Every major AI lab signed the Open Weights letter defending open models. Meta, OpenAI, Google, Microsoft, Nvidia.

Anthropic was the only holdout.

Yesterday, its CEO, Dario Amodei, published a thoughtful defense of that decision to not fully support open weight or open source models. 

Here's what nobody's connecting: the money trail. 

Roughly 80% of Anthropic's revenue is businesses paying per token. Free Chinese open models attack that exact revenue stream weeks before Anthropic is set to go public. 

On today's show we break down what Dario actually said, what he said before, and why we think this was written for Washington policymakers and not for the rest of us.

Anthropic Responds: Why Claude?s CEO didn't sign the open model pact and the real reasons why -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Refuses Open Model PactDario Amodei?s Public Letter AnalysisAnthropic?s 80% Revenue Token ExposeChinese Open Model National Security FearsMicrosoft & Nvidia?s Open Weights CoalitionRegulatory Capture and Washington InfluenceTiming Related to Executive Order DeadlineIPO Motivations Behind Anthropic?s DecisionsContradictions in Anthropic?s Open Model StanceImpact of Open Source on Token Business Model

Timestamps:

00:00 Anthropic's stance on open models

04:19 Discussing Anthropic's response to open models

06:39 Understanding open weight models

12:08 Future AI and cybersecurity risks

15:04 Discussion on open-source AI models

19:30 Discussing Anthropic's business challenges

21:08 Cutting costs with open-source models

26:17 Anthropic's recent stock downturn

27:11 AI investment and cost efficiency shift

30:14 Anthropic's stance on open source models

36:32 INTROPICS IPO and regulatory discussions

37:37 Wrapping up and subscribing

Keywords: 

Anthropic, Claude, open model pact, open source AI, open weights, American AI leadership, Dario Amodei, IPO, regulatory capture, DC lawmakers, Chinese open source models, token revenue, per token business model, NVIDIA, Microsoft, Meta, OpenAI, Google, IBM, national security, AI safety, government mandates, chip controls, AI regulation, chip ban, industrial scale distillation, mandatory safety testing, inference, AI ecosystem, Opus 5, Fable 5, GPT-5, GLM 5.2, cost per task, token efficiency, model router, proprietary models, closed source AI, cybersecurity risks, Chinese cyberattacks, biological attacks, Glasswing program, open source vs proprietary, tech lobbying, Trump AI order, federal deadline, AI policy, artificial general intelligence, artificial superintelligence, AI monetization, S-1 filing, public company, venture capital, AI benchmarks, model switching, API pricing, model containment, Hugging Face incident, AI startup monopoly, safety vs business protection, market competition, AI cost reduction.

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Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. 

How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. 

How can you keep up? 

With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. 

This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? 

ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Claude Opus 5 Model LaunchOpenAI Agent Hacks Benchmark SandboxOpenAI vs. Hugging Face Security BreachUS AI Kill Switch Legislation ProposalMicrosoft, Nvidia Defend Open Source AIAnthropic Opposes Open Weight Model CoalitionUS Accuses China?s Moonshot AI of DistillationChinese Kimi K3 Model Closes Capability GapNvidia Chips Allegedly Used by Moonshot AIOpenAI Jarvis-Style Voice Assistant for CodexChatGPT Remote Desktop Voice Control ReleaseAnthropic Opus 5 Model Benchmark ResultsAnthropic Opus 5 Model User FeedbackStripe OpenRouter Acquisition TalksMeta Muse Agent and Feature UpdatesAlibaba Qwen 3.8 AI Model PreviewGoogle Gemini 3.6 Flash Model UpdateAnthropic Claude Voice Upgrades and Skill Recording

Timestamps:

00:00 OpenAI agent hacks Hugging Face

04:58 Discussing GPT-6's creative problem-solving

07:33 Proposed AI shutdown legislation

13:08 Debate over open-weight AI policies

15:54 Future of consumer hardware

20:01 Global competition with AI models

21:21 US-China AI trade tensions

26:38 Using AI for desktop tasks

27:42 Discussing app screenshot capabilities

32:24 Early user feedback and issues

36:13 Discussing medium and low reasoning AI

39:29 Gemini Spark launches for Pro users

Keywords: 

Claude Opus 5, Anthropic, best AI model, AI model comparison, OpenAI agent, sandbox breach, AI safety, AI kill switch bill, US government AI regulation, Hugging Face hack, GPT 5.6 Soul, rogue AI agent, autonomous AI agents, AI benchmark exploits, bipartisan AI bill, Department of Homeland Security AI shutdown, AI technical throttling, AI enterprise adoption, NVIDIA, Microsoft, open source AI, open weight models, Meta, Google, AMD, Cloudflare, GitHub, Block, IBM, Dell, Palantir, Perplexity, y Combinator, AI market resilience, Anthropic revenue model, AI token sales, consumer AI hardware, AI distillation, Chinese AI models, Moonshot AI, Kimi K3, intellectual property theft, NVIDIA chip export controls, US-China AI dispute, Amazon, AI image generation, ChatGPT work, Codex app, full duplex voice model, knowledge work automation, app shots, AI at work, Claude Voice, Gemini Spark, record a skill, cloud cowork, AI business impact, AI industry news, model weights, collaborative AI, AI productivity tools, AI cybersecurity.

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Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. 

How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. 

How can you keep up? 

With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. 

This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? 

ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Health Syncs Apple and Medical DataClaude Voice Mode Adds Opus and SonnetClaude Voice Mode Supports ConnectorsMicrosoft MAI Image 2.5 Pro Launch DetailsMicrosoft MAI Image Model Benchmark PreviewGoogle Gemini 3.6 Flash and Flashlight ReleaseGemini 3.6 Flash: Token Efficiency UpgradesGoogle Gemini Spark Agent for Task AutomationClaude Cowork "Record a Skill" With Voice NarrationChatGPT Voice on Desktop: Full Jarvis ModeChatGPT Voice Controls Apps via App ShotsCross-Platform AI Skills Sharing (Claude, Codex, GPT)

Timestamps:

00:00 Recent AI feature updates

05:22 Unified health data management

09:52 New voice feature explanation

11:28 Launch of Microsoft's new image model

16:17 Explaining the Gemini 3.5 models

17:11 Developers benefiting from 3.6 Flash

22:45 Introducing Gemini personal intelligence

25:10 Claude Cowork's new skill feature

28:32 New default feature in Claude Cowork

34:22 Using AI like Iron Man

35:09 Excitement for future AI advancements

38:20 Wrapping up and subscribing

Keywords: 

ChatGPT Jarvis mode, ChatGPT Health, OpenAI, Anthropic, Claude voice mode, Claude Cowork, Claude record a skill, Microsoft, MAI image 2.5 Pro, AI image generator, Google Gemini, Gemini 3.6 Flash, Gemini 3.5 Flashlight, Gemini Spark, Google AI agent, AI-powered personal assistant, AI agents, Agentic workflows, Multimodal AI, Token efficiency, Image generation, Voice-activated AI, AI-powered task automation, App shots, GPT Live, Remote browser, Computer code execution, Slack integration, GitHub integration, Notion, PowerPoint AI features, Workspace plans, Apple Health integration, Medical records AI, Health data privacy, Consumer AI, Chronic condition management, AI-powered document processing, AI for business, AI model benchmarking, AI for developers, AI economics, Personal intelligence, Automated triggers, Google Docs AI, Team collaboration AI

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OpenAI launched Presence, and it seems like no one really noticed. 

They should have.

Presence gives companies a way to build and manage real-time AI voice and chat agents across customer service, sales, HR, and IT, which could make this one of OpenAI?s most important enterprise launches yet.

The technology finally looks fast, natural, and capable enough to disrupt customer service at scale. 

That could mean faster answers and fewer terrible phone trees.

Or an endlessly patient corporate gatekeeper.

We?re breaking down what OpenAI actually launched, what the early proof leaves out, and whether the AI customer service takeover has finally arrived.

New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI Presence Launch and Industry ResponseReal-Time AI Voice Agents for Customer ServiceOpenAI Presence vs. Competing AI Voice PlatformsGPT Live and Real-Time Model CapabilitiesEnterprise AI Integration: Guardrails and EscalationsMultichannel AI Agent Consistency for SupportSpeech-to-Speech Benchmark Rankings and AnalysisDeployment Challenges: Beta to Production ReadinessConsumer Demand for AI Customer Service SolutionsInternal and External Use Cases for AI Agents

Timestamps:

00:00 OpenAI launches customer service AI

05:40 AI voice advancements and competition

09:28 OpenAI's edge in speech models

12:15 OpenAI's AI usage in companies

14:22 Discussing AI integration in companies

19:05 Transitioning from demo to deployment

20:46 Comparing voice agents and improvements

26:28 AI's Impact on Customer Service

28:07 Considering personalized messaging strategies

Keywords: 

OpenAI Presence, AI customer service, enterprise AI platform, AI voice agents, real time AI chat, customer support automation, sales automation, HR automation, IT automation, real world AI learning, customer service disruption, AI-powered voice models, GPT live, GPT real time 2, on demand AI agents, voice AI agents, AI chatbots, AI-driven customer experience, speech-to-speech index, multimodal AI, desktop AI assistant, voice model benchmarks, Anthropic, Codex real time voice mode, Google Gemini Live, Gemini 3.6 Flash, AI internal workflows, human approval guardrails, escalation paths, agent simulation, FDEs (forward deployed engineers), AI agent guardrails, internal data integration, business AI applications, B2C AI customer service, personalized AI messaging, AI consumer adoption, enterprise AI deployment, voice agent evaluation tools, consumer demand for AI, phone support AI, advanced AI infrastructure, Codex-powered improvement process, AI support handoff, customer service automation trends.

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Claude Design went viral at launch, but has been kinda crickets since. ?

So, we're gonna show you why some of the recent updates from Claude Design deserve your attention. 

Claude Design has gone from a cool party trick into a must-have tool in any designer's (or non-designer's) toolbox. 

It allows you to create any type of design with natural language, basic feedback, and straightforward iteration. 

On our weekly AI at Work on Wednesdays series, we show you Claude Design 101, show you what's new, and give our 5 best practices for getting started. 

