Everyday AI Podcast – An AI and ChatGPT Podcast

OpenAI has released GPT-5.6, but the majority of us will have to wait. ⌚

After the Anthropic vs. U.S. Government feud, it now looks like we'll have to wait for frontier models. 

That wasn't the only big AI news headline that might change your company's AI strategy. 

Anthropic got the green light to roll out Mythos 5 to a select few, Google reportedly extended its strike team to catch up on coding and more. 

OpenAI’s limited release of GPT-5.6, Mythos starts slow reinstatement, OpenAI gets spicy and more AI news -- 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:
OpenAI GPT-5.6 Limited Release Explained
OpenAI Sol, Terra, Luna Model Naming
US Government Restrictions on AI Rollouts
Anthropic Mythos 5 Access and Standoff
Anthropic Fable 5 Suspension Details
Google Gemini 3.5 Pro Release Delayed
Google's AI Coding Mid-Training Initiative
RaiseUS Nonprofit: AI Workforce Adaptation
Anthropic Accuses Alibaba of Model Distillation
OpenAI & Broadcom Unveil Jalapeno AI Chip
Key AI Industry Partnerships & Product Leaks

Timestamps:

00:00 OpenAI's GPT 5.6 limited release
06:14 OpenAI's new model release details
09:54 Access suspension and negotiations
13:18 Google's AI strategy and delays
16:33 Anticipating Gemini 3.5 Pro Release
20:40 Accusations of AI model theft
24:48 OpenAI and Broadcom chip partnership
28:05 OpenAI's recent developments and updates
29:56 OpenAI and AI weekly updates

Keywords: 
GPT-5.6, OpenAI, Anthropic, Mythos 5, Fable 5, Frontier models, Gemini 3.5 Pro, Google, model rollout, limited AI access, AI safety, US government AI regulation, Sol model, Terra model, Luna model, Max reasoning mode, Ultra mode, sub agents, advanced AI benchmarks, coding workflows, cybersecurity, third-party AI analysis, government licensing, AI model guardrails, AI model democratization, model naming scheme, model availability, AI model security, jailbreak resistance, safety filters, general model access, trusted testers, AI export control, national security, Anthropic pullback, supply chain risk, defense department, AI industry competition, talent loss, AI coding, mid training, engineering agents, AI strike team, RaiseUS nonprofit, workforce AI disruption, technology policy, industrial scale distillation, Alibaba, AI model theft, China-US tech tensions, distillation attacks, Jalapeno AI chip, Broadcom, AI inference, custom hardware, data center GPUs, Microsoft, Meta, Elastic compute, AI-powered career navigation, Slack Claude Tag, Canva Grow 2.0, Copilot skills, AI ad creation, AI automation, DigitalOcean plugin, Apple hardware AI, smart glasses, Vision Pro, portfolio tracking AI, Google Finance, home smart speakers, voice AI, GLM 5.2, open source AI, US labor market AI effects, AI job disruption, model leaks, government approval delays.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

Talking about prompts and chatbots won't help you talk about AI strategy in 2026. 

You've gotta know the ins and outs of loops, plans, goals, subagents and more. 

In this episode of Everyday AI, we're breaking down the agent lingo and how the key terms play out in systems like Codex and Claude Desktop. 

Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code -- 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:
Desktop Agent Vocabulary Primer
Agent Harnesses: Codex vs. Claude Code
Desktop Agent Plans: Features and Workflow
Goal Setting in Codex and Claude Desktop
Plan vs. Goal: Key Differences
Agent Loops: Automation and Verification
Sub Agents: Parallel Task Management
Context Windows and Task Delegation
Guardrails, Verification, and Cost Control
Transition from Chatbots to Autonomous Agents

Timestamps:

00:00 Shifting focus to AI agents
03:28 Accessing the Start Here series
09:31 Using plan mode in clawed desktop
12:04 Understanding plan vs. goal mode
14:25 Setting project goals and planning
19:33 Accessing Start Here series
22:03 Building effective training loops
26:48 Managing sub agents effectively
27:30 Setting up sub-agent system
30:47 Closing and subscription reminder

