The next 12 months of AI leaked. 

Kinda. 

For the past 90ish days, we've been quietly collecting evidence of what's next.

1,030 saved posts. 90 Podcasts. Countless conversations. Every model drop, every leak, every quiet product update the big labs hoped you'd scroll past.

Then we connected the dots.

What came out the other side: 19 calls on where AI goes over the next 12 months. And some of them are uncomfortable.

We're walking through all 19. 

Bring your team's AI roadmap. You'll want to edit it. 👇

The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Reactive Chat Dies, Proactive AI Agents Rise
2. Voice and Mobile Become AI Default Interface
3. Manager Threads Replace One-Off AI Chats
4. Multiplayer AI: Humans and Agents Collaborate
5. Company-Wide Vibe Operations with ChatGPT Sites
6. Agent Native Workflows and Resources Standardization
7. Skill Reuse as Key Company Metric
8. Company Reasoning Data as Strategic Gold
9. Shift from Public Leaderboards to Private Evals
10. Model Routing Becomes AI Industry Norm
11. Cheaper AI Intelligence, Anthropic Competition Heats
12. Fortune 100 AI Token Spend Efficiency
13. Compute Power as New AI Currency
14. Localized AI Controversies and Election Deepfakes
15. Mainstream AI Backlash and Content Detection
16. Math Benchmarks Solved by Advanced AI
17. Token Maxing Returns with Cost Decline
18. Open Agents Crash Risks and Cybersecurity
19. Recursive Self Improvement (RSI) in AI Development

Timestamps:

00:00 Starting the AI 101 series

03:35 Yearly AI predictions roundup

07:54 Using full duplex AI assistants

09:45 Talking vs. Typing to AI

13:45 Breaking down AI silos

19:03 Turning processes agent-native

22:32 Skill development and reuse in AI

24:09 Bringing Slack DMs into Channels

29:46 Dealing with AI usage limits

30:45 AI startups revolutionizing knowledge work

35:46 AI strategy in Fortune 500 companies

40:11 AI impact on local politics

41:58 Concerns Over AI Watermarking

46:52 Experiencing token budget challenges

51:05 Sergey Brin prioritizes RSI at Google

52:06 Discussing AI model improvements

55:24 Closing and subscription reminder

Keywords: 

AI predictions, AI trends, business AI strategy, proactive AI agents, reactive chat, AI operating systems, ChatGPT, Claude, Grokbot, voice and mobile AI control, full duplex agent, AI skills, skill reuse, manager threads, multiplayer AI, agent native, company reasoning data, private AI benchmarks, public leaderboards, private evals, model routing, AI token spend, open source models, compute scarcity, hardware scarcity, AI controversies, local AI data centers, AI deepfakes, AI backlash, AI content detectors, AI in politics, math solved by AI, token maxing, cyber defense, open agents, cybersecurity budget, recursive self improvement, RSI, Fortune 100 AI usage, AI workforce transformation, dashboard automation, AI for dashboards, no-code AI apps, business intelligence AI, automation skills, agent crashes, model overhang, vendor lock in, AI-powered cyberattacks, AI-driven skill creation, AI-enabled workflows, token efficiency, AI local hosting, cost-effective AI models, enterprise AI adoption, AI asset management, company AI metrics.

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Scheduled tasks are a secret weapon. ⚔️

How secret? 

They can actually be hard to find and there's not a lot of info out there on how to use them. lolz. 

But for many, they can be the stepping stone to the fully autonomous desktop worker. Because for many users who may only be able (or comfortable) to access AI on the web, scheduled tasks provide that proactive, work-done-for-you vibe that AI agents delivered. 

But how does it work in Gemini, ChatGPT and Claude? 

And what's worth scheduling and automating? 

We put AI to work on this Wednesday and find out. 