Claude Design: What's New, How to Use it and 5 Best Practices -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Claude Design Overview and WorkflowMajor Claude Design Updates: June & JulyClaude Design System vs. Image GeneratorsHands-On Demo: Claude Design User FlowInput Methods: Prompts, Files, GitHub, FigmaKey Features: Editable Canvas & IterationClaude Design vs. Google Stitch & CanvaExport, Handoff, and Integration OptionsBest Practices for Using Claude DesignReview of Generated Designs and Editing Tools

Timestamps:

00:00 Introduction to Claude design

03:04 Initial struggles with Claude Design

08:56 Using Claude for design brainstorming

13:20 Watching Claude design live

15:37 Claude design updates and usage tips

19:53 Controlling design in generative AI

23:32 Tips for better Claude prompts

27:20 Exploring design tools in Figma

28:03 Editing with Claude Design tools

32:02 Choosing Live Stream Layout Options

35:15 Using Google Stitch for design

Keywords: 

Claude Design, Claude AI, generative design, Anthropic, editable canvas, AI-powered design system, design system, natural language design, prototyping with AI, internal tool creation, marketing tools with AI, operations workflow automation, user interface redesign, user experience design, interactive decision making, spreadsheet transformation, code integration, Claude Code, GitHub syncing, Figma file upload, brand kit, design assets, visual onboarding, workflow automation, public publishing, export options, artifact generation, HTML export, PNG export, PowerPoint integration, Canva export, Gamma export, animation creation, video creation with AI, design iteration, direct editing, annotation tools, visual revision, collaborative editing, web-based design tools, design system import, audience-focused design, section-based AI design, prompt-based design, code handoff, front-end design AI, design artifact publishing, workflow fixes, design system updates, technical collaboration tools, web design automation, repeatable design process, onboarding questions, visual exploration, AI design best practices, design inspection, revision instructions, artifact sharing

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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

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Topics Covered in This Episode:

U.S.-China AI Cold War OverviewChinese AI Models Closing U.S. GapGovernment Restrictions on AI Model AccessEconomic and Geopolitical AI Power StruggleRisks for U.S. Businesses Using Chinese AIOpen Source vs. Closed Source AI DebateChinese AI Model Pricing Undercuts U.S.AI Model Distillation and U.S. Security ConcernsEnterprise AI Cost-Effectiveness BenchmarksMicrosoft Testing Chinese AI DeploymentsFuture AI Model Export Controls & StrategiesRecommendations 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

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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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Topics Covered in This Episode:

Meta AI Layoffs Lawsuit: Discrimination ClaimsGoogle DeepMind Proposes Unified AI WatchdogOpenAI Smart Speaker Hardware Leak DetailsKimi K3 Trillion-Parameter Open Source ModelKimmi K3 Benchmarks vs GPT-5.6 Soul, Fable 5Google Gemini 3.5 Pro Model Release DelayedMicrosoft CEO Nadella Criticizes Anthropic Fable 5Anthropic Fable 5 Data Retention Enterprise PolicyQuinn 3.8 and Inkling AI Large Model LaunchSuno Data Scraping Leak and AI Music TrainingGoogle AI Mode Integrates Canva, Instacart, YouTubeAnthropic Extends Fable 5 Access to Max UsersApple Testing PrismL Model Compression on iPhonesPerplexity Rolls Out Self-Improving AI MemoryChatGPT 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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Topics Covered in This Episode:

Anthropic Claude Desktop App Browser UpgradeOpenAI ChatGPT Work Desktop App ImprovementsChatGPT Universal Search Feature LaunchSuperhuman Email Auto-Draft with GPT-4Spotify AI Voice/Text Conversation FeatureGemini Omni Personal Avatar Video CreationGoogle Vids Integration with Personal AvatarsMoonshot Kimmy K3 Open Source Model ReleaseKimmy 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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Topics Covered in This Episode:

Inkling AI Model Launch OverviewThinking Machines Lab Leadership HighlightInkling's Multimodal and Agentic CapabilitiesOpen Source vs. Proprietary AI ModelsEnterprise Procurement with American AI ModelsAI Fine Tuning as a Service (Tinker)Benchmark Scores: Inkling vs. Frontier ModelsCustomization and Model Shopping for EnterprisesAI Token Costs Driving Model EfficiencyBridgewater Case Study: AI Model CustomizationFrontier Models Enabling Efficient Fine-TuningFuture 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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Topics Covered in This Episode:

ChatGPT Work vs Codex ComparisonOpenAI's Viral ChatGPT Work LaunchKey Differences: Desktop vs Web VersionsChatGPT Work User Growth and BacklashRemote Access and Computer Use FeaturesAgentic AI: Multiple Agents on DesktopAdvanced Workflow Automation CapabilitiesSyncing and Integration Challenges ExplainedDetailed Demo: Site and Skill CreationPower 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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Topics Covered in This Episode:

Shift from Single-Player to Multiplayer AI CollaborationSlackbot as AI Personal Assistant OverviewIntegrating AI Agents Across Enterprise Systems in SlackUnlocking Organizational Knowledge from Slack ConversationsBuilding and Iterating in the Open with SlackSlackbot?s Role in Headless, Agentic WorkflowsEnhancing Productivity with Slackbot?s Contextual ActionsTransitioning 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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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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Topics Covered in This Episode:

Anthropic Fable Models Release ControversyOpenAI GPT-5.6 Sol Government CollaborationGrok 4.5 and Meta Muse Spark LaunchApple Lawsuit Against OpenAI for Trade SecretsOpenAI GPT Live Voice Mode OverviewMicrosoft Copilot Shifts to Internal AI ModelsMeta Muse Image and Video AI ReleaseMeta Launches Iris Proprietary AI ChipOpenAI GPT-5.6 Performance BenchmarksOpenAI ChatGPT Work Desktop AgentU.S. Survey on AI Company OwnershipAnthropic 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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Topics Covered in This Episode:

GPT-5.6 Soul Model Launch OverviewChatGPT Work Super App IntroductionCodex Platform Rebranding ExplainedSol, Terra, Luna Model Tier ComparisonUnified Plugins and Workflow IntegrationChatGPT Sites Expanded Access FeaturesChatGPT Work Mobile App Remote UpdatesAtlas Browser Integration in Super AppAdvanced Agentic Browser and AutomationPerformance Benchmarks: GPT-5.6 vs. Fable 5Pricing Structure and Cost EfficiencyAnthropic 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

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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.) 

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Topics Covered in This Episode:

OpenAI GPT Live Voice Model LaunchOpenAI GPT Live Duplex Conversational FeaturesGPT Live Access Free and Paid TiersOpenAI Developer API: GPT Real Time 2.1 ReleaseXAI Grok 4.5 Model for Software EngineeringGrok 4.5 Token Efficiency and BenchmarksNotion Agents Standalone iPhone App ReleaseGoogle Voice AI Gemini-Powered Call SummariesByteDance SeeDream 5.0 Pro Image Model LaunchByteDance Image Model Infographic and Layer FeaturesMeta Muse Image and Video Model RolloutMeta 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.

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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

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Topics Covered in This Episode:

NotebookLM Cinematic Shorts Feature OverviewHow NotebookLM Vertical Videos WorkGoogle Nano Banana 2 Lite Engine DetailsFree vs. Paid NotebookLM Video LimitsCustom Prompting for Shorts Best PracticesExplainer, Cinematic, and Short Video TypesStep-by-Step Studio Workflow in NotebookLMTop 5 Use Cases for NotebookLM ShortsFive Expert Tips for Effective AI ShortsQuality, 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.

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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

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Topics Covered in This Episode:

End of Unlimited AI Subscription PlansAnthropic Fable Five Subscription RemovalCopilot and Grok Switching to Pay-Per-UseEnterprise AI Cost Control ChallengesToken Consumption in Agentic AI ModelsBoard-Level AI Spending ConcernsStrategies for AI Spend OptimizationFine-Tuning and Multi-Model Routing SolutionsSeven-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

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This was upside down week in AI news. ?

Microsoft is starting a new AI company. 

Anthropic is getting into pharma and drugs. 

And OpenAI might be giving 5% equity to the U.S. government? 

We'll help you sort it all out on our AI News That Matters show. 

Fable 5 is (kinda) Back, OpenAI Might Give Gov Equity, Microsoft?s new AI Company and more AI News -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Microsoft Frontier Company $2.5B AI InvestmentAnthropic Claude Science Drug Discovery LaunchMetaCompute Cloud AI Infrastructure BusinessCloudflare Blocks AI Crawlers on Ad-Supported PagesUS Government Voluntary AI Model StandardsAnthropic Fable 5 Model Reinstatement UpdatesFable 5 Enterprise Data Retention Policy ChangesOpenAI Considers US Government 5% Equity StakeAnthropic SONNET 5 Model ReleaseMeta Watermelon Model RumorsAlibaba Bans Claude Code over Security ConcernsAnthropic and Samsung Custom AI Chip NewsOpenAI GPT 5.6 Soul Ultra in CodexUS House Kids Act AI Safety LegislationGoogle Gemini Omni Flash and Nano Banana 2 LiteCursor and OpenClaw Mobile App Launches

Timestamps:

00:00 Microsoft's big AI investment

05:05 AI experts deploying to companies

07:22 Anthropic's move into drug development

09:47 Meta's new cloud venture

13:29 Cloudflare blocks AI crawlers

16:32 Impact of AI on web traffic

19:37 Government oversight on AI releases

24:27 Fable Five model reinstated

29:19 AI firms discussing public financial stakes

30:46 AI companies preparing to go public

34:14 AI updates and tech progress

Keywords: 

Microsoft Frontier Company, Microsoft AI investment, forward deployed engineering, FTE, AI consulting services, Amazon AI initiative, OpenAI, Anthropic, Claude Science, drug discovery AI, pharma sector AI, AI model integration, MetaCompute, Meta cloud infrastructure, AI computing capacity, Amazon Web Services competitor, Microsoft Azure competitor, Google Cloud competitor, AI data centers, AI infrastructure, AI CapEx, supply and demand AI, SpaceX, Grok, AI compute partnerships, Cloudflare AI crawlers, ad supported pages AI access, Googlebot, AI training data, AI search crawlers, pay per crawl model, x402 standard, Stripe, AI licensing deals, digital publishing AI impact, national security AI standards, AI export controls, Codex, GPT 5.6, AI voluntary standards, executive order AI, advanced AI model oversight, cybersecurity classifiers, AI data retention policy, API access AI models, enterprise AI privacy, Mythos 5, Fable 5, model rollout delays, US government AI regulation, OpenAI government equity, sovereign wealth fund AI, Anthropic Samsung AI chips, Apple MCP server, Meta Muse model, AI agent web debugging, Kids Act AI, AI safety rules, Ford AI quality checks, Grok 4.5, NotebookLM vertical video, ChatGPT finance app, Cursor iOS app, AI feature releases

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Fable 5 is out, but it'll be gone (again) before you know it. 

While Anthropic's powerful Mythos 5 is out for the masses for another 5 days, it might be their Sonnet 5 model that's your next daily driver. 

Even better news? If you're an iPhone user, your OpenClaw and Cursor accounts are gonna get a lot more use. 

Yeah, it's a short Holiday week in the U.S., but the AI companies didn't stop shipping. From new models to new ways to work, these are 7 new AI features available now that you should be using. 

Fable 5 and Sonnet 5 Released, OpenClaw on Your iPhone, NotebookLM's New Video Format and 7 More AI Features You Need Now

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Topics Covered in This Episode:

Anthropic Sonnet 5 Model OverviewSonnet 5 vs Opus 4.8 PerformanceAnthropic Model Naming Confusion ExplainedSonnet 5 Pricing and API Cost AnalysisSonnet 5 Use Cases for Daily WorkNotebookLM 60-Second AI Video GenerationNotebookLM Cinematic Video Format ReviewChatGPT Finance Feature: Plaid IntegrationChatGPT Finance Rollout and Security DetailsTwitter/X MCP Model Context Protocol LaunchMCP API Access for AI Agents ExplainedOpenClaw iOS and Android App LaunchOpenClaw Mobile Bridge Setup and UsageCursor iOS App for AI Code AgentsCursor Cloud Agents and Mobile NotificationsAnthropic Fable 5 Limited-Time AvailabilityFable 5 Cost Structure and GuardrailsAnthropic Frontier Models and US Regulations

Timestamps:

00:00 Recent AI developments and updates

05:54 API pricing and usage strategies

07:19 Choosing the right AI model

11:17 Notebook LM paid user rollout

16:17 ChatGPT's new personal finance tool

17:35 Integrating ChatGPT with Plaid for Finance

21:35 Streamlining MCP setup for developers

24:40 Introducing the OpenClaw monitoring app

29:33 Talking about upcoming super apps

32:03 Fable 5 availability announcement

34:43 Building projects with Fable 5

Keywords: 

Anthropic, Fable 5, Sonnet 5, Opus 4.8, Haiku 4.5, Mythos 5, Large Language Models, AI model naming, AI benchmarks, agentic models, adaptive thinking, 1 million context window, token output, AI hallucination rates, Anthropic subscription plan, AI API pricing, AI free plans, ChatGPT Finance, Plaid integration, finance AI assistant, OpenAI personal finance, financial data privacy, iOS AI apps, Android AI apps, OpenClaw, open source AI agent, AI mobile companion app, NotebookLM, AI video generation, vertical video, cinematic video, Gemini paid users, educational AI videos, doom scrolling video format, AI-powered coding agents, Cursor, cloud AI agents, remote desktop AI, iOS live activities, PR merge on mobile, X API, Twitter MCP server, social listening AI, developer AI tools, AI super app, project Glasswing, US AI export controls, government AI regulation, classifier guardrails, secure AI data, AI for marketers, subscription replacements, Codex, Claude cowork, Claude code, Codex remote control, always-on AI.

