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Ep 700: Celebrating Everyday AI's 700th Episode

Anthropic CEO Issues Urgent Warning on Near-Term AI Risks, Pinterest Lays Off 15% as It Shifts Resources to AI Teams, Claude Adds Interactive Work Apps and More

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Everyday AI
January 27, 2026

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Sup y’all! 👋

Anthropic just dropped a pretty big update with their interactive apps, similar to ChatGPT.

(Not to sound like a broken record, but this is another step toward the AIOS we’re always talking about.)

You interested in this? Should we do an AI Working Wednesday on it?

Do you want an in-depth rundown on Anthropic Claude's new Interactive Apps?

🗳️ VOTE to see live results 🗳️

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Jordan

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Today marks a big milestone as Everyday AI hits episode 700, so we’re breaking down what’s actually changed, what’s working right now, and what matters most in 2026. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Claude’s Free Tier Can Now Create and Edit Files, Gemini Web Adds Quick Model Switching, Clawdbot Rebrands to Moltbot After Anthropic Name Dispute and More Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Anthropic CEO Issues Urgent Warning on Near-Term AI Risks, Pinterest Lays Off 15% as It Shifts Resources to AI Teams, Claude Adds Interactive Work Apps and More Read on for Byte Sized News.

💪 Leverage AI: AI adoption has officially entered a new phase. Episode 700 breaks down the biggest shifts reshaping work, the workflows delivering measurable ROI, and the skills no professional can afford to ignore in 2026. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Nvidia Buys $2B of CoreWeave Stock, OpenAI Tests In-Chat Shopping Carts Inside ChatGPT, Microsoft Announces Maia 200 AI Chip and More Check it here!

Ep 700: Celebrating Everyday AI's 700th Episode

Ever wish you could get an AI cheat sheet?

Like.... wrap up hundreds of hours of AI insights into a neat lil package spoon fed to ya live?

Oh wait! Here it is.

  • 7 Ways AI Is Reshaping How We Work

  • 10 AI Workflows That Actually Deliver ROI

  • 10 AI Skills Every Professional Needs in 2026

Needless to say, you don't wanna miss this one.



Also on the pod today:

• AI flattening middle management 📉
• Meetings become company data gold 🏆
• Content repurposing on autopilot 🔁


It’ll be worth your 55 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Timeless is the first platform where your conversations build your agents, GameCut Turns raw game footage into Viral Highlights, The Password App Updates your old passwords automatically

Luma AI Ray3.14 Update — Luma’s Ray3.14 cuts cost and time while delivering stable 1080p video.

Clawdbot Rebrand — Clawd rebranded to Moltbot after Anthropic forced a name change. Want to know what that means for the bot?

Gemini Quick Model Swap — Quick model swaps in Gemini Web: type @fast, @thinking, or @pro. Want to learn more?

Claude Update — Claude's free tier can now create and edit files. Compaction keeps long chats coherent, so it actually finishes complex jobs.

OpenAI “Screwed Up” Writing — OpenAI says GPT-5.2 nailed coding but "screwed up" writing. Want to know what changed and why it matters?

Nvidia Earth-2 — Nvidia’s Earth-2 claims faster, more accurate AI weather forecasts than Google’s GenCast. Want to see how?

AI Quotes in Court — A top Australian lawyer filed AI-made fake quotes and fake cases in a murder trial, sparking a court rebuke. Want the fallout?

AI Powered Short Film — Fine-tuned video-to-video tools kept animators' hand-crafted style and motion. See the painterly 4K short at Sundance.

Clawdbot Security Concerns — Clawdbot can run your apps via chat, but handing it full control of your computer is risky. Curious enough to try?

Anthropic X UK Government — UK pilots a Claude-powered GOV.UK assistant to give personalized, privacy-controlled job and skills help. Learn how it could speed up services.

1. Anthropic CEO sounds an urgent alarm about near-term AI risks 🚨

Anthropic CEO Dario Amodei warned this week that superhuman AI could pose civilization-level threats within a few years, urging immediate, candid action from governments, companies and wealthy backers.

He argues progress may deliver machines far smarter than humans across many fields, creating risks from massive job disruption to biological attacks, empowered authoritarian states and dangerous concentration of power inside AI firms. Amodei frames this moment as a decisive test of whether social and political systems can manage unprecedented capabilities, calling for rapid policy, transparency and resources to avert catastrophe.