Scheduling AI: how to easily make AI work for you in Claude, Gemini and ChatGPT -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Introduction to Scheduling Tasks in AI
2. Google Gemini Scheduled Actions Overview
3. ChatGPT Scheduled Tasks Features & Hacks
4. ChatGPT Work Mode and Virtual Browser
5. Claude Scheduled Tasks vs. Routines Comparison
6. Using API Triggers with Claude Code Routines
7. Real-World AI Dashboard Scheduling Test
8. Detailed Results: Gemini vs. Claude vs. ChatGPT
9. Key Takeaways for Best Automated Scheduling
10. Practical Use Cases for Scheduling AI Tasks

Timestamps:

00:00 Using scheduled tasks effectively

06:00 Adopting AI for productivity

06:51 Discussing main AI platforms

12:45 Scheduling tasks with ChatGPT

14:38 Work mode and virtual browsing

17:58 Creating and Editing Scheduled Tasks

22:47 Using Claude's cloud routines

26:59 Creating interactive stock visuals

27:51 Tracking AI company stock trends

31:58 Reviewing AI stock tracking tool

35:35 Improving user interface and experience

39:23 ChatGPT's unique scheduling features

41:49 Using APIs in Claude routines

44:45 Dashboard automation and triage setup

Keywords: 

AI scheduling, scheduling AI, scheduled tasks, scheduled actions, proactive agentic workflow, agentic adoption, agent built workflow, Google Gemini, Gemini scheduled actions, Gemini connectors, Gemini canvas mode, ChatGPT scheduling, ChatGPT scheduled tasks, ChatGPT work mode, ChatGPT projects, ChatGPT memory, ChatGPT sites, agentic app actions, model selector, reasoning level, app automation, connectors and skills, OpenAI, Claude scheduling, Claude scheduled tasks, Claude routines, Claude code, Claude co work, Claude home, Claude API token, Zapier integration, trigger-based automation, custom dashboards, triage dashboard, interactive visual, stock price dashboard, news summarization, personalized automation, user interface changes, web interfaces, desktop agents, repetitive tasks automation, business process automation, workflow optimization, productivity AI tools, AI-powered research, CRM integration, KPI tracking

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If you’re reading the headlines, you’d think AI agents have gone rogue. 

Spoiler alert: they haven’t. 

They haven’t even gotten started. 

When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. 

But we don’t talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. 

Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. 

So why is this all happening now? And what should your business do about it? 

Tune in to find out. 

Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare - An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Rogue AI Agent Breakouts Overview
2. Lab Sandbox vs. Real-World Agent Crashes
3. Six Recent AI Agent Outbreak Incidents
4. OpenAI Model Hacking Hugging Face Explained
5. Anthropic Mythos Model Sandbox Escape
6. Controlled AI Agent Experiments and Failures
7. Open Source AI Agents Threat Timeline
8. Business Risk Preparation for Rogue AI Agents
9. Monday Morning AI Agent Safety Playbook

Timestamps:

00:00 Preparing for AI agent disruption

04:53 AI agent challenges comparison

10:17 Discussing AI Guardrails and Access

12:07 AI threats and security concerns

15:37 AI alignment challenges with ethics

19:04 Security vulnerabilities in AI models

21:32 Agent outbreak and hacking drills

25:04 OpenAI Hugging Face incident

30:49 AI agents and cybersecurity risks

33:30 Concerns about open AI models

35:23 Future AI security challenges

40:19 Managing agent access levels

42:06 Preparing for AI agent oversight

Keywords: 

rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploit

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AI agents crashing. 😱

New models dropping. 🆕

White House AI regulations? Kind of? 🤷

Another doozy of a week in AI News. If you missed anything, we'll get you caught up quickly so you can focus on what matters. 