Keywords: 
desktop agent, desktop AI agent, agent lingo, agent vocabulary, long running agent, autonomous agent, codex, Claude Code, Claude desktop, AI harness, agentic harness, agentic tools, super app, Microsoft super app, OpenAI codex, long running desktop agents, plan mode, planning phase, agent plan, goal setting, AI goal, agent goals, loop mode, agent loops, scheduled automations, sub agents, agent subagents, context windows, parallel work, context hygiene, verification steps, approval points, skills, automations, API token usage, project threads, co work tab, code tab, work trees, checkpoints, file access, browser automation, human in the loop, token efficiency, agent delegation, AI supervision, knowledge work automation, AI subagent management, desktop agent mental model, computer control, AI project management, AI workload delegation, remote steering, front end chatbot, proactive AI, AI context sharing.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

Ever wish your agent would just watch you work and copy you? 👯

Oh wait, that's exactly what OpenAI released. 

The new 'Record and Replay' feature in Codex allows you to simply record anything you do and turn it into a repeatable workflow for your agents. 

Join us LIVE as we show you how. ⏺️

Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows -- 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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Codex Record and Replay Feature Overview
Transition from Prompting to Demonstration
Skill Markdown Files as Business Artifacts
Codex vs Claude Desktop Agent Comparison
Workflow Recording and Security Best Practices
Step-by-Step Codex Record and Replay Demo
Video Understanding Capability in Codex
Editing and Sharing Skills Across Platforms
Automating Multi-App, Cross-System Workflows
Validation, Scheduling, and Automation of Skills

Timestamps:

00:00 OpenAI's record and replay feature
04:41 Preparing for screen sharing
08:56 Managing Small Tasks Efficiently
10:03 Automating top story analysis
15:43 Debating AI business strategies
18:29 Codec's video ingest feature
22:01 Practicing low stakes automation
24:57 Using skills and plugins efficiently
26:19 Using Chattopty for workflow automation

Keywords: 
codex record and replay, OpenAI record and replay, record and replay feature, codex workflow automation, proactive AI agents, skill.md file, skill markdown file, editable skill files, demonstration over prompting, desktop AI agents, Mac AI features, video ingestion AI, video understanding by AI, cross-platform AI workflows, AI workflow scheduling, codex plugins, codex Chrome profile, AI screen recording, reusable AI skills, skill file cross-compatibility, Claude desktop import, Google Gemini video support, AI workflow privacy, enterprise AI permissions, low stakes workflow automation, scheduled AI automations, computer use access, browser automation AI, AI handling Chrome profiles, prompt engineering replacement, automation library, validation of AI skill files, skill validator, PyYAML error handling, skill replay, Codex versus Claude, multi-app workflow automation, real business artifact AI, automation success criteria, desktop program integrations, computer task recording, mundane workflow automation, non-technical AI setup, AI scheduled worker, AI skill refinement
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

Is the open model GLM-5.2 really Opus 4.8 level? 🤯

You mighta missed this, but over the past few weeks, three distinct forces have all converged at one: 

↳ Chinese open models are near frontier SOTA
↳ Microsoft is reportedly considering open models to run Copilot
↳ Enterprises everywhere are talking token efficiency as AI costs soar

So while many are watching GLM-5.2 as an isolated model, it's important we dive deeper on its wider implications.

Open Source Surge? Does GLM-5.2 Make Open Source an Enterprise Priority? -- 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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Open Source AI's "ChatGPT Moment"
GLM 5.2 Model Benchmarks & Performance
Enterprise Adoption Drivers for Open AI
Microsoft Evaluating DeepSeek for Copilot
Token Maxing to Token Efficiency Shift
GLM 5.2 Infrastructure vs. Consumer Use
Autonomous Workflow Overshoot Explained
Capability Gap and Workflow Challenges
Enterprise Scenarios for Open Source Models
Future of Task-Specific SOTA AI Models

Timestamps:

00:00 Open source AI catching up
04:52 Enterprise shift to DeepSeek models
08:57 Comparing AI model performances
12:46 Running AI models locally
14:17 Open source model cost efficiency
17:37 Cost challenges with AI models
21:05 Agentic task token consumption
25:05 Introducing the Start Here series
27:58 Impact of AI on Job Roles
32:29 Evaluating Open Source AI Models
36:00 Considering open source models
37:09 Future of open source AI