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Here's a little secret: ChatGPT tasks are the Gateway Agent. ?

(And you've probably been overlooking the recent update that made them crazy powerful.) 

About two weeks ago, OpenAI announced the sunset of its proactive Pulse feature and instead folded those efforts in an upgraded version of their previously released ChatGPT Tasks. 

An d while most overlooked the actual new features in Tasks, it's actually the under the hood updates over the past year since Tasks were originally released that make it more powerful than ever. 

Join us for AI at Work on Wednesdays as we share what's new and dish 5 secret shortcuts for Tasks you should be using. 

ChatGPT Tasks: What?s New, How They Work and 5 Secret Shortcuts to Use Today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Pulse Sunsetting & TransitionNew Features in ChatGPT TasksChatGPT Tasks Usage Limits by PlanChatGPT Tasks User Interface UpdatesBest Practices for Scheduling TasksTask Scheduling with App IntegrationsEditing and Managing Scheduled TasksSecret Shortcuts for ChatGPT TasksMCP Developer Mode and IntegrationAgentic Capabilities of ChatGPT AppsTasks Functionality Within ProjectsStacking Memory for Task Automation

Timestamps:

00:00 Overview of ChatGPT tasks

05:06 New task scheduling features

06:55 Removing Pulse feature complaints

11:58 Scheduling tasks with AI integration

12:58 AI automating daily scheduling

16:54 Using Chegg GPT for stock updates

20:51 Updating developer mode functionality

23:25 App capabilities have evolved

26:56 Using ChatGPT to simplify tasks

Keywords: 

ChatGPT tasks, ChatGPT scheduled tasks, OpenAI, AI automation, proactive AI, ChatGPT Pulse, scheduled task creation, recurring tasks, ChatGPT task features, ChatGPT task shortcuts, ChatGPT integrations, AI apps, model context protocol, MCP, developer mode, ChatGPT plus, ChatGPT pro plan, ChatGPT enterprise, workflow automation, Google Calendar integration, Gmail integration, Google Drive integration, project management AI, AI memory, context stacking, app connectivity, agentic apps, AI scheduling, team plan, custom prompts, ChatGPT sidebar, web interface, mobile interface, projects feature, advanced settings, notification improvements, automated daily summary, interactive charts, financial tracking AI, Codex super app, AI cheat sheet, end date scheduling, high thinking mode, data enrichment, AI personal assistant

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All frontier AI models are reportedly delayed. ?

New reports show that frontier models there were supposed to be released this month like GPT-5.6 and Gemini 3.5 Pro have been delayed as a result of the ongoing Anthropic vs. U.S. Government dispute. 

So while we may have to wait a few more weeks for SOTA AI models, we DID get a ton of new AI features and model updates that are available now. 

Tune in as we dish the 7 new AI features that can change your workflow today. 

Claude Tag, Gemini Home, Copilot Excel Skills and 7 other AI Features Available Today you Should Be Using ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

GPT 5.5 Instant Model Upgrade DetailsGoogle Finance AI Portfolio Tracker LaunchGemini-Powered Google Smart Speaker ReleaseClaude Tag Collaboration in Slack ExplainedCanva Grow 2.0 Automated Marketing PlatformGemini in Chrome Select from Screen FeatureMicrosoft Copilot Skills Automation in Excel

Timestamps:

00:00 Upcoming AI Model Releases Delayed

05:44 Switching between AI models

07:15 AI-powered portfolio analysis tools

12:51 Setting tasks with voice commands

15:20 Introducing Claude team plan

17:55 Discussing Anthropic's new feature

21:50 Canva's New Feature at Cannes

25:11 New Chrome Feature Overview

28:45 Using Copilot skills in Excel

31:33 Show schedule and subscribing

Keywords: 

GPT 5.5 Instant, OpenAI, AI model update, conversational AI, large language models, Gemini 3.5 Pro, Google AI, Anthropic, Claude Tag, Slack integration, Claude Enterprise, Claude Team Plan, Claude Slack app, multiplayer AI in Slack, channel manager AI, proactive AI assistant, Google Finance app, portfolio tracking, AI research tool, finance AI, Android AI apps, iOS AI rollout, AI-powered key moments, smart speakers, Gemini for Home Assistant, Google smart speaker, natural language conversations, Siri, Alexa Plus, bidirectional voice mode, Google Calendar integration, AI home assistant, Canva Grow 2.0, performance marketing AI, ad automation, campaign optimization AI, Magic Layers integration, LinkedIn ads, TikTok ads, Meta ads, Gemini in Chrome, select from screen, computer use capabilities, Gemini 3.5 Flash, Chrome AI features, Microsoft Copilot, Excel AI, Copilot skills, reusable Copilot workflows, finance skills in Excel, business intelligence AI, custom Excel skills, markdown skills for AI

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Good news: OpenAI's GPT-5.6 has been released! ?
Bad news: 99.9% of users can't access it. ?

While OpenAI has had to change their release approach due to increased government involvement in AI oversight, the majority of AI leaders are stuck in a new bind: 

Sitting and waiting for AI access. 

Since Anthropic's Fable fights with the U.S. government, the Trump admin has increased its regulatory oversight. 

But don't sit and wait. Because when availability opens to all, your org will need to be ready. We'll help you understand the lay of the new land. 

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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

OpenAI GPT-5.6 Announcement & DelayFederal Government?s AI Model Review ProcessGPT-5.6 Model Family: Sol, Terra, Luna ExplainedNew Durable Product Tiers in OpenAI ModelsBreakdown of GPT-5.6 Sol, Terra, Luna PricingGPT-5.6 Benchmarks: Coding and Agentic TasksSafety, Cybersecurity, and Bio-Risk CapabilitiesAnthropic Shutdown Compared to OpenAI LaunchUS-China AI Race and Model Distillation IssuesEnterprise AI Supply Chain & Access RisksOperator Playbook: Model Fallbacks and Routing

Timestamps:

00:00 Delayed GPT-5.6 release concerns

04:37 Explaining GPT 5.6 Model Tiers

08:50 Luna usage by developers

11:08 Previewing new model with US government

12:53 OpenAI's government collaboration concerns

15:55 Cutting Costs on AI Tokens

19:02 OpenAI model safety concerns

24:13 Anthropic's export order issue

27:46 Accessing the Start Here series

30:11 US enterprises and Chinese open source models

34:10 Managing AI model access risks

36:41 Navigating AI model restrictions

Keywords: 

GPT-5.6, OpenAI, AI model update, GPT upgrade, new language model, US government AI regulation, Frontier Labs, AI safety, government scrutiny, model access limitations, Sol Terra Luna, durable product tiers, API access, Codex, enterprise AI, model benchmarking, Sol model, Terra model, Luna model, AI cost efficiency, token pricing, cybersecurity capabilities, biological chemical capabilities, agentic workloads, coding benchmarks, terminal bench, exploit bench, safety stack, model overstepping instructions, model card, emergent capabilities, cyber executive order, federal involvement, Anthropic, Mythos 5, Fable 5, AI export controls, model shutdown, AI race US vs China, model distillation, Chinese labs, proprietary models, open source AI, AI military use, model routing, model fallback, supply chain risk, AI democratization, enterprise AI strategy, model subscription, model release restrictions, AI workflow optimization, artificial intelligence index, LM arena, GLM 5.2, Google Gemini 3.5 Pro

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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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Topics Covered in This Episode:

OpenAI GPT-5.6 Limited Release ExplainedOpenAI Sol, Terra, Luna Model NamingUS Government Restrictions on AI RolloutsAnthropic Mythos 5 Access and StandoffAnthropic Fable 5 Suspension DetailsGoogle Gemini 3.5 Pro Release DelayedGoogle's AI Coding Mid-Training InitiativeRaiseUS Nonprofit: AI Workforce AdaptationAnthropic Accuses Alibaba of Model DistillationOpenAI & Broadcom Unveil Jalapeno AI ChipKey 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.

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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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Topics Covered in This Episode:

Desktop Agent Vocabulary PrimerAgent Harnesses: Codex vs. Claude CodeDesktop Agent Plans: Features and WorkflowGoal Setting in Codex and Claude DesktopPlan vs. Goal: Key DifferencesAgent Loops: Automation and VerificationSub Agents: Parallel Task ManagementContext Windows and Task DelegationGuardrails, Verification, and Cost ControlTransition 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.

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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

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Topics Covered in This Episode:

Codex Record and Replay Feature OverviewTransition from Prompting to DemonstrationSkill Markdown Files as Business ArtifactsCodex vs Claude Desktop Agent ComparisonWorkflow Recording and Security Best PracticesStep-by-Step Codex Record and Replay DemoVideo Understanding Capability in CodexEditing and Sharing Skills Across PlatformsAutomating Multi-App, Cross-System WorkflowsValidation, 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

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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

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Topics Covered in This Episode:

Open Source AI's "ChatGPT Moment"GLM 5.2 Model Benchmarks & PerformanceEnterprise Adoption Drivers for Open AIMicrosoft Evaluating DeepSeek for CopilotToken Maxing to Token Efficiency ShiftGLM 5.2 Infrastructure vs. Consumer UseAutonomous Workflow Overshoot ExplainedCapability Gap and Workflow ChallengesEnterprise Scenarios for Open Source ModelsFuture 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

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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

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Topics Covered in This Episode:

Anthropic Fable 5 and Mythos 5 Export BanTrump Labels Anthropic a National Security ThreatMicrosoft Copilot CoWork Open Source Model SwitchMicrosoft Considers DeepSeek-V4 for AI Cost ReductionChinese GLM 5-2 Sets Open Source BenchmarkGLM 5-2 Challenges Proprietary AI ModelsMidJourney Hardware Pivot: AI Medical Imaging ScannerCursor Building 1.5T Parameter Model, GitHub CompetitorAI CEO Summit: G7 Pushes US-Led AI CoalitionOpenAI Prepares GPT-5.6 ReleaseAnthropic, OpenAI, Google Face Geopolitical AI ScrutinyAdvancements 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.

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ChatGPT tasks are back, Jack. ?

While we were collectively ping-ponging the Anthropic vs. U.S. government saga, the big tech AI players rolled out a TON of fresh AI features that are available today. 

? Claude Design got a big upgrade
? Google Vids got some serious AI sparkle
? And there's a new Open Weights model king 

We'll break it all down. 


ChatGPT?s Task Comeback, Claude?s Design upgrade, Codex Copies your workflow and 7 other Fresh AI features you?ll Want to use Today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Pulse Sunsetting and Tasks Comeback
2. ChatGPT Scheduled Tasks Features and Access Tiers
3. Claude Design June Update Overview
4. WYSIWYG Editing and Design System Imports in Claude Design
5. Claude Design Export Options and Third-Party Integrations
6. Google Vids AI Avatars Upgrade with Veo 3.1
7. OpenRouter Fusion Multi-Model Synthesis Feature
8. Claude Code Artifacts for Team and Enterprise Plans
9. GLM 5.2 from ZAI Open Weights Model Overview
10. GLM 5.2 Benchmarks and Enterprise Use Cases
11. OpenAI Codex Record and Replay Feature Explained
12. Codex Record and Replay vs. Traditional RPA Tools

Timestamps:

00:00 Intro: 7 new AI features you can use today

02:35 ChatGPT Tasks: Pulse is gone, Tasks are back

04:31 Who has access to ChatGPT Tasks

08:18 Claude Design June update overview

09:14 WYSIWYG editing and Claude Code integration

12:07 Claude Design export options and third-party integrations

15:21 Google Vids AI Avatars upgrade

18:15 OpenRouter Fusion multi-model synthesis

21:54 Claude Code Artifacts for teams

25:36 GLM 5.2 from ZAI open weights model

29:02 OpenAI Codex Record and Replay

Keywords: 

ChatGPT Tasks, ChatGPT Pulse, OpenAI, scheduled tasks, proactive AI agent, Claude Design, WYSIWYG editor, Claude Code, design system import, PowerPoint export, Google Vids, AI avatars, Veo 3.1, Gemini 3.1 Flash, OpenRouter Fusion, model fusion, multi-model synthesis, Claude Code Artifacts, Claude Team plan, GLM 5.2, ZAI, open weights, MIT license, mixture of experts, Codex Record and Replay, RPA, workflow automation, Artificial Analysis, Hugging Face, Canva integration

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The Fable 5 drama continues.... but what does it really mean? ?