AI Agent outbreaks intensify, OpenAI upgrades free AI use, White House unveils AI testing policy and more AI News That Matters

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Topics Covered in This Episode:

1. OpenAI and Anthropic AI Agent Outbreaks
2. UK AI Security Test Cyberattack Incident
3. OpenAI Astra Model Cybersecurity Risks
4. Google AI Leadership Shakeup and Impact
5. White House Frontier AI Model Testing Policy
6. Meta Muse Code Terminal AI Agent Launch
7. Meta Muse Spark 1.2 Coding Model Benchmarks
8. OpenAI GPT-5.6 Luna Free Unlimited Access
9. Major AI Model Price Reductions Announced
10. Anthropic, Meta, and Kimmy K3 Containment Events
11. ByteDance 10 Trillion Parameter Model Leak
12. Perplexity Wins Appellate Court Against Amazon
13. Adobe Creative Cloud ChatGPT Plugin Integration
14. Cloudflare Open Sources Internal AI Workspace

Timestamps:

00:00 AI security breach in the UK

05:48 Astra's cyber threat capabilities

09:30 OpenAI's upcoming model release

11:50 Google leadership changes impact stock

15:02 AI model review and restrictions

19:42 Meta's Muse Spark 1.2 capabilities

22:34 Meta's new market strategy

25:15 New GPT 5.6 Luna model released

30:59 AI alliances and transparency updates

32:58 Latest AI and tech updates

Keywords: 

AI agents, AI agent outbreaks, autonomous AI, agent containment, agentic AI, agentic coding, AI cybersecurity, AI cyber attacks, OpenAI, Anthropic, Meta, Google's Gemini, Google DeepMind, Jeff Dean, Demis Hassabis, Frontier AI models, AI safety, AI regulations, White House AI framework, national security AI, AI model benchmarking, Astra model, GPT-5.6 Sol, GPT-5.6 Luna, GPT-6, GPT-5.7, Project Glasswing, Fable model, Mythos 5, Opus 5, Kimmy K3, Muse Code, Muse Spark 1.2, command line AI agent, terminal-based AI, pricing strategy, contributor tier, open source AI, open weight models, executive order, cybersecurity risk, secure AI deployment, AI governance, Gemini Notebook, AI alliances, Adobe AI plugin, text-based AI chat, unlimited AI access, API pricing, AI infrastructure, Nvidia partnership, ByteDance AI, Mini Max H3, AI video model, perplexity, cloud code, AI workspace, agent plugins, Grok Imagine Image 2.0, EU AI Act transparency, insider risk investigator, TerraFAB project, SpaceX AI, Tesla AI, Microsoft Windows MAI models, industry shakeup, AI leadership changes, market competition AI, AI developer tools.

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Free AI users rejoice: there’s finally unlimited, free frontier AI. 🤯

(That doesn’t require like a $50k machine to run.) 

That’s because OpenAI just updated its GPT-5.6 model and with the update, it made GPT-5.6 Luna available to free users without limits. 

And that wasn't the only big win this week for free and cheap AI. 

From open weight models and an Open Agent Plugin standard to Meta's new pricing structure and coding harness, we saw a lot of new AI features this week. 

Here's the 7 you should be using today. 

Updated GPT-5.6, A new Cheap Meta Model, Qwen 3.8 released and impressive and 7 more AI updates you can use today

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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. GPT-5.6 Luna Free Unlimited Access
2. Meta Muse Code Contributor Pricing Explained
3. Alibaba Qwen 3.8 Max Model Release
4. Adobe Unified Plugin Updates for ChatGPT
5. Cloudflare OS Open Source AI Workspace
6. Open Agent Plugin Standard Launched
7. Minimax H3 Open Weights Video Model
8. Gemini Notebook Agentic Features Expanded
9. GPT-5.6 Soul Model Update & Comparison

Timestamps:

00:00 OpenAI unveils free GPT 5.6

04:06 Adobe integration with ChatGPT

08:05 Introducing MetaSpark's new features

12:31 Using Alibaba Cloud for APIs

14:00 27B Model for Large Enterprises

16:32 Introduction of Gemini notebook features

19:50 Discussing AI technology updates

24:46 Cloudflare OS open source release

27:37 Mini Max AI video model overview

30:44 Election impact and access issues

33:45 Anthropic's recent challenges

36:59 Closing and subscription reminder

Keywords: 