Keywords: 
open source AI, open source AI models, GLM 5.2, z AI, Zhipu AI, Chinese open source models, DeepSeek, Microsoft, enterprise AI, token maxing, token efficiency, AI spend, AI deployment, open weight models, proprietary AI models, AI benchmarks, Artificial Analysis Intelligence Index, enterprise infrastructure, agentic workflows, coding tool use, autonomous agents, long context window, coding capabilities, API costs, AI privacy considerations, model distillation, data privacy, compute requirements, GPU infrastructure, AI hardware, API hosting, Hugging Face, AWS, AI cost reduction, Copilot Cowork, Azure security, Anthropic, OpenAI, Claude Opus, multimodal models, task-specific AI models, model capability gap, autonomous workflow overshoot, agentic tasks, non-agentic tasks, state of the art open models, model fine-tuning, small language models, AI adoption barriers, frontier models, AI job automation, workflow transformation, AI subsidies, token billing, Stanford AI study, AI industry trends
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

While Anthropic and the U.S. Government continued to try and make amends, there was another seismic shift quietly taking place: open source surged. 

Between Microsoft reportedly testing Open Source models for Copilot and the powerful new GLM-5.2, there was a clear trend this week in AI world. 

Missed it all? 

Don't worry, we'll catch you up so you can make the informed decisions for your company. 

Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney’s Big Pivot 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: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Anthropic Fable 5 and Mythos 5 Export Ban
Trump Labels Anthropic a National Security Threat
Microsoft Copilot CoWork Open Source Model Switch
Microsoft Considers DeepSeek-V4 for AI Cost Reduction
Chinese GLM 5-2 Sets Open Source Benchmark
GLM 5-2 Challenges Proprietary AI Models
MidJourney Hardware Pivot: AI Medical Imaging Scanner
Cursor Building 1.5T Parameter Model, GitHub Competitor
AI CEO Summit: G7 Pushes US-Led AI Coalition
OpenAI Prepares GPT-5.6 Release
Anthropic, OpenAI, Google Face Geopolitical AI Scrutiny
Advancements in Token Efficiency and Cost Control

Timestamps:

00:00 Trump's comments on Anthropic
06:17 Microsoft exploring lower-cost AI models
09:07 Microsoft exploring DeepSeek amid tensions
13:45 AI model performance and efficiency trends
15:59 AI leaders meet at G7 Summit
21:22 Midjourney unveils first hardware product
23:26 MidJourney's innovative spa technology
28:50 Discussing Cursor's evolution and impact
32:24 Talking about AI use cases
33:27 Rumors and upcoming AI model releases
37:20 OpenAI's major new hires

Keywords: 
Anthropic, Fable Five, Mythos Five, export controls, national security threat, Dario Amodei, Amazon, supply chain risk, Defense Production Act, Copilot CoWork, Microsoft, usage based pricing, open source AI, DeepSeek V4, Chinese AI model, token costs, Azure, agentic AI, enterprise AI billing, data security, compliance filters, GLM 5-2, Zhipu AI, 753 billion parameter model, MIT open source license, long context window, autonomous coding, Hugging Face, benchmark performance, text only model, multimodal capabilities, token efficiency, AI spend, G7 summit, AI governance, AI coalition, AI standards, cybersecurity risks, bioterrorism, chip trade, Sam Altman, OpenAI, Claude Opus 4.8, Gemini 3.5 Pro, MidJourney, medical imaging, MidJourney scanner, full body ultrasound, Butterfly Network, MRI alternative, spa launch, SpaceX, Cursor, 1.5 trillion parameter model, code hosting, GitHub competitor, code generation, AI super apps, Colossus compute, technical prompts, context window expansion, GPT 5.6, Claude Conway agent, Grok Imagine, Firefly AI, code artifacts, Google Ad Manager AI, Open Knowledge Format, Noam Shazeer, Dean Ball, Andrej Karpathy.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.