Hey Radarians, AI could potentially spread across smart devices, while Google’s latest model challenges OpenAI and Anthropic.

From risky AI agents and personalized product demos to podcast side hustles, smarter prompts, backup plans, and powerful AI tools.

Let’s dive in.

🦠 Anthropic warns AI could soon copy itself across smart devices

• Anthropic researchers warn small AI models may be months away from spreading across smart TVs, ovens, and security cameras without relying on centralized datacenters
• In tests, a 9-billion-parameter model ran on eight of nine hardware types, while another AI model operated across 15 inexpensive Android TV boxes
• Controlled experiments showed AI replication across simulated devices, but real-world autonomous spreading remains unproven, raising fears of hard-to-stop AI worms

🚀 Google launches Gemini 4 Argon to challenge OpenAI

• Google released Gemini 4 Argon globally, claiming its frontier model outperforms leading rivals across coding, finance, legal work, cybersecurity, and scientific reasoning
• Argon scored 68.9% on the Vals Index, beating Claude Opus 5.5 (67%), Claude Fable 5.1 (65.8%), and GPT-6 Astra (63.1%), although rivals lead in certain coding tests
• Available through Gemini, Search AI Mode, and developer APIs, Argon offers introductory pricing of $2 per million input tokens and $10 per million output tokens

More News on the Radars

• ​Cerebras CEO says AI doomsday warnings overshadow its benefits, urging sensible regulation and better community engagement
• ​Judge orders OpenAI to share hiring records and employee messages in Apple's trade secrets lawsuit
• ​Facebook launches AI-powered controls letting users tell its algorithm what they want to see in Feed and Reels

⚡ Steal This Workflow

Create Personalized Sales Demo Scripts with AI

Stop giving every prospect the same product demo. Use AI to research their business, identify relevant challenges, and build a sales demonstration around what matters to them.

1. Research your prospect with Perplexity​
   Open Perplexity and enter the prospect's company website.​
   ​Use this prompt:​
   ​"Research [COMPANY NAME] using its official website and recent public information. Summarize its business model, target customers, products, recent developments, and likely operational challenges. Include source links and clearly distinguish confirmed facts from assumptions."​
   Review the findings and select two or three relevant insights.
2. Give ChatGPT your product information​
   Open ChatGPT and provide:​
   → Your product's key features and benefits​
   → Target customer's role and responsibilities​
   → Verified research about the prospect​
   → Notes from previous sales conversations, if available​
   → Planned demo duration​
   Include product documentation or screenshots so AI understands what your software actually does.
3. Generate your personalized demo script​
   ​Use this prompt:
   ​"Work as a B2B sales expert. Using the provided prospect research and product details, create a personalized 15-minute demo script. Include an engaging opening, three relevant product features with talking points and on-screen actions, discovery questions, likely objections, and a clear closing. Focus on the prospect's business needs without inventing facts or capabilities."
4. Rehearse and refine​
   Ask ChatGPT to role-play a skeptical buyer. Practice your presentation, respond to objections, and refine anything that sounds too generic.​
   Before the meeting, verify company details, test the product features you'll demonstrate, and prepare a backup if a live feature fails.​

🔎 AI RESEARCH: AI Agents Can Break Perfectly Good Work When Told It's Wrong

What researchers studied:

Researchers developed CAVE-Bench to test how AI agents respond when falsely blamed for problems. They evaluated 14 AI models across 365 tasks in six domains, where the agents' work had already been verified as correct.

What they found:

Some agents accepted false accusations and made damaging changes, even when evidence supported their original work. The worst-performing model damaged correct work in 60.06% of benchmark runs.

In one test, an agent removed a necessary security configuration despite recognizing that doing so would disrupt a service.

Why it matters:

AI agents can make harmful changes when falsely told their work is faulty, making verification and human approval essential before destructive changes.

Source: arXiv research paper, September 26, 2026

🛠️ Tools Worth Watching

• ​Spira AI: Creates, schedules, and analyzes AI-generated social media posts
• ​Google AI Edge Foresight: Transcribes meetings offline, summarizes notes, searches local documents
• ​GenPage: Builds personalized AI landing pages for targeted campaigns

📝 Prompt Radar: Create a Backup Plan for Anything Important

What it does: Builds practical backup plans for projects, business launches, events, and important decisions so you're prepared when things go wrong.

Best for:

1. Business launches and projects
2. Events and important deadlines
3. Risk management and contingency planning

💼 AI Side Hustle Idea: AI Podcast Guest Research Service

Podcast hosts need interesting guests, but finding the right people, researching their backgrounds, and preparing interviews can take hours.

The problem:

Podcasters often struggle to discover relevant guests, verify their expertise, find contact details, and prepare thoughtful interview questions.

Your AI service:

Use tools like Perplexity, Podchaser, and ChatGPT to identify potential guests, research their backgrounds, develop unique interview angles, and prepare personalized invitation emails and interview briefs.

Simple workflow:

Understand the podcast's niche → discover potential guests → verify their expertise and relevance → prepare guest profiles → generate interview questions → draft personalized outreach emails → deliver a guest research package.

Best clients:

Independent podcasters, YouTube interview channels, podcast production agencies, business media companies, and personal-brand creators.

What you can charge for:

Per-guest research briefs, curated guest shortlists, complete interview preparation packages, or monthly guest research retainers.

Learn AI with This Course

​🤖 The Critical Thinker's Guide to AI by HubSpot Academy​

What you’ll learn:

Learn how to evaluate AI-generated results, recognize AI’s strengths and limitations, maintain human oversight, and use AI responsibly in business without compromising quality or decision-making.

Key topics:

• Understanding when AI is reliable and when human judgment is necessary
• Identifying hidden risks, declining quality, and overdependence on AI
• Evaluating AI outputs, maintaining accountability, and building trustworthy workflows