GPT-5.6, OpenAI, free AI plan, GPT-5.6 Luna, unlimited AI use, Meta Muse, Spark 1.2, Muse Code, contributor tier, Meta AI, terminal coding agent, coding agent, cheap AI model, Alibaba, Qwen 3.8 Max, open weights model, million token context window, text to video, open source AI, agent orchestration, agent plugins, plugin JSON standard, Gemini Notebook, Gemini 3.5 Pro, Google AI update, agentic notebook, code interpreter, artificial analysis rankings, MiniMax H3, open video model, AI video generator, text to video, image to video, multimodal context, Cloudflare OS, open source agent platform, AI workspace, API pricing, frontier models, token pricing, persistent background subagents, model fine-tuning, AI skill packages, Anthropic, Claude Opus, Claude Fable, AI desktop agent, SaaS alternatives, AI election risk

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"How do you use AI every day?" 🤔

One of the most common questions I get. And TBH, it's been hard to give a straight answer. 

Because by the time I've collected all the info, something changes. But over the last few months -- as work goes from the web to desktop -- my personal workflows have steadied and stayed consistent. 

So I'm taking you inside Everyday AI and the 9 AI tools and workflows I use the most. 

Hundreds of AI tools and modes a year. 

Thousands of hours. 

All boiled into one episode. 

Inside Everyday AI: My 9 most Used AI Tools and Workflows -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Codex AI Agent Workflow Overview
2. Top Nine AI Tools and Workflows
3. Third Shift AI Stats Automation
4. AI-Powered Communication Triage Agents
5. Custom ChatGPT Sites for Workflow
6. Parrot Dictation Local App Build
7. Episode Planning with Gemini and Codex
8. Frontend Design Using Claude, Stitch, GPT Image
9. Gemini Notebook Deep Research Use
10. Codex AI Skill Building and Automation
11. ChatGPT Voice Remote Desktop Control

Timestamps:

00:00 Everyday AI tools and workflows

05:54 Nontechnical AI user insights

07:46 Agent control and coworking insights

12:34 Automating daily metrics analysis

13:26 Analyzing Show Popularity and Trends

17:10 Using AI for email management

20:58 Design criteria for app features

25:16 Automating YouTube video summaries

28:29 Building Personal Project Apps

32:25 Interactive learning with Gemini notebook

33:14 Preparing for big shows

36:58 Experimenting with new technology

40:06 Using ChatGPT for productivity

43:05 Exploring AI Tools and Workflows

Keywords: 

AI tools, AI workflows, codex, ChatGPT, Claude, Gemini, desktop agents, agentic desktop, AI models, OpenAI, Anthropic, Cursor, computer use, browser control, Chrome extension, sub agents, goal mode, plan mode, Cloud Code, Cloud Code Work, benchmark stats, podcast downloads analytics, newsletter A/B testing, LinkedIn inbox automation, comms triage agent, skills automation, custom AI skills, plug-in creation, scheduled tasks, app design with AI, Claude Design, Google Stitch, GPT Image, front-end AI design, local dictation LLM, Parrot app, speech to text, YouTube transcription automation, CRM with ChatGPT sites, iMessage automation, teamwork sharing via AI, notebook study, Gemini Notebook, deep research, sentiment analysis, MCP server, Agent MD, AI-powered remote desktop, ChatGPT Voice, full duplex AI interaction, AI-powered productivity, knowledge work automation, AI project orchestration, AI-powered slide deck, automated reports, personalized apps with AI, AI-driven content planning, throwaway apps, AI-driven bullet point summaries, AI for business leaders, agent control, automated LinkedIn messaging, CastMagic, StreamYard integration, Canva automation

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Not only does NotebookLM have a new name, it's got a new game. 

Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. 

On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. 