Anthropic released the most powerful AI model in the world, only for it to be pulled worldwide days later over bio and cyber concerns. 

Sound like a tough break, right? 

But, was the writing on the wall all along? Was Anthropic asking for this type of regulation? And what does the future of heavy-handed government regulation mean for your company and its AI strategy? 

We'll tackle it all, LIVE. 

Fable 5 Drama Updates: The latest Between Trump vs. Anthropic and How it Impacts You -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

What Are Fable V and Mythos V: Differences Explained
2. Anthropic's Pre-IPO Timeline From April Through June
3. The Government's Export Control Directive: What It Said
4. Anthropic's Blog Post Response vs. David Sacks' Rebuttal
5. Amazon CEO Andy Jassy's Role in Triggering the Crackdown
6. China-Linked Access and the Geopolitical Stakes
7. Day-by-Day Breakdown: Friday Through Wednesday
8. Reactions From Alex Stamos, Yann LeCun, Jeremy Howard
9. CyberGym Benchmark and Microsoft's MDash Comparison
10. Safety Theater Accusations Against Anthropic

Timestamps:

00:00 Fable V drama overview and why it matters

01:35 Big picture recap and episode roadmap

03:51 Fable V vs. Mythos V explained, Project Glasswing

05:01 Anthropic's pre-IPO hype timeline April to June

06:31 Friday: government directive and global shutdown

07:53 Pre-IPO context: SpaceX comparison and market stakes

11:42 Background: February Pentagon dispute origins

13:48 Friday export directive and Anthropic's blog post statement

16:19 David Sacks rebuttal read in full

21:48 G7 summit, Amazon's role, and the China connection

26:57 Tuesday security letter and Wednesday Wired report

30:59 Industry reactions: LeCun, Stamos, Howard, Ottenheimer

36:44 Jordan's full hot take: Anthropic's IPO chess game

43:09 What your company should do now

Keywords: 

Fable V, Mythos V, Anthropic, Dario Amodei, export control directive, jailbreak, national security, Howard Lutnick, David Sacks, Andy Jassy, Project Glasswing, Anthropic IPO, US government, Trump White House, Pete Hegseth, Amazon AWS, CyberGym benchmark, Microsoft MDash, Yann LeCun, AI safety theater, frontier AI, enterprise AI strategy, fallback models, G7 summit AI, geopolitics AI

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For 799 episodes, we?ve cut it to you straight on AI. 

(Episode 800 will be no different.) 

To celebrate our 800th episode, we took a ?State of AI? type look across the sector and broke down three big categories: 

8 Uncomfortable AI Truths, 10 Moves Smart Teams Are Making, 10 Questions Every AI Leader Must Ask. 

Join us as we break it all down. 

Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Eight Uncomfortable AI Truths for LeadersAI Model Risk: Single-Model DependencyMoats Shifting to AI Operating LayersWorkflow Design vs. Prompting in AIStatic Business Artifacts Becoming AI DebtWorkflow Automation and AI Task ReshapingOpen Weight Models as AI ResilienceAgentic AI: Operational vs. Theoretical RisksTen Smart AI Team Moves ExplainedPortable AI Stack Building StrategiesWorkflow Mapping Before AI Tool AdoptionBuilding Role-Specific AI Skill PacksAutomating Reports and Briefings with AIConverting Static Files to Living ArtifactsAI Agent Deployment: Read-Only Mode TestingRouting Work by Model Value and CostMeasuring AI Output Quality, Not ActivityRed Teaming AI Workflows Beyond ModelsCapturing AI Decision Reasoning for BusinessTen Critical AI Questions for Leaders

Timestamps:

00:00 Episode 800: 8 AI Truths, Leader Moves

05:40 Rising Trend of AI Super Apps

07:37 AI series and future capabilities

13:01 Challenges of AI Implementation

14:33 Impact of AI on Work Processes

19:44 Microsoft's open-source AI strategy

23:24 Avoiding shiny new AI tools

25:44 Using marketing skill packs

29:38 Criticism of human-in-the-loop systems

33:44 Managing AI and Cost Efficiency

35:50 Evaluating AI content effectiveness

40:15 Key questions for leaders

42:35 Challenges in AI workflow management

44:52 Evaluating AI costs and outputs

48:20 The rise of AI capabilities

Keywords: 

AI truths, AI workflow automation, generative AI, artificial intelligence, AI model risk, single model strategy, business continuity, model export control, government AI policy, operating layer, AI super apps, codex, unified memory, large language models, agentic AI, workflow design, AI prompting, scheduled tasks, AI skills, context engineering, static business artifacts, organizational debt, AI native deliverables, autonomous AI, AI job redesign

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Ready for the AI buzzword for the rest of 2026? 

Superapps. 

No, not China?s WeChat. 

The AI Superapp era is much different, and it?s about to hit the business world hard. So, if you aren?t sure what an AI Superapp is or if your company should be using one, this is an episode you can?t miss. 

AI SuperApps: Why Every Company is Racing to Create One and What They are ? An Everyday AI Chat with Jordan Wilson

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

AI Super App Race: OpenAI, Anthropic, MicrosoftWhat Is an AI Super App? ExplainedAgentic Shift: Chatbots to Autonomous CoworkersSuper App Harness vs. AI Model as MoatThree-Pane Super App Interface InnovationCodex vs. Cursor vs. Claude BenchmarksEnterprise Desktop Integration and Super App StrategySuper App Security, Risks, and Best Practices

Timestamps:

00:00 Super app race and ChatGPT integration

06:04 Emergence of desktop super apps

08:41 Codex as the leading super app

11:22 Shift to AI desktop super apps

14:13 The AI super app's proactive updates

17:26 Token efficiency in super apps

21:29 Future of AI model usability

27:03 Anthropic's role in AI development

30:19 Google's Gemini 3.5 and Anti-Gravity Launch

33:13 Risks and responsibilities with AI apps

34:31 Cautionary advice on AI usage

38:03 Introduction to AI super apps

Keywords: 

AI super app, AI superapps, super app era, desktop super app, agentic AI, autonomous coworker, agentic context carry, agentic work future, AI execution layer, super app harness, model moat, code interpreter, Codex, OpenAI super app, Microsoft super app, GitHub Copilot, Anthropic, Claude Code, Claude Cowork, Google anti gravity, Gemini 3.5 Flash, Cursor, desktop agentic coworker, unified memory, files automations, approvals and automations, browser control, computer use, three pane interface, context engineering, prime prompt polish, token efficiency, user experience, read-write access, autonomous workflows, desktop AI companion, schedule automations, approval workflows, cross-app integration, enterprise adoption, permission controls, role based access, sandboxing, expert-driven loop, AI safety, risk management, computer automation, enterprise AI strategy, AI model integration, productivity automation

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The drama around Anthropic's Fable 5 model clogged our collective attention spans. ?

But in between all of that? 

OpenAI filed to go public, Apple announced its next generation of AI, SpaceX had a record-breaking day on the stock exchange and more. 

Chances are you missed quite a bit of this. 

We've got you with our weekly 'AI News That Matters' series. 

Ep 798: SpaceX goes public, OpenAI declares pricing war, Microsoft stops Claude Fable use and more AI news

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

Anthropic Fable 5 Shutdown by U.S. GovernmentApple WWDC AI Announcements and Siri Gemini IntegrationOpenAI ChatGPT Super App Transformation NewsOpenAI IPO Filing and Pricing War PlansPrometheus AI Funding and Artificial General Engineer InitiativeGoogle AI Overviews German Court Ruling ImpactAnthropic Fable 5 Data Retention ControversyMicrosoft Internal Ban on Anthropic Fable 5SpaceX IPO Launch and xAI/Grok IntegrationMajor AI Industry Funding, Partnerships, and Regulatory Moves

Timestamps:

00:00 White House halts Anthropic AI

04:06 US government export control on AI

09:25 Apple's latest AI system updates

13:48 Chat is dead, new OpenAI direction

14:57 Enterprise focus and competitive shift

20:12 Prometheus $12B funding and AI focus

23:22 Legal challenge over Google's AI search

26:00 Anthropic's new AI models

30:51 Concerns about data retention policy

33:48 Critiques on Fable 5 limitations

37:03 Recent AI developments and IPOs

41:35 SpaceX becoming a compute player

42:56 Discussing SpaceX and AI compute

Keywords: 

Anthropic Fable 5, Mythos five, Anthropic, OpenAI, IPO filing, AI pricing war, Apple Intelligence, Siri AI update, Gemini AI, Privacy-first AI, Large Language Model, AI model safeguard, National security AI, Export controls, Amazon AI investment, Microsoft Copilot, Data retention policy, AI guardrails, Enterprise AI, Token pricing, Super app, Agentic models, AI in manufacturing, Artificial general engineer, Prometheus AI, Jeff Bezos AI investment, Project Glasswing, Cybersecurity AI, Google AI Overviews, AI-generated content, German court AI ruling, Search AI summarization, AI in search, AI benchmarks, API access AI, AI hallucinated citations, AI infrastructure funding, China AI funding, SpaceX IPO, GROC, xAI, AI compute, AI ecosystem, Colossus data centers, AI leadership, AI industry backlash, AI compliance standards, Enterprise data security, HIPAA AI compliance, AI lawsuit, AI in engineering, AI agent swarms

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If you spent too much time prompting Claude's Fable 5 before it likely goes away to subscribers in 10 days, you might have missed some AI gems. ?

? Google's new live model might change how the world communicates
? ChatGPT rolled out interactive charts and email sending
? Microsoft Copilot rolled out an interactive board of advisors

And a lot more. 

Claude's Mythos and Fable 5, Google?s New Live AI, ChatGPT?s New Powers and 7 Other AI Features You Can?t Afford To Not Use-- An Everyday AI Chat with Jordan Wilson

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

Anthropic Claude Fable 5 Mythos Model OverviewClaude Fable 5 Data Retention Policy ControversyMicrosoft?s Stance on Claude Mythos Model IntegrationClaude Fable 5 Benchmark Performance AnalysisGoogle Gemini 3.5 Live Speech Translation DemoReal-Time AI Translation for Google Meet & AppsChatGPT Interactive Charts and Visualizations UpdateChatGPT Inline Email Drafting and Sending FeatureMicrosoft Copilot Studio Rebuild and Workflow EnhancementsCopilot Multi-Agent Team of Advisers IntroductionHeyGen Hyperframes Video Plugin for ClaudeOpenAI Canvas and Writing Blocks Feature Notes

Timestamps:

00:00 New AI features this week

05:56 Concerns over Anthropic's data retention

07:28 Infropic's expensive but useful API

12:27 Live translation in real-time

15:32 Enhanced ChatGPT features

18:45 Microsoft 365 Copilot updates

20:37 Improved AI agent building tools

24:32 Testing HeyGen and Codex features

27:45 Explaining AI advisers feature

31:42 Live demo of new email feature

33:42 Upcoming AI Announcements

Keywords: 

Claude Fable 5, Anthropic Claude, Mythos family, Mythos 5, Project Glasswing, AI model release, large language models, Microsoft Copilot, multi agent group, Google live translation model, speech to speech translation, Gemini 3.5 Live, Google AI Studio, interactive charts, ChatGPT, AI-powered email, send emails in chatbot, Microsoft Foundry, AWS Bedrock, Vertex AI, API pricing, data retention policy, cybersecurity safeguards, software engineering AI, knowledge work, vision AI, scientific research AI, benchmarking AI models, instruction following, context retention, turn-by-turn translation, Google Meet translation, real time translation, noisy environment translation, business language translation, writing blocks, editing messages with attachments, Copilot Studio, low code AI, agentic orchestrator, workflow automation, HeyGen Hyperframes, video editing AI, HTML video framework, AI-powered video generation, Copilot team of advisers, AI roundtable, multiple AI perspectives, Copilot Labs, Gmail integration, Outlook integration, email workflow AI, productivity AI, enterprise AI tools.

