Models
Meta Muse Image and Video AI Release
Meta Launches Iris Proprietary AI Chip
OpenAI GPT-5.6 Performance Benchmarks
OpenAI ChatGPT Work Desktop Agent
U.S. Survey on AI Company Ownership
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
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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

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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: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
GPT-5.6 Soul Model Launch Overview
ChatGPT Work Super App Introduction
Codex Platform Rebranding Explained
Sol, Terra, Luna Model Tier Comparison
Unified Plugins and Workflow Integration
ChatGPT Sites Expanded Access Features
ChatGPT Work Mobile App Remote Updates
Atlas Browser Integration in Super App
Advanced Agentic Browser and Automation
Performance Benchmarks: GPT-5.6 vs. Fable 5
Pricing Structure and Cost Efficiency
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)