Gemini Notebook: 7 New Updates and What They Unlock -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Gemini Notebook Rebrand from NotebookLM
2. Seven Major Gemini Notebook Feature Updates
3. Collections for Organizing AI Notebooks
4. Automatic Google Drive Sync Integration
5. Expanded Gemini Notebook Output Formats
6. Agentic Intelligence and Gemini 3.5 Upgrade
7. Secure Cloud Computing for Each Notebook
8. Grounded Data Responses and Web Research
9. Hands-On Demo: Real-World Enterprise Use Cases
10. Studio Outputs: Infographics, Mind Maps, Quizzes
11. Multi-Modal Asset Creation in Gemini Notebook
12. Key Differences: NotebookLM vs. Gemini Notebook

Timestamps:

00:00 Gemini notebook updates released

03:12 Gemini notebook new updates

08:14 Notebook LM's unique features

13:02 Using Gemini notebook prompts

14:48 Discussing Gemini notebook features

18:01 Enhanced Gemini notebook flexibility

23:02 Creating quizzes with Gemini notebook

26:30 Limitations of AI-generated responses

29:04 Gemini notebook's new capabilities

30:51 Episode wrap-up and subscription pitch

Keywords: 

Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.

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Intelligence too cheap to meter -- could that actually be coming? 🤑

Maybe, and you mighta missed one of the biggest signs. 

 OpenAI said that its own model improved itself after release so well, that it was cutting prices to one model by 80%. 

What's that mean? 

Well, by definition, it's a broad example of Recursive Self Improvement, or when a model starts building better versions of itself. 

And over the past 8 weeks, RSI has gone from a science fiction future to an actual, near-term reality. 

So what happened and what changed? And what does it mean for your company? 

We break it all down. 

RSI Explained: When AI Starts Improving Itself and What It Means -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. OpenAI's GPT-5.6 Soul Self-Improvement
2. Recursive Self-Improvement (RSI) Definition & Impact
3. Cutting AI Model Costs by 80%
4. Timeline Acceleration for RSI Adoption
5. Google and Anthropic's RSI Research Initiatives
6. AI Automation: Building and Training AI Models
7. Industry Call for Slowing Down AI Pace
8. Superintelligence, AGI, and the Singularity Discussion
9. Practical Implications of RSI for Businesses
10. Security and Oversight Concerns with Self-Improving AI

Timestamps:

00:00 AI self-improvement and price cuts

06:33 AI startup funding and regulation concerns

09:14 AI misconceptions and public disconnect

11:29 Advancements in AI self-improvement

16:16 Development of AI Models

21:07 Sam Altman on reaching singularity

23:04 Entering the AI singularity era

26:37 Advancements in AI models

30:43 China's advancements in AI models

34:24 AI self-improvement and containment issues

37:01 Planning for AI cost reduction

40:00 AI controlling other AIs with GBD 5.6

42:46 Closing and subscription reminder

Keywords: 

Recursive self improvement, RSI, AI self-improvement, AI improves itself, agentic AI, token efficiency, token maxing, OpenAI, GPT-5.6 Soul, Luna model, AI cost reduction, post-training, AI automation, automated AI researcher, Anthropic, Claude Code, Codex, Google DeepMind, AGI, Artificial General Intelligence, Superintelligence, Artificial Superintelligence, ASI, Singularity, Sam Altman, AI acceleration, AI research automation, Frontier Labs, Pacing the Frontier, AWS compute deal, capital expenditures, data centers, CapEx, model distillation, small language models, AI capabilities, AI benchmarks, model variants, model efficiency, AI safety, technology acceleration, AI containment, AI security, open source AI, AI deployment, technology disruption, modular AI systems, price reduction AI, AI industry, AI timeline, human oversight AI, AI risk management, AI regulation.

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OpenAI has a new model coming soon called Astra. 

Was it a leak? 

A reddit post? 

Some backdoor update? 

Nope, OpenAI made some crazy discoveries and math then told the world that their next model family Astra did the heavy lifting. 

(And you thought you could just click ‘Sol’ and your strategy was set for Q3?) 

Aside from news on what’s next from OpenAI, this week saw multiple new agent outbreaks, AI competitors banning together to pace AI, Amazon doing a 180 on its AI strategy and a lot more. 

Don’t get left behind. We’ll keep you ahead. 