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Anthropic's new Claude Fable 5 is both the best model in the world and potentially one of the most dangerous. ?

The best coding model on the planet. 

Viral abilities to create 3D worlds and interactive environments. 

But the real question is: should you use it. 

Because as capable as Anthropic's new model is, the amount of hidden downsides might be enough for any enterprise to say no. 

Join us LIVE to learn more. 

New Claude Fable 5 and Mythos 5: Anthropic's Boldest, Riskiest Launch -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Claude Fable 5 and Mythos 5 OverviewStripe's Code Migration with Claude Fable 5Fable 5 Capabilities vs. Opus 4.8Claude Fable 5 Access Restriction TimelineFour Major Drawbacks of Fable 5Benchmark Comparisons: Fable 5 vs. GPT-5.5Usage Limits and Downgrades in Fable 5Anthropic's New Data Retention PolicyInstruction Following and Long Context PerformanceFable 5's Coding and 3D Simulation AbilitiesSubscription vs. API Pricing ModelsAnthropic's Enterprise Targeting and IPO Strategy

Timestamps:

00:00 Anthropic's powerful new AI release

03:21 Introducing the Fable model drawbacks

07:22 Discussing user habits with Fable

12:35 Using Fable five before June 22

14:51 New data handling policies

19:08 Discord data breach concerns

21:52 Agentic capabilities and pricing tiers

25:35 Comparing AI model performance

27:13 Issues with model instruction following

32:14 Evaluating AI investment value

33:18 Discussing language model efficiency

38:57 Downsides of using Fable AI

41:11 Anthropic's data retention issues

45:01 Evaluating new AI models

46:12 Closing and subscription reminder

Keywords: 

Claude Fable 5, Claude Mythos 5, Anthropic, frontier AI model, AI capabilities, capability shock, step change AI, AI model launch, Stripe code migration, 50 million line code base, API access, democratization of AI, enterprise AI, data retention policy, 30 day retention, AI privacy, Claude model lineup, Haiku, Sonnet, Opus 4.8, Fable 5 guardrails, Project Glasswing, usage restrictions, model downgrades, hidden fallbacks, input and output storage, benchmark comparisons, GPT-5.5 Pro, OpenAI, Gemini 3.1 Pro, Gemini 3.5 Flash, artificial analysis benchmarks, instruction following, long context reasoning, agentic capabilities, code generation, interactive 3D worlds, business leaders and AI adoption, AI subscription pricing, AI cost per intelligence, rate limits, model transparency, security safeguards, model distillation, model copying prevention, IPO, model hype, safe AI deployment, model trust.

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One of the biggest problems of vibe coding? 

Securely keeping the project up to date and sharing it with your team to make it actually useful. 

And there?s a new solution that does just that, Codex Sites. With a few simple prompts, you can turn vibe coded throwaway apps into working pieces of software that your team can share. 

We put AI to work on Wednesday and show you how to get the most out of Codex Sites. 

Codex Sites: The Lovable and Replit Killer? A hands-on Guide to Codex Sites -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Codex Sites vs Static File SharingLive Dashboards and Automated WorkflowsBuilding Internal Apps With Codex SitesReal-Time Data Integration in CodexAgent Layer and Role-Based Access ControlCodex Sites vs Replit, Lovable, BoltDynamic Business Insights and CollaborationCodex Sites Secure Team Sharing LimitationsAutomations and Custom Skills in CodexFuture of AI Native Business Tools

Timestamps:

00:00 The future of work automation

03:43 Free daily newsletter highlights

08:29 Managing audience momentum dashboard

12:04 Pulling stats and data access

14:48 Creating dynamic web tools

16:18 Editing video collaboration challenges

21:09 Comparing coding platforms like Replit

25:47 Future of Business Analytics Tools

27:11 Introducing the Start Here series

32:35 Updating old content ideas

34:53 Streamlining team efficiency with AI

37:02 Episode use cases overview

Keywords: 

Codex sites, OpenAI, AI dashboards, live software, file sharing, business automation, dynamic data, ChatGPT business, agentic system, Chrome integration, MCP servers, skills, plugins, Copilot Scout, internal dashboards, data analysis, role based access control, data governance, enterprise AI tools, site hosting, live app builder, prompt driven apps, automations, Replit alternative, Lovable competitor, full stack app builder, dynamic business context, annotation feature, nontechnical teams, BI dashboards, Kanban tracker, evergreen content, live indicators, audience momentum dashboard, sub agent, responsive design, visual design, parallax feature, actionable insights, version control, dynamic deliverables, artifact, demo over memo, knowledge work, IT security, internal URL sharing, AI native workflow, internal business tools, real time updates, start here series

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Apple just announced its ?new? Siri AI. 

But is is ACTUALLY new? And will Apple actually be able to ship it? 

At its WWDC 2026 conference, Apple unveiled kinda the same thing it promoted at its WWDC 2024 conference but failed to deliver on. 

There?s a new Siri AI and improved Apple Intelligence that the company said will be rolling out later. 

So what does it do? And should you start readjusting your workflow now? 

We break it all down in today?s episode. 

Apple?s New Siri AI: Productivity Gamechanger or More Apple Intelligence Marketing Fluff? ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Apple Intelligence and Siri AI OverviewApple?s AI Announcement History and LawsuitsSiri AI?s Context-Aware Capabilities ExplainedApple Intelligence Feature Availability TimelineNew Siri AI App and Cross-Device SyncVisual Intelligence and Spatial Reframing DemoHardware Requirements for Siri AI FeaturesGoogle Gemini Partnership for Apple IntelligenceComparison With Copilot, Gemini, and ClaudeLimitations and Delays in AI RolloutOn-Screen Awareness and Web SummarizationConsumer Usefulness and Privacy Positioning

Timestamps:

00:00 Discussing Apple's new Siri AI

04:02 Apple's AI challenges and legal issues

09:23 New Siri app syncing feature

11:48 Siri's unhelpful AI response

13:56 Apple's new AI photo tools

18:26 Apple Intelligence controversy in 2024

21:21 Frustrations with Siri's dictation

24:10 Concerns about Apple's AI performance

26:54 Apple's late AI strategy

29:39 Ending and call to action

Keywords: 

Apple Intelligence, Siri AI, Apple AI update, new Siri, AI productivity, Apple WWDC, iOS 27, Apple developer beta, context-aware AI, Apple intelligence features, Apple class action lawsuit, Apple AI lawsuit, Siri app, on-device AI, Apple iCloud sync, Siri on-screen awareness, visual intelligence, spatial reframing, Apple photo editing AI, image playground, Apple Safari AI, Apple privacy, Google Gemini partnership, Apple-Google AI, private cloud compute, edge AI models, AI reasoning, unified memory requirement, iPhone 17 Pro Max, Mac M chips AI, Apple dictation, AI assistant, message summarization, reminder integration, mail suggestion AI, home camera AI, AI in CarPlay, call context AI, slow AI response time, AI rollouts, AI hardware limitations, AI worldwide availability, Apple AI in EU, AI in China, privacy in AI, Apple Vision Pro AI, calendar AI integration, Copilot alternative, ChatGPT comparison, Microsoft 365 Copilot, Google Circle to Search, Claude AI, AI writing tools, AI summarization, AI message context, AI-powered reminders.

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The federal government wants equity in OpenAI (and others) and ... the people might get a slice? ?

This week in AI news was fast-paced, controversial and kinda weird. 

New models, new agents, big partnerships and more. 

If you miss a week, you'll feel behind by a year. We do the heavy lifting for you with our AI News That Matters on Mondays so you seem like the smartest person in AI. 

Apple?s WWDC AI plans, U.S. Gov wants equity in Big Tech, OpenAI?s business moves and more -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Calls for Frontier AI PauseAnthropic IPO Filing and Timing ControversyTrump AI Executive Order?Model Review PolicyU.S. Government Considers AI Equity StakesMicrosoft Build: New Autopilot Agents AnnouncedCopilot Super App and MAI Model LaunchApple WWDC AI Plans and Siri OverhaulApple-Google Gemini AI Integration RumorsOpenAI Codex Business Super App UpdatesOpenAI Codex?Six New Business PluginsCodex Sites Feature and Plugin IntegrationsSpaceX IPO and XAI Merger DetailsRecord SpaceX Valuation and Nasdaq ListingCloudflare: AI Agents Surpass Human Web TrafficNVIDIA Nemotron 3 Ultra and AI HardwareChatGPT Hits 1 Billion Weekly UsersGoogle Seeks $85 Billion AI InvestmentOpenAI Frontier Models and AWS Bedrock IntegrationMicrosoft Solera OS for AI DevicesAI-Driven Mass Layoffs Reported in U.S.

Timestamps:

00:00 Warning on AI development pace

06:38 Trump's executive order on AI safety

09:54 Discussing AI and government concerns

12:03 Introducing Microsoft's Scout Autopilot

16:18 WWDC AI and Siri updates

18:09 Tim Cook's final conference

22:37 New plug-ins and features overview

25:08 SpaceX IPO announcement

27:57 Debating Government Stakes in AI Firms

32:03 AI news roundup conclusion

35:11 OpenAI super app and Mythos five

38:15 Google DeepMind's new model launch

Keywords: 

Apple WWDC AI, Apple intelligence, Siri overhaul, AI business moves, OpenAI, Anthropic IPO, federal government equity, US government in big tech, AI regulatory executive order, AI model review, Microsoft Build conference, Copilot agents, Copilot super app, MAI models, autopilot Scout, GitHub Copilot, RTX Spark laptops, NVIDIA partnership, Surface RTX Spark Dev Box, Google Gemini integration, Anthropic Mythos model, Frontier AI development, AI safety, cybersecurity benchmarks, AI-generated web traffic, NVIDIA Nemotron 3 Ultra, Solera OS, Android AI agent devices, ChatGPT 1 billion users, AWS Bedrock OpenAI partnership, smarter ChatGPT memory, Alphabet AI funding, Airbnb AI lab, Claude Mythos 5, Notebook LM file generation, token billing, AI agent addiction, Arena AI leaderboard, AI agency layoffs, Google DeepMind Jemma 4, Reeve 2.0, Ideogram 4.0, AI stimulus package, SpaceX XAI merger, SpaceX IPO, Grok chatbot, sovereign wealth fund AI, Trump AI policy, Bernie Sanders AI tax, US AI national security, OpenAI Codex plugins, Codex sites feature.

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? New autonomous agents. 

? Canva designs made for you. 

? Codex upgrades to make your business move. 

If you had your head down in spreadsheets this week, you missed some MAJOR AI upgrades that are available now. 

We track what?s hot and what?s not and break it all down on Fridays with our Friday Features. 