2. Pinterest to cut staff as it shifts into AI-first mode ✂️

The move, which the company says will cost $35 million to $45 million in pre-tax restructuring charges, comes as Pinterest doubles down on AI-driven shopping and ad tools to fend off competition from TikTok and Meta. Management frames this as prioritizing product innovation and personalization for its 600 million users, even as some experts warn companies sometimes cite AI to justify broader cost cuts.

3. Claude embeds interactive work apps inside chats 🖥️

Starting Today, Claude now surfaces interactive versions of connected apps like Asana, Figma, Slack, and more directly inside conversations, letting users view and manipulate projects, messages, and visuals without leaving the chat.

This change makes Claude not just an assistant that acts for you but a workspace where tools appear inline so teammates can collaborate and see live updates together. Built on the open Model Context Protocol and a new MCP Apps extension, the move opens a standard path for any toolmaker to deliver interactive UI inside AI products, expanding how AI integrates with daily workflows.

4. X and Grok let users create nonconsensual digital nudity, report says 💻

A new report reveals that despite platform safeguards, X and Grok users can still generate realistic, nonconsensual nude images of people using AI tools, raising urgent safety and privacy concerns.

According to the article, attackers exploit gaps in moderation and workaround prompts to produce and share these images, putting targets at risk of harassment and reputational harm. The timing is critical as AI image tools and social platforms scale rapidly without matching enforcement, creating a mismatch between capability and protection.

5. Apple weighed Anthropic and OpenAI before choosing Google ⚖️

According to Bloomberg via Seeking Alpha, Apple held talks with Anthropic and OpenAI while shopping for a new AI partner to power the next-generation Siri, but Anthropic asked for “several billion dollars annually” and OpenAI was passed over as a competitive conflict.

Apple ultimately struck a multibillion-dollar deal with Google to base its Foundation Models on Google’s Gemini and cloud tech, keeping Apple Intelligence running on-device and in Apple’s Private Cloud Compute.

6. Yahoo debuts Scout, a new AI answer engine 🔍

Yahoo today launched Scout in beta across desktop and mobile, marking a major push into AI-powered search that uses Anthropic’s Claude plus Microsoft Bing grounding and Yahoo’s own decades of user data.

The product offers colorful, answer-focused results with inline citations and links meant to drive traffic back to publishers while testing ad placements on a small percentage of queries. Yahoo also unveiled the Scout Intelligence Platform to add generative features across Mail, News, Finance and Sports, aiming to keep the service free and advertiser-supported.

7. Kimi launches K2.5 with agent swarms and stronger vision-coding chops 🧑‍💻

Kimi today released Kimi K2.5, a major open-source model update that boosts multimodal coding and vision abilities while adding a new self-directed "agent swarm" mode that can spawn up to 100 sub-agents to run parallel workflows.

The timely announcement matters because K2.5 promises faster execution on complex tasks by splitting work across many sub-agents, cutting end-to-end runtime by as much as 4.5x compared with single-agent setups and scaling to thousands of coordinated tool calls. K2.5 also brings improved front-end coding from visual inputs and tighter office-productivity features, and will be available across Kimi.com, the Kimi App, API, and Kimi Code.

If you're staring AI implementation in the face with a lot of questions, this one's for you.

Episode 700 is a milestone dump of everything that actually matters right now. Seven ways AI is fundamentally changing work, 10 workflows delivering real ROI today, and 10 skills you can't afford to ignore heading into 2026.

No fluff. No 700 random stats. Just the playbook for what's working and what's coming.

7 ways AI is reshaping work 🔄

1. Work is AI first now 💻

A recent study showed 78% of professionals bring their preferred AI tools to work regardless of company policy. If you're a decision maker who hasn't flipped that switch, your employees already did it for you.

2. Middle management is getting flattened 📉

Gartner predicted that by this year, 20% of organizations would use AI to eliminate half of middle management roles. US employers are already advertising 42% fewer middle management positions than 2024.

3. Implementation is an operations problem 🔧

Companies obsess over choosing the right AI tool when 80% of their value comes from redesigning how they work. The adoption gap between AI-native companies and everyone else is becoming a canyon.

4. Permission bottlenecks are slowing agents ⚠️

AI agents are outnumbering humans in enterprise environments with exponentially more permissions required. The only thing stopping five to 10x agent deployment is the bureaucratic roadblock of approval processes.

5. Meetings are becoming data gold mines 🎙️

The AI meeting transcription market is projected to hit $30 billion by 2034, nearly 10x today's size. Your company's first-party reasoning and decision-making processes are the real long-term advantage over competitors.