OpenAI’s new Astra model, more AI agents escape sandboxes, AI leaders call for AI pacing and more. AI News That Matters for August 3 — An Everyday AI Chat with Jordan Wilson

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. OpenAI Agents Escape Sandboxes Incident
2. Anthropic Claude Models Security Breaches
3. AI Agents Breaking Cybersecurity Guardrails
4. OpenAI GPT-5.6 Price Cuts & Self-Optimization
5. Recursive Self-Improvement in AI Models
6. AI Leaders Urge AI Development Pacing
7. US, China, and International AI Governance
8. Amazon Nova AI Models Shutdown Strategy
9. OpenAI Astra Model Math Breakthrough
10. New AI Models: Fable, Astra, DeepSeek v4 Flash
11. Enterprise AI Agents and Cybersecurity Updates
12. Google Gemini Robotics, Music, and Agent Releases
13. Meta, Microsoft, and AWS AI Infrastructure Moves
14. OpenAI Free Frontier Tools for Researchers
15. Block's Buzz Open Source AI Workspace Launch

Timestamps:

00:00 OpenAI agent containment issues

04:27 Anthropic data breach explanation

07:28 Evaluating AI incidents and responses

10:14 OpenAI slashes GPT 5.6 prices

15:59 AI industry urges development pause

17:45 Concerns about AI self-improvement

22:36 Amazon shifts AI strategy

25:04 Amazon's AI efforts discussion

28:00 OpenAI's Astra and new math proofs

30:36 OpenAI's new four-tier system

36:14 Google's Lyria 3.5 and Block's Buzz

36:48 Latest AI developments overview

Keywords: 

Astra model, OpenAI, AI agents, agent escape, sandbox containment, autonomous AI, Hugging Face breach, Anthropic, Claude AI, cybersecurity testing, unauthorized access, model capabilities, recursive self-improvement, GPT-5.6, price cut, Luna model, Terra model, Sol model, input tokens, output tokens, AI infrastructure optimization, self-improving models, benchmarking, SONNET-5, large language models, artificial analysis index, codex, academic research, AI oversight, industry pause, AI governance, national security, China open-source models, Frontier Labs, Amazon Nova, AGI Lab, AWS, Peter DeSantis, Peter Abbeel, media coverage, Fable model, Haiku, Opus, DeepSeek, Kimi K3, Quinn 3.8, GLM 5.2, Google Gemini 3.5, Microsoft Copilot, cybersecurity vulnerabilities, distillation, model overhang, artificial intelligence development, international AI regulation, generative AI, model benchmarking, Sora video model, El Paso data center, MCP update, MAI Cyber One Flash, Project Perception, Lyria 3.5, music generation, Buzz open source, Block, Meta AI, Chrome Gemini integration, Gemini Spark, product summary algorithms, Rufus, enterprise AI, stateless core, model scaling, advanced math problems, sphere packing, federal policy, voluntary AI commitments.

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Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. 

And Google wasn't the only company updating their features behind the scenes. 

Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. 

We'll get you caught up quickly. 

Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Replit Design Suite Launches With Free Mobbin
2. ChatGPT Chrome Extension Adds YouTube Summarization
3. ChatGPT Side Chat Integrates Tabs and Highlighted Text
4. Meta AI Rolls Out Recurring Agent Tasks
5. Google Gemini Generates Images in Google Docs
6. Gemini AI Summarizes Comments, Edits in Docs
7. Google Gemini Spark Agent Arrives in Chrome
8. Chrome Agent Uses Saved Accounts and Passwords
9. Google Lyria 3.5 Music Model Released
10. Buzz by Block Unites Team and Agent Collaboration

Timestamps:

00:00 Recent AI updates and developments

05:01 Creating with Replit and AI models

09:42 Real-time research tracking benefits

10:34 Meta AI new recurring features

13:35 New features of Meta AI

17:53 Google Spark integrates with Chrome

22:09 Google DeepMind's new music model

25:25 Buzz from Block messaging tool

29:42 Building a collaborative platform

31:23 AI feature updates recap

Keywords: 

Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.

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