Autonomous Copilot agents, new Codex tools, Github CoPilot app and 7 more AI updates you should be using ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI Codex Role-Specific Plugins LaunchMicrosoft Build Conference AI Feature ReleasesChatGPT Memory and Business Account UpgradesMicrosoft Flash Image Model for PowerPointCanva Integrated with ChatGPT and CodexGitHub Copilot Standalone Desktop App PreviewMicrosoft Autopilot Always-On Work AgentsOpenAI Models Now Available on AWS BedrockCodex Sites: AI-Built Internal Web Apps

Timestamps:

00:00 OpenAI's big money moves

03:47 Explaining role-specific plugins

09:02 Microsoft's new image model release

11:09 Microsoft?s AI strategy and Canva update

14:23 Canva integration with ChatGPT

16:56 GitHub Copilot's new canvas feature

20:46 AI token subscription changes

24:42 AWS adds OpenAI models to Bedrock

28:25 Introducing OpenAI's CodeX Sites Feature

32:07 Launch of OpenAI's New Plug-in

34:16 Overview of podcast structure

Keywords: 

Autonomous copilot agents, Codex tools, GitHub Copilot app, OpenAI Codex, ChatGPT business accounts, OpenAI enterprise, Microsoft Build conference, Microsoft always-on agents, AWS AI updates, Canva plugin, ChatGPT memory upgrade, Windows Codex integration, Microsoft Flash model, Enterprise apps integration, Role-specific plugins, Sales data analytics, Product design AI, Creative production AI, Investment banking plugin, Public equity investing, Data analytics plugin, Workspace admins, App permissions, Role-aware work agent, Financial research automation, Microsoft image generation model, PowerPoint AI integration, OneDrive AI features, Visual design creation, Canva app for ChatGPT, Canva MCP server, Agentic context carry, Full screen design preview, GitHub Copilot desktop app, GitHub Copilot Canvas, Agent-native command center, Parallel agent work tree, Code app interface, Model options in GitHub, Token usage limits, Subscription token subsidizing, Anthropic token efficiency, Amazon Bedrock, GPT-4, GPT-4.5, Small language models, Token reckoning, Security governance, Inference engine, Code app sidebar, Codex Sites, Internal dashboards, Project trackers, Interactive web apps, Shareable AI apps, Enterprise data connectors, ChatGPT Canvas, Automated workflow, Workplace authentication, Creative briefs repository.

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Did you miss everything Microsoft announced at its Build conference? ?

We didn't. 

From autonomous agents in Copilot to new models and agent-first hardware, Microsoft went full stack with its lineup. 

We break down our four biggest takeaways and give you the implications. 

Microsoft Build Recap: 4 New AI Features That Stood Out -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Microsoft Build 2024 Top AI TakeawaysCopilot Super App and Autopilots LaunchScout Agent for Autonomous Desktop WorkMicrosoft MAI Thinking One Language ModelMAI Models vs. Frontier AI BenchmarksNVIDIA Partnership: RTX Spark AI LaptopsSurface RTX Spark Dev Box for Local AIProject Solera: Agent-First AI DevicesSolera Enterprise Use Cases & Privacy ImpactsMicrosoft's AI Ecosystem Competitive Strategy

Timestamps:

00:00 Microsoft's AI advancements at Build

05:08 Microsoft's AI strategy discussion

07:38 Introducing the first autopilot, Scout

10:57 Desktop AI assistants and their risks

13:54 Discussing model parameters and performance

16:56 MetaMuse Spark's rapid development

20:34 Mini data center on your desk

23:39 Introducing the Start Here series

28:04 Humanoids in industrial environments

31:19 Discussing Microsoft and AI advancements

35:51 Microsoft's AI investments and competition

38:16 Microsoft AI advancements discussion

39:59 Microsoft's diverse AI strategy

Keywords: 

Microsoft Build 2024, Microsoft AI, AI features, AI updates, Copilot, Copilot Super App, Copilot autopilots, Microsoft Scout, autonomous agents, agentic desktop, local AI models, MAI models, MAI thinking one, MAI code one flash, medium language models, large language models, model benchmarks, model parameters, AI in the workplace, Microsoft-NVIDIA partnership, RTX Spark laptop, Surface RTX Spark Dev Box, local inference, on-prem AI, cloud models, OpenClaw, small language models, ION models, Project Solera, agent-first devices, chip-to-cloud platform, Qualcomm partnership, embodied AI, frontline productivity, healthcare AI, enterprise AI hardware, AI security, agent drift, industrial AI, privacy concerns, AI race, tech competition, Satya Nadella, Anthropic investment, OpenAI partnership, market cap, future of work, proactive AI, AI-powered hardware, developer conference, productivity tools, business automation.

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No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. 

?

Most business leaders miss the obvious: there?s dozens of AI tools and LLMs that make slides and you probably didn?t know. 

Case in point: Claude, Copilot, ChatGPT and Gemini can all create slides by default that you can download or edit with natural language. 

And that?s just the start. 

So why are you and Deborah meeting 3 times a month about the quarterly KPI again? 

Just watch this and save some time. 

How To Make Slides with AI: Hands on Comparison With the 9 Most Popular Options ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Slide Generation Tool Comparison DemoClaude Design vs. Claude Opus Slide OutputsGamma AI Presentation Hallucinations & ErrorsGoogle Gemini Slide Creation Capabilities ExplainedGoogle Slides AI-Powered Deck Generation WorkflowNotebookLM Nano Banana Slide Deck EvaluationChatGPT Slide Creation Quality AssessmentMicrosoft Copilot and PowerPoint IntegrationCanva AI Slide Deck Hallucination IssuesBest AI Tools for Slide Deck Creation

Timestamps:

00:00 AI tools for slide generation

03:12 Slide generation tools comparison

08:43 Creating AI news recap slide deck

12:35 Discussing Gamma's early entry

14:57 Google Gemini's new features

18:55 Using Google's BookLM tool

20:58 Microsoft Copilot online demo

23:56 How to access the start here series

28:54 Using Chat GPT in PowerPoint

32:05 Discussing AI design aesthetics

35:14 Reviewing main stories and updates

37:57 Evaluating AI model features

41:01 Using notebook LM with Nano Banana

43:40 Exploring chat gpt layout

46:01 Reviewing presentation slides quality

50:03 Reviewing PowerPoint design features

52:41 Discussing AI tool limitations

54:55 Show closing and subscription reminder

Keywords: 

AI slide generation, AI presentation tools, AI-powered slide deck, PowerPoint AI, Canva AI, Google Slides AI, Gamma AI, Claude Design, Claude Opus 4.8, Gemini 3.5, Microsoft Copilot, Copilot Pro, NotebookLM, NanoBanana, ChaptGPT PowerPoint integration, Large Language Models, AI prompts, Prompt adherence, Tool calling, Automated presentation design, AI visual design, Token usage, Multimodal models, Image generation in slides, AI spreadsheet creation, Personalized decks, Dynamic data input, Customization, Reasoning models, Agentic systems, Output quality, Skill usage in AI, Enterprise AI tools, Slide creation workflow, Editing AI presentations, Fact-checking AI slides, Web-based presentation generation, Accessibility for beginners, Error handling in AI tools, Real-time AI demos

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More tokens = more ROI, right? ?

Maybe. 

But probably not. 

Maybe one of the weirdest AI trends that has oddly stuck in 2026 is tokenmaxxing -- the practice of individuals and companies racing to use as many AI tokens as possible and equating it with business progress. 

Reality check: token efficiency is the real rage. 

So, how do you measure token efficiency and how can your company avoid the cost pitfalls of tokenmaxxing? 

Join us as we break it down.

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Topics Covered in This Episode:

AI Token Maxing: Rise and FallDefining AI Tokens and TokenizationFour Main Types of AI Token UsageAI Agentic Loops and Token ConsumptionCorporate Token Leaderboards and Meta ExampleRisks of Unmonitored Token Burn in EnterprisesToken Subsidies and AI Pricing TrendsMeasuring Token Efficiency versus Token VolumeBenchmarking Models: Cost per Intelligence OutputShifting from Model Selection to Harness EfficiencyBest Practices for Enterprise Token OptimizationMonitoring AI Agents for Token and Cost Control

Timestamps:

00:00 Rethinking AI token usage

05:46 Token usage misconceptions in companies

09:15 Using token incentives

10:48 Tech companies adding usage limits

13:21 Understanding model token usage

17:16 Agentic models and tool use

22:21 Experimenting with token efficiency

25:18 Measuring AI's economic impact

29:11 Comparing AI intelligence and cost

30:36 Cost concerns with Anthropics' AI models

35:20 Importance of token efficiency

38:03 Takeaway from Microsoft CTO chat

Keywords: 

token maxing, token efficiency, AI token usage, AI tokens, token consumption, large language models, agentic loops, AI spend, token cost, model subsidies, subsidized AI plans, enterprise AI strategy, context window, prompt engineering, API usage limits, output tokens, input tokens, reasoning tokens, tool use tokens, scheduling agents, agentic AI, model harness, Claude Opus, OpenAI GPT-5.5, Gemini 3.1 Pro, Anthropic models, artificial analysis intelligence score, DeepSuite benchmark, cost per intelligence, modular AI architecture, API overages, context window size, scheduled agents, human-in-the-loop, expert-driven loop, output monitoring, benchmarking AI models, economic value from AI, efficiency metrics, measuring ROI, AI model performance, cost per output, chain of thought, AI tool integration, AI cost management, long-running agents, dynamic data integration.

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June is here so guess what? It?s officially Hot AI Summer. ?

Case in point? 

On the other side of the world, Monday is already underway and NVIDAI has already shaken up the AI world with a big partnership with Microsoft. 

Speaking of Microsoft, they?re reportedly developing a Super App that could put them back on the AI innovation map. 

And while Anthropic shipped an impressive new model in Opus 4.8, OpenAI is about to ship out?. Robots? ?

We do the hard AI homework all week so you can reap the benefits of knowing all the AI News and why it matters. 

Join us to get caught up. 

Ep 788: Anthropic releases Claude Opus 4.8, NVIDIA?s big PC play, Microsoft?s upcoming Super App and more 

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

Microsoft Copilot Super App Leak BreakdownNVIDIA Nemotron 3 Ultra Model ReleaseNVIDIA and Microsoft ARM-Based AI LaptopsCEO Layoffs Blaming AI CritiqueOpenAI and Anthropic Shift on AI Job RisksOpenAI Robotics Initiative RelaunchAnthropic Opus 4.8 Model Update DetailsAI Model Feature Comparisons and User FeedbackRapid-Fire AI Industry Updates and Rumors

Timestamps:

00:00 Microsoft's new super app plans

05:10 Discussing potential super app concept

09:43 Microsoft's AI laptop initiative

13:02 CEOs blame AI for layoffs

15:03 CEOs discuss AI's impact on jobs

17:58 Comparing AI predictions by leaders

23:27 OpenAI's robotics journey and investments

25:42 INTROPIC's latest model update

28:32 Evaluating language model performance

32:18 Tech news roundup and leaks

34:05 Upcoming AI Model Announcements

Keywords: 

Microsoft Copilot, Copilot super app, Copilot Cowork, GitHub Copilot, Copilot Autopilot, Microsoft Build Conference, AI model update, NVIDIA, Nemotron 3 Ultra, Open weights AI model, Jensen Huang, Computex, ARM-based CPU chips, RTX Spark, Local AI agents, Enterprise AI, Anthropic, Opus 4.8, Mythos model, AI benchmarks, Small model improvements, AI model honesty, AI job impact, CEO layoffs AI, Generative AI, White collar job automation, Sam Altman, Dario Amodei, OpenAI robotics, Sora video model, World simulation, Dactyl robotic hand, Figure AI, Tesla Optimus, Paid AI models, Meta AI, Snowflake AWS deal, Graviton chips, DeepSeek price reset, Robinhood agentic trading, DuckDuckGo no AI search, Google Gemini, Apple smart glasses, CNN copyright suit, Perplexity, GROC Imagine Video, Computer using agents, Copilot Health, AI-powered laptops, AI entrepreneurship, Gig work AI, NotebookLM canvas, MiniMax M3 model, Multimodal, 1M token context window, BioGPT Rosalind, CapEx data center jobs, Stock price layoffs, AI tools for business, AI-powered search, AI in healthcare, AI for trading, AI layoffs narrative

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Sure, you didn?t miss Anthropic?s BIG Opus 4.8 drop. ?

- But, did you know that ChatGPT completely updated how team Agents work and (literally) no one talked about it? 
- Or that Google unlocked a (kinda secret) new way to have NotebookLM work for you? 
- Or that ElevenLabs just changed how the world communicates? 

