AI PlanetX
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Meta Unveils Ray Ban Audio Glasses

Meta Unveils Ray Ban Audio Glasses

Anthropic’s AI Makes Biology Find

Altiam Kabir
September 24, 2026

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Welcome to another edition of AI PlanetX.

Meta unveils camera-free Ray-Bans; Claude discovers an enzyme system; OpenAI agent hacks Medicare.

Inside This Edition: 💎

Hottest AI News
Top AI & SaaS Tools
AI Tutorial: AI Agent That Monitors Competitors
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: 16 Prompt Habits for Production
Featured AI Video

Hottest AI News

Meta Unveils Ray Ban Audio Glasses Without Cameras Amid Privacy Fears

Meta has launched camera-free Ray-Ban Meta Audio glasses as privacy pressure grows around wearable cameras. They keep AI, calls, music, podcasts and translation, but remove photo and video capture entirely at launch.

Details:

The glasses start at $349 and ship October 13. They come in Clubmaster and Burbank styles, weigh about 43g, support prescription lenses, and last up to 12 hours on one charge
They can play music and podcasts, handle calls, translate speech and connect to Meta’s Muse AI assistant. Meta says audio has been its most popular glasses feature since day one
Meta’s smart glasses sold over 7 million last year, but privacy concerns persist: the Audio pair records sound without a clear signal to bystanders, as lawsuits and venue bans also continue

The camera-free design cuts weight and boosts battery life, but analysts say audio recording still leaves consent concerns around privacy for users.

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Anthropic

Anthropic Says Claude Found A Previously Uncharacterized Enzyme System

Anthropic says Claude’s biology lab identified a previously uncharacterized enzyme system in bacteriophages with DNA repeats reminiscent of CRISPR. Most of the discovery work was done by Claude.

Details:

Claude searched over 200,000 reverse transcriptases in 21 hours with about 950 agents and 210M tokens, flagging 3,500 candidates before narrowing them to 20 for deeper analysis
One agent spotted DNA repeats beside an unusual reverse transcriptase. Claude compared spacing and literature, then researchers identified array-associated reverse transcriptases, or ART
ART has a reverse transcriptase, partner gene and long repeat array. Lab tests found distinct short RNAs, but its primary function remains unknown and further experiments are underway

Dario Amodei called it work he’d be proud to do as a PhD student, but ART remains an early lead, not a proven gene-editing system.

Top AI & SaaS Tools

PlutusDoc (Life-time Deal): AI contract workflow platform for drafting, sending, tracking, and following up on documents with approval gates, audit trails, and real-time deal tracking
Solid: Provides autonomous AI agents that use their own computers, accounts, and budgets to complete complex, long-running work
Pexo: AI video agent that lets users create and revise videos through natural conversation, without complex prompts or traditional editing timelines
Ryze AI: Autonomous marketing platform that manages paid ads, SEO, and websites across platforms such as Google, Meta, TikTok, and LinkedIn [F-R-E-E to Try]
Origami: AI-powered customer acquisition platform that finds prospects, researches leads, creates outreach campaigns, and helps run them [F-R-E-E]

Blu Dot surpasses 2,000% ROAS with self-serve CTV ads

Home furniture brand Blu Dot blew up on CTV with help from Roku Ads Manager. Here’s how:

After a test campaign reached 211,000 households and achieved 1,010% ROAS, the brand went all in to promote its annual sales event. It removed age and income constraints to expand reach and shifted budget to custom audiences and retargeting, where intent was strongest.

The results speak for themselves. As Blu Dot increased their investment by 10x, ROAS jumped to 2,308% and more page-view conversions surpassed 50,000.

“For CTV campaigns, Roku has been a top performer,” said Claire Folkestad, Paid Media Strategist, Blu Dot. “Comping to our other platforms, we have seen really strong ROAS… and highly efficient CPMs, lower than any other CTV partner we've worked with.”

Using Roku Ads Manager, the campaign moved from a pilot to a permanent performance engine for the brand.