6. Answer engines are replacing browsing 🔍

The smartest AI-native professionals are spending 90% of their time inside large language models and only 10% on the traditional internet. Every major AI tool now brings your dynamic data to you so you don't have to move.

7. Context engineering killed prompt engineering ⚙️

Thinking models now handle the basics of what 2022's prompt engineering techniques did. Gartner is telling leaders that context engineering, not prompting, is how teams get reliable results at scale.

10 AI workflows that deliver ROI 💰

1. Meeting discussion to tasks ✅

For every dollar companies invest in properly enabled Gen AI workflows, they get $3.70 in return. Automated meeting-to-task pipelines eliminate the archaic back and forth of manual follow-up emails.

2. Inbox triage 📧

Microsoft 365 Copilot users save an average of 30 minutes per week just on emails. Having AI automatically surface your 10 most important emails with suggested replies transforms inbox anxiety into three minutes of focused action.

3. Sales call to tailored follow-up 📞

Creating GPTs or projects that automatically process transcripts for objection handling is a massive time saver. Dump a transcript in, get priorities, follow-ups, and personalized next steps out.

4. RFP first drafts grounded in your docs 📝

RFPs used to be insanely time-consuming because so much had to be personalized across different requirements. Large language models excel at using your company's knowledge in a modular fashion.

5. Research brief to executive memo 📊

Deep research tools in Gemini, Claude, and OpenAI can run on just your connected data, not the whole internet. If you have quarterly presentations pulling from multiple teams, this is a ridiculous time saver.

6. Customer support agent assist 🎧

Danfoss automated 80% of transactional decisions with AI, taking response time from 42 minutes to near real-time. AI is honestly just faster at searching knowledge bases and customizing answers right now.

7. Finance variance explanations 💵

Executive teams increasingly want the narrative layer, not raw tables, and AI accelerates that first draft significantly. Organizations report 50 to 70% reduction in data preparation efforts with AI-assisted platforms.

8. Policy and compliance Q&A 📋

Forcing answers to stay inside approved documents only directly reduces hallucination risk. Tools like Claude projects, ChatGPT projects, or Notebook LM are perfect for this use case.

9. Content repurposing 🔁

With models like GPT image 1.5 and Gemini Nano 2.5, you can make a hundred videos, websites, or animations from one podcast without really doing anything. You can't even measure the ROI because the capabilities are kind of endless.

10. Scheduled personalized research 📅

ChatGPT tasks running daily can deliver personalized research reports that never look at yesterday's information. If you have to constantly stay ahead of industry movements or competitors, this is non-negotiable.

10 AI skills every professional needs 🧠

1. Change leadership 🔄

Old winning playbooks are expiring quickly, and the companies with the biggest wins have already thrown away what worked before. You can't keep doing what you did ten years ago and expect it to pay off.

2. Not trusting AI blindly 🔍

Gartner predicts 50% of organizations will require AI-free skills assessments due to critical thinking atrophy. The more you hand things off blindly without verification, the faster your human abilities erode.

3. Multi-model fluency 🎯

If someone tells you definitively which model is "the best," they probably don't know what they're talking about. There's no one model that's best at everything, and the pros understand when to use which.

4. Process thinking 🛠️

Obsessing over shiny AI tools creates duct tape that actually takes away from your ROI. The boring, unsexy workflow redesigns are where the biggest returns hide.

5. Context engineering 📦

Hallucinations are becoming less of a concern because one-click mini-RAG in projects makes it so easy to bring your company's context. Give the model the right information, then use the right model and mode.

6. Writing crisp inputs ✍️

Even the best context engineering fails with half-hearted inputs. The single word "just" has seven different tokenized meanings, so surrounding context in your words matters enormously.

7. Continuous learning and adaptability 🏃

You used to master one skill set and ride it for 20 years. That's dead because whatever you dig deep on, you'll find AI is already at the bottom doing it better.

8. Automation basics including scheduled tasks ⏰

Shifting from "I use AI when I remember" to "AI runs constantly with my updated data" is the mindset change that separates amateurs from professionals. Scheduled tasks are essentially agents working while you sleep.

9. Human-AI collaboration 🤝

Treat AI like a junior teammate trying to outwork you and take your next promotion, because that's what's happening. Human-AI collaborative teams show 60% greater productivity than human-only teams.

10. Communication that drives decisions 💬

Stop leaving gold at the bottom of your chats when you're done. The shift from just using tokens to creating value means every conversation should end with clear next steps and actionable outputs.

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