You don?t have hours each day to know which of the hundreds of weekly AI updates are worth your time. We do. 

On our weekly AI Features Friday show we break down 7 Fresh Friday Features you can?t miss. 

Claude Opus 4.8, New Copilot Studio Agents, ChatGPT Agent Updates and 7 Other AI Features You Can Use Today ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Claude Opus 4.8 Model PerformanceClaude Opus 4.8 Token Efficiency & PricingClaude 4.8 Code Dynamic Workflows OverviewChatGPT Workspace Agents Model Controls UpdateCopilot Studio Computer Using Agents LaunchMicrosoft 365 Copilot New WorkIQ UIGoogle NotebookLM Google Drive Auto-SyncEleven Labs Dubbing v2 Emotion-Preserving Translation

Timestamps:

00:00 Anthropic's new AI model release

04:59 Discovering Google's notebook LM AI

07:00 Excited about Google audio summaries

10:03 Explaining GPD model updates

14:35 Introducing dynamic workflows in Claude

17:25 Computer using agents in Copilot

22:55 Improving Microsoft Copilot UI

26:23 Impressive text-to-speech update

29:55 Anthropic's adaptive thinking update

32:36 Overview of Claude Opus 4.8

34:27 Comparing AI model versions

39:10 Discussing cloud service limitations

Keywords: 

Claude Opus 4.8, Anthropic, AI model, AI benchmark, Claude Opus update, Claude code, Claude Code dynamic workflows, workspace agents, ChatGPT agent updates, GPT-4.5, OpenAI, Microsoft Copilot Studio, Copilot agents, agent updates, no-code agents, enterprise AI tools, Microsoft Build Conference, Google Drive sync, NotebookLM, Google Workspace, Gemini models, custom GPTs, multistep workflows, connected business tools, agentic skills, reasoning benchmarks, practical knowledge work, model effort control, parallel subagents, Copilot UI update, WorkIQ, progressive disclosure, context protocols, model thinking levels, automation scenarios, UI automation, credentials management, generative AI, Eleven Labs Dubbing v2, text-to-speech, multilingual dubbing, emotion preservation AI, content localization, video dubbing, audio to audio model, global business AI, agent orchestration, API credit usage, MCC protocol, AI cost efficiency, token usage, AI research, model selection, AI deployment, model capability comparison, model speed, fast mode, adaptive thinking, AI hallucinations, enterprise automation, agent builder, AI-powered workflow, model intelligence index, Copilot design, new Copilot features, productivity AI, software automation, web automation

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This is the Everyday AI episode we probably shoulda done a while ago.... ?

Because as different as ChatGPT, Gemini, Claude and others actually are under the hood, they have really started to copycat each other over the past 6 months. 

Which means we finally have a set of concrete best practices to get the best outputs from any LLM. 

Join us as we boil thousands of hours of experience into a 30-ish minute crash course that you can't afford to skip out on. 

2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot -- An Everyday AI Chat with Jordan Wilson (Start Here Series Vol 26)

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Topics Covered in This Episode:

LLM Landscape: Cookie Cutter Model Trends10 Essential Steps for AI ChatbotsChoosing the Right AI Operating SystemSelecting Optimal AI Chatbot SurfacesImportance of Paid AI Chatbot PlansUnderstanding LLM Context Window LayersContext Engineering and Prompt Best PracticesIntegrating Files, Apps, and Company DataAI Chatbot Privacy, Permissions, GovernanceTransparency, Observability, and Reasoning ArtifactsVerification, Iteration, and Workflow Automation

Timestamps:

00:00 Keeping up with AI changes

03:55 Introduction to AI chatbots essentials

09:05 Rapid innovation in AI models

13:01 Understanding early AI models

14:37 Choosing an AI operating system

17:08 Discussing desktop app benefits

21:14 Understanding the context layer

23:55 Challenges without web search integration

28:55 Advancements in CRM connectors

32:35 Challenges with AI governance

35:13 Importance of observability in workflows

37:36 Developing universal AI skills

Keywords: 

large language model, LLM, AI chatbot, AI operating system, ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, open models, cheat code for LLM, AI best practices, prompt engineering, context engineering, context window, context layer, reasoning models, generative AI, deterministic vs generative, web search in AI, model selection, paid AI model, free AI model risks, AI surface, desktop AI app, agentic capabilities, AI connectors, app integrations, business data privacy, permissions and governance, shadow IT, enterprise AI, observability, transparency, reasoning artifacts, workflow automation, verification loop, iteration in AI outputs, skill creation, plugin, automated workflow, agentic orchestration, company data security, expert driven loop, AI scheduling, context carry, modular AI, AI-powered work automation, personalized context, role-based access control, SaaS application integration, economic value of AI, knowledge work automation, prime prompt polish, refine queue, five five five framework, human-in-the-loop AI, knowledge cutoff, model versioning.

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You?ll need a map, compass and legend to understand all the new AI Google announced at its I/O conference last week. 

(They literally wrote a blog post called, "100 things we announced at I/O 2026? and most of them were AI based.) 

Luckily for you, we spend hours each day going through the latest in AI to cut the fluff from the real. So on today?s ?AI Working Wednesdays? series, we break down 3 of Google?s biggest AI updates you can use today: Google Omni, Gemini 3.5 Flash and Antigravity 2.0. 

What?s new and how do they work? We?ll show you the ins and outs live. 

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Topics Covered in This Episode:

Gemini 3.5 Flash Model Hands-On DemoGemini 3.5 Flash Pricing and Token UsageBenchmarks: Gemini 3.5 Flash vs. 3.1 ProIntelligence vs. Cost in Gemini 3.5 FlashGemini 3.5 Flash for API and DevelopersGoogle Gemini Omni Flash Video Model ReviewOmni Anything-to-Anything Multimodal FeaturesGoogle Omni vs. Video Model CompetitorsAnti Gravity 2.0 Agent Desktop App OverviewAnti Gravity 2.0 Pros, Cons, and Use CasesUsage Limits in Google Gemini and Anti GravityChain of Thought Transparency in Gemini ModelsCanvas Mode Interactive Web App Demonstrations

Timestamps:

00:00 Key AI updates from Google IO

04:58 New Google AI updates discussed

08:57 Google's anti gravity desktop use

10:01 Touring Google's Anti Gravity App

14:40 Testing a new AI prompt

18:06 Critiquing vibe coding aesthetics

21:28 Discussing Google's Gemini 3.1 Pro Model

24:40 Comparing AI model performances and costs

29:13 Google's advancements in video AI

30:13 Future of Google's AI Technology

33:58 Exploring Google Gemini features

36:51 Google Gemini chain of thought feature

42:02 Google Gemini's new model features

44:23 River crossing puzzle gameplay

48:25 Discussing Google Gemini 3.5 flash drawbacks

51:10 Feedback on an AI release

Keywords: 

Gemini 3.5 Flash, Google Gemini, AI updates, Google I/O 2026, Gemini Omni, Gemini Omni Flash, anti gravity 2.0, AI video model, hands-on AI demo, agentic coding, desktop AI app, benchmarking, AI model comparison, Gemini Spark, Gemini Pro 3.5, Gemini 3.1 Pro, token usage, API users, Google Workspace, always-on agent, AI cost efficiency, intelligent agents, world model, multimodal AI, generative video creation, video editing, scheduled tasks, Google Daily Brief, model usage limits, thinking steps, chain of thought, artificial analysis intelligence index, token inefficiency, cost to run AI, OpenAI GPT-5.5, Claude Sonnet, Claude Opus, open source AI models, AI-powered creativity, robotics, embodied AI, front-end AI tools, Canvas mode, conversational editing, interactive website builder, AI-powered app creation.

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The Pope said WHAT about AI? ?

While Pope Leo's address on AI caught recent headlines, that wasn't the only major AI news this week. 

? The OpenAI vs. Musk saga has closed. For now. 
? Google dropped more than 100 new AI features at its I/O conference. 
? Meta's dark AI cuts have started, and they're kinda hard to believe. 

Don't spend hours each day trying to see how the ever-changing AI scene will impact you. We do that for you each week with our AI News That Matters. 

Google?s big I/O releases, Pope?s warning on AI, Meta?s dark AI cuts and more -- An Everyday A I Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Google IO 2026 announcements roundup
2. Gemini 3.5 Flash benchmarks and Antigravity integration
3. Gemini Omni multimodal model debut
4. Gemini Spark cloud personal agent and Ultra pricing changes
5. Antigravity 2.0 and Google's new AI search experience
6. OpenAI Codex App Shots, Goal Mode, and remote computer use
7. Elon Musk loses OpenAI lawsuit on statute of limitations
8. White House frontier AI executive order paused by Sacks call
9. Meta cuts 8,000 jobs and rolls out keystroke surveillance
10. Microsoft and EY $1 billion AI consulting partnership
11. Pope Leo's first encyclical Magnifica Humanitas on AI risks
12. Rapid fire AI news including Karpathy joining Anthropic

Timestamps:

00:00 Weekly AI news headlines preview

02:37 Google IO and Gemini 3.5 Flash unveiled

04:27 Gemini Omni multimodal model explained

06:25 Gemini Spark cloud agent rolls out in beta

07:54 Google Ultra plan cut to $200 plus new $100 tier

11:30 OpenAI Codex App Shots and Goal Mode

14:08 Codex remote computer use and plugin sharing

16:05 Elon Musk loses OpenAI lawsuit

20:28 White House AI executive order paused

26:17 Meta cuts 8,000 jobs amid surveillance backlash

31:35 Microsoft and EY launch AI consulting deal

34:22 Pope Leo's first AI encyclical released

38:47 Rapid fire AI news roundup

Keywords: 

Google IO, Gemini 3.5 Flash, Gemini Omni, Gemini Spark, Gemini Ultra, Antigravity 2.0, SynthID, OpenAI Codex, App Shots, Goal Mode, remote computer use, Claude Code, Claude Cowork, Claude Mythos, Elon Musk OpenAI lawsuit, David Sacks, White House AI executive order, Meta layoffs, employee surveillance, forward deployed engineers, Microsoft EY partnership, Pope Leo encyclical, Magnifica Humanitas, Andrej Karpathy, AI news weekly

 autonomy.

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Google dropped like 197 new AI features this week. ?

A lot happened in AI updates tis week, with Google leading the way. 

At its I/O conference, Google pumped dozens of new AI features into every corner of its ecosystem. 

Amazon is hoping to replicate NotebookLM's success to get Alexa+ off the ground. 

And OpenAI's may have quietly won the week with a handful of updates that continue to make Codex the most powerful AI tool around. 

Don't have hours each day to know which AI features are worth using? 

On Fridays, we break down the release noise and bring you the 7 Friday AI Features worth paying attention to. 

Google?s Gemini 3.5, Codex goes for Goals, Alexa going after NotebookLM and 7 More AI Updates You Should be Using Today - An Everyday AI Chat with Jordan Wilson.