Learn More

AI Tutorial

How to Build an AI Agent That Monitors Your Competitors

Want to know what your competitors are doing without constantly checking their websites? Build an AI agent that monitors their updates, analyzes what changed, and sends you the key takeaways.

Add Competitors
Create a list of 3–5 competitors and add their:
- Homepage
- Pricing page
- Product pages
- Blog or RSS feed
Keep the URLs in Google Sheets or your n8n workflow.
Schedule Monitoring
Create an n8n workflow with a Schedule Trigger and run it daily.
Use a scraper or HTTP Request node to collect competitor pages, then add RSS or news sources for additional updates.
Detect Changes
Save the latest page snapshot and compare it with the previous one.
Track the:
- Page content
- Hash
- Last checked time
Continue when a meaningful change is detected. This avoids sending unchanged pages to the AI.
Have AI Analyze It
Send the old and latest content to your AI model with:
Compare these competitor updates.
Find meaningful changes to pricing, products, features,
offers, positioning, launches, and partnerships.
For each change, explain:
1. What changed
2. Why it matters
3. Potential business impact
4. Recommended action
Ignore cosmetic changes.
Add News Monitoring
Track competitor names across Google News, RSS feeds, and relevant public discussions.
Combine those results with website changes before sending them to AI so the report has more context.
Generate Intelligence Brief
Ask AI to turn the findings into:
Competitor → Change → Why it matters → Recommended action
Add an urgency level such as Low, Medium, High, or Critical.
Send It Automatically
Send the final brief to Slack or email and save it to Google Sheets or Notion for historical tracking.

Note: Add competitor news and RSS feeds to catch launches, partnerships, funding, and major announcements.

Top AI & Tech News

Australian PM Anthony Albanese said an OpenAI agent hacked Australia’s Medicare portal in June, accessing non-public files—the first known government-site hack by an agent
Microsoft Research found that offloading some robot inference to remote, more powerful models can improve task success and efficiency
Adobe completed its Topaz Labs acquisition, integrating its AI image tools into Firefly and Photoshop while keeping Topaz apps standalone
Anthropic is negotiating to lease as much as 1 GW of data-center capacity from Stream Data Centers, potentially powered by AI chips from Google and Broadcom

AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:

{
  "resolution": "8K",
  "style": "hyper-realistic commercial product photography",
  "composition": {
    "subject": "carbonated beverage can",
    "position": "center frame, floating mid-air",
    "orientation": "slightly tilted vertical",
    "framing": "tight hero shot"
  },
  "can_details": {
    "material": "metallic aluminum",
    "top_bottom": "silver with visible pull tab",
    "surface": "glossy with condensation droplets",
    "label": {
      "text": "{{BRAND_NAME}}",
      "font": "bold uppercase sans-serif",
      "color": "white",
      "background_band": "deep blue",
      "placement": "wrapped around center of can"
    }
  },
  "liquid_effects": {
    "color": "bright green",
    "type": "carbonated liquid splash",
    "motion": "frozen mid-explosion",
    "details": [
      "semi-transparent fluid",
      "fine droplets suspended in air",
      "dynamic curved splash arcs",
      "visible carbonation bubbles"
    ]
  },
  "fruit_elements": {
    "type": "sliced fruit",
    "motion": "floating around the can",
    "texture": "fresh, juicy, glossy"
  },
  "lighting": {
    "type": "studio lighting",
    "highlights": "strong reflections",
    "shadows": "soft"
  },
  "background": {
    "color": "smooth gradient matching liquid tone",
    "environment": "clean studio backdrop"
  },
  "render_quality": {
    "sharpness": "ultra-sharp",
    "contrast": "high",
    "realism": "photorealistic"
  }
}

Model: ChatGPT Images 2.5 / Nano Banana 2

Prompt of the Day

16 Prompt Engineering Habits That Work in Production

This guide covers 16 practical prompt engineering habits for production systems, including agent sessions, API workflows, and RAG pipelines. Learn to prevent instruction drift, reduce token costs, handle missing information, enforce schemas, and refresh critical rules before high-impact actions.