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Topics Covered in This Episode:

Gemini 3.5 Flash Coding & Speed BenchmarksGemini 3.5 Flash in Google Search & AppsGemini 3.5 Pro Release Timeline & RumorsChatGPT PowerPoint Integration FeaturesChatGPT Contextual Slide Generation & ReviewGemini Omni Flash Multimodal Video EditingOmni Flash vs Seeddance Video AI ComparisonCursor Composer 2.5 Coding Model ReleaseComposer 2.5 vs Opus 4.7 Price & PerformanceAmazon Alexa Plus Podcast Generation FeatureAlexa vs NotebookLM Audio Overview ComparisonGoogle's Antigravity 2.0 Coding Platform LaunchGemini CLI Deprecation & Community ResponseOpenAI Codex Goal Mode in Desktop AppCodex App Shots & Remote Computer ControlCodex Shareable Plugins for Teams & Enterprise

Timestamps:

00:00 New AI updates overview

05:29 Discussing Gemini 3.5 Flash benchmarks

10:14 New ChatGPT features in PowerPoint

13:54 Using ChatGPT for presentations

15:56 Google's new multimodal video tool

18:49 Video editing advancements

22:35 Cursor's new coding model overview

25:15 Cost efficiency in tech products

28:31 Alexa Plus notebook feature

31:39 Amazon's AI audio feature debate

34:55 Google deprecating Gemini CLI

40:31 Benefits of using codecs

43:46 AI tools currently Mac-exclusive

44:50 Remote computer use and sharing skills

Keywords: 

Gemini 3.5, Gemini 3.5 Flash, Google Gemini, AI features, AI updates, Agentic benchmarks, Coding capabilities, Multimodal understanding, Google IO, Gemini app, AI mode in search, Vertex AI, Google AI Studio, Frontier models, Gemini 3.5 Pro, MCP Atlas, Terminal Bench, Opus 4.7, GPT 5.5, ChatGPT integration, PowerPoint AI, ChatGPT add-in, Reasoning model, Context engineering, Editable PowerPoint slides, AI-powered presentations, AI critique storytelling, Connected services, ChatGPT Business, AI slide generation, Microsoft PowerPoint, Codex, Codex goal mode, OpenAI Codex, App shots, Remote computer use, Goal mode, Cursor Composer 2.5, Cursor IDE, Moonshot AI, Kimi K25, Agentic IDE, Long horizon code edits, Opus pricing, AI harness, Anthropic Claude, Anti Gravity 2.0, Gemini CLI, AGY, Command Line Interface, Desktop AI apps, Alexa Plus, Amazon AI podcast, AI audio episodes, NotebookLM, Audio overviews, AI hosts, AI for developers, Batch agentic workloads, Enterprise AI features, Shareable plugins, Plugin sharing, AI for knowledge workers, Video input video output, Gemini Omni Flash, DeepMind, SeedDance 2, YouTube Shorts, Video editing AI, Conversational editing, Synthetic training data, Token spending, AI desktop workflow, Rate limits, Harness benchmarking, Mac AI tools, Windows AI support, Enterprise AI tools, Plugin distribution, Team AI apps, Real world knowledge, Conversational autonomy.

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Want better AI results? 

The answer isn't to prompt better. 

(At least, not anymore.) 

As AI has changed drastically, so too must your company's strategy and implementation plan. 

Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide organizations from running like hamsters on the AI treadmill to actually redefining workflows toward agentic automation. 

How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An Everyday AI chat with Jordan Wilson and Section's Bobby Isaacson

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Topics Covered in This Episode:

AI Success Metrics in Modern OrganizationsShift from Prompting to Workflow AutomationAdopting Autonomous Agents in EnterprisesImportance of Context Engineering with AITop-Down Leadership for AI TransformationBuilding AI Manifestos vs. AI PoliciesTraining Challenges: Chatbots to Agents EraClosing Skill Gaps: Elite vs. General AI UsersOvercoming Change Management in AI AdoptionFostering Curiosity and Experimentation in AI Teams

Timestamps:

00:00 Defining AI success metrics

05:19 The shift to context engineering

08:16 Leadership setting AI adoption example

11:58 CEO commitment to AI integration

14:17 Setting clear AI goals

19:06 Discussing automation and its challenges

20:48 Enterprise AI usage challenges

26:00 Leveraging AI for learning

27:45 Closing and contact information

Keywords: 

AI workflow automation, autonomous agents, automating workflows, AI agents, enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI proficiency, AI training, leadership in AI adoption, change management, AI strategy, employee enablement, AI integration, top-down AI approach, organization-wide AI, business process automation, AI-powered briefs, sales automation with AI, agent-based automation, workflow optimization, context sharing, repeatable AI workflows, AI change management strategy, AI use cases, AI in finance, ROI calculator with AI, personalized AI training, skill gap in AI, scaling AI solutions, technology adoption, digital transformation, AI challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI enablement, AI policy vs manifesto, fostering innovation with AI, learning and development AI, AI champions, process innovation

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Every wish on your AI wish list? ????

It's already here in OpenAI's Codex. 

While the masses are months behind just now discovering Claude Cowork, there's a new wave taking over in Codex. 

Bad part? It has the word 'code' in the name, so most people assume they're not technical enough. 

Good news? If you can use ChatGPT, you can use Codex. (It's pretty much the same thing.) 

We already broke down the Codex basics in Part 1 of our AI at Work on Wednesday series, so we're doubling down on the Codex classroom in part 2. 

We'll tackle Skills, Plugins, Computer Use, Remote Control and more. 

But the big takeaway? Codex can probably already do most of the work you do in front of a computer. We'll show you how. 

OpenAI?s Codex For Beginners Pt 2: Advanced Agentic Strategies broken down for Newbies -- An Everyday AI Chat wit Jordan Wilson

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Topics Covered in This Episode:

OpenAI Codex Desktop Overview & BenefitsAdvanced Codex Agentic Strategies ExplainedCodex vs Claude vs Gemini: Feature BreakdownUnified Memory & Project Management in CodexCodex Plugins, Skills, and App IntegrationsScheduled Automation in OpenAI CodexComputer Use and Remote Desktop ControlChatGPT Mobile App as Codex ControllerAutomated Podcast Guest Research WorkflowReal-Time Chain-of-Thought & Task Management

Timestamps:

00:00 The holy grail of AI

04:15 Introducing everyday AI host Jordan Wilson

08:37 Automating tedious tasks with codex

11:46 Managing guest information tools

13:35 Setting up guest interviews

17:21 Monitoring AI with Codex

21:17 Demo of software's memory limitations

22:23 Why I use ChatGPT online

28:16 Explaining Gmail permissions

28:45 Understanding Gmail app permissions

33:55 Comparing Claude and Codex AI

35:45 Using computer use software issues

40:03 Using Chat GPT as a remote control

43:55 Organizing digital files and projects

47:51 Testing web browsing features

48:51 Balancing focus with busy schedule

51:55 Sharing experience with codecs app

Keywords: 

OpenAI Codex, Codex for beginners, AI agentic strategies, Codex desktop app, Advanced Codex features, Codex automations, Skills in Codex, Plugins in Codex, Computer use with Codex, Remote control AI, Scheduled automation, Plugin integration, Google Calendar automation, Gmail integration, Google Drive with AI, Spotify analytics automation, StreamYard integration, Google Slides AI, Canva presentations, Build with apps skill, Custom AI workflows, AI-powered research, GPT-5.5, Model comparison Claude vs Codex, Gemini desktop app, AI operating layer, Workflow automation, Project triage AI, Reading chain of thought, AI tasks scheduling, Multi-platform AI agents, ChatGPT desktop, Mobile app AI control, Unified AI platform, AI memory features, Deep research automation, Custom instructions AI, Recurring automations, Desktop productivity AI, Bidirectional plugin actions, Task templates, AI project folder structure, AI agent orchestration

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The most expensive AI mistake of 2026 won't show up on any invoice. ?

It'll show up two years from now when you can't get your data out, your competitors are eating your lunch, or your team is stuck maintaining software no one actually wanted to build.

Because in 2026, AI isn't one decision anymore.

It's four.

The model. The workflows. Your data. Your business software.

Each layer has its own build, buy, partner, or wait choice.

And most companies are making all four without realizing it.

Today on Everyday AI, we're breaking down the framework that puts those choices back in your hands.

Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25) An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Build vs. Buy vs. Partner vs. Wait in AIFour-Layer AI Stack Decision FrameworkEvolution of AI Agentic Workflows in 2026Buy vs. Build Decision ObsolescenceWhen to Build Proprietary AI SolutionsPrepackaged AI Workflows for Small BusinessesData Ownership and Integration StrategiesVendor Lock-In and Technical Debt RisksPartnering in Regulated or Critical WorkflowsWaiting for Stable AI CategoriesThree-Week AI Adoption BlueprintCapability Gap and ROI in AI Investments

Timestamps:

00:00 Buy vs. build AI question

04:19 Start here podcast series intro

09:52 AI companies offering consulting services

11:27 AI skills and vertical integration

14:19 Evaluating AI adoption strategies

18:53 Building proprietary processes

20:28 Streamlining organizational workflows

23:48 Importance of strategic partnerships

27:34 Deciding on software investments

32:26 Evaluating tech capabilities and gaps

35:59 Implementing AI Workflows Step-by-Step

38:09 Accessing the start here series

Keywords: 

build vs buy AI, build or buy AI, build, buy, partner or wait, AI stack decision framework, four layer AI stack, AI implementation strategy, AI decision making, technical debt, vendor lock-in, agentic AI, AI agents, AI workflows, enterprise AI adoption, prepackaged agentic workflows, Microsoft Copilot, Google Gemini, OpenAI, Anthropic, domain assistants, specialized agents, model context protocol, large language models, custom AI solutions, proprietary data, workflow automation, data integration, business software AI integration, regulated workflows, audit heavy workflows, AI-powered business software, SAP autonomous enterprise, Codex, model portability, AI category stability, AI talent, agentic engineering, proprietary processes, competitive advantage, ownership map, workflow differentiation, capability gap, learning curve, risk management, OpenClaw, open source AI, modular AI skills, training gap, internal context, audit and score, governance, operational risk, partnership with AI vendors, regulated industries AI, SMB AI adoption, AI-driven business transformation, ROI, rate of innovation

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The calm before the AI storm? ??

You bet. 

Although we had a bevy of new AI releases, fresh drama and a HUGE IPO from an AI company, this week's biggest AI news is about what's around the corner: 

- An upcoming decision in the Musk vs. OpenAI lawsuit 
- How the big Cerebras IPO will impact the other AI giants
- Google's I/O conference Tuesday, which will likely set off a firestorm of updates. 

The hot AI summer is around the corner, so we'll get you caught up and prepared for what's coming next. 

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

OpenAI Codex Remote Control Feature LaunchCerebras AI IPO Debut & Market ImpactGoogle Book Laptops with Gemini IntelligenceAnthropic Programmatic Usage Policy BacklashUS-China Talks on AI Safety GuardrailsOpenAI Considers Legal Action Against AppleGoogle IO 2024: Gemini 3.2 and Spark LeaksAI Industry Partner Updates: AWS, PWC, Meta

Timestamps:

00:00 OpenAI adds remote control feature

03:46 Codex remote features for mobile

08:54 Cerebras IPO and tech market resurgence

12:41 Introducing the Google Book laptops

13:55 Google books hardware partners and AI competition

17:09 Changes to agent SDK credits

21:15 Developers react to pricing changes

25:25 US-China AI negotiations overview

28:04 Concerns about AI and security

34:03 Anticipating Google IO announcements

36:37 Gemini Omni leaks and speculations

40:07 Recent AI advancements and industry moves

42:50 Introducing Firefly AI Assistant

Keywords: 

AI IPO, Cerebras Systems, Cerebras IPO, AI chipmaker, $95 billion market cap, wafer scale AI chips, OpenAI, Anthropic, Anthropic criticism, Claude subscriptions, programmatic API usage, Claude Dispatch, Claude CoWork, AI subscription limits, OpenClaw, autonomous AI agents, ChatGPT mobile app, Codex remote control, Gemini Intelligence, Google I/O, Google Book laptop, Android XR glasses, Gemini Spark, Gemini 3.2, Google AI assistant, multimodal AI models, persistent AI agent, Apple Intelligence, Siri integration, OpenAI vs Apple, class action lawsuit, ChatGPT paid subscription, Google-Microsoft-Amazon AI rivalry, AWS partnership, developer backlash, AI agent SDK, AI regulatory talks, US-China AI relations, model distillation, data center, AI cybersecurity, Daybreak, personal finance AI, Meta Muse Spark, Thinking Machines Lab, multimodal human collaboration, AI widget, custom widget creation, agent memory, cloud agent, real-time AI, verticalized AI, legal AI, finance AI, small business AI.

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