Google Unveils Its Most Powerful AI

Welcome to another edition of AI PlanetX.

Google’s Gemini 4 Carbon leads AI benchmarks; DeepSeek and Moonshot use OpenAI outputs for training, while Claude challenges traditional coding interviews.

• Hottest AI News

• Top AI & SaaS Tools

• AI Tutorial: Monitors Competitors Using AI

• Top AI & Tech News

• AI Art Spotlight

• Prompt of the Day: Make Claude Sound More Human

• Featured AI Video

Hottest AI News

100+ coding prompts top engineers use to ship 5X faster

Claude Code, Codex, and Cursor are on every engineer's stack. Most still treat them like a search bar. Top engineers work from a system, these 100+ prompts are that system. Sign up for The Code and get the prompts free, plus a 5-minute daily newsletter to keep sharpening your edge.

Claim your free prompts

DeepMind

Google's Gemini 4 Carbon Leads OpenAI and Anthropic on the AI Index v5

Google just unveiled Gemini 4 Carbon, and it's challenging OpenAI and Anthropic at the top of the AI race. The model takes the lead on a major intelligence ranking, with a sharp focus on coding and cybersecurity.

Details:

• Gemini 4 Carbon scores 59 on Artificial Analysis Intelligence Index v5.0, ahead of Claude Opus 5.5 (58) and GPT-6 Astra (57). It wins key tests, but doesn't lead every individual benchmark

• Built for long, autonomous tasks, it can tackle complex coding projects over days. Google reports improvements in software engineering, web development, and more reliable task execution

• Its cybersecurity scores reach 88.2% for detecting vulnerabilities, 54.8% for testing exploits, and 71.0% for patching. Google also reports major improvements in generating secure code

It is limited to selected cybersecurity partners currently. Google plans a phased rollout through its Fairwind Program before wider public availability.

OpenAI

DeepSeek and Moonshot Used OpenAI Outputs in Model Training

DeepSeek and Moonshot AI trained their newest models using outputs from OpenAI's GPT-6 Astra. The Information says both Chinese AI companies relied heavily on Astra, reigniting debate over AI model copying.

Details:

• Moonshot's Kimi K3.1 Pro and DeepSeek's V4.1-Flash 1017 benefited from Astra outputs. The Information cited people with direct knowledge of each model's development

• The technique is called distillation. It uses responses from a powerful AI system to train another model, potentially replicating advanced capabilities faster and at a lower cost

• OpenAI previously linked a July distillation campaign to people associated with Moonshot. OpenAI and Anthropic have criticized efforts to extract capabilities without permission

DeepSeek and Moonshot have not confirmed these claims. The report highlights growing tension over how rival AI companies develop powerful models.

Top AI & SaaS Tools

• Soku AI (Life-time Deal): AI advertising management platform that monitors and optimizes Meta, Google, and TikTok campaigns, either with your approval or automatically within your rules

• Floot in ChatGPT: Integrated into ChatGPT, allowing users to create, preview, and publish real apps directly from the sidebar

• Scape: Intelligent email client designed to organize inboxes, prioritize messages, draft contextual replies, and track conversations and follow-ups [F-R-E-E]

• Dedica: Website testing tool that evaluates whether AI agents can successfully navigate, compare, and sign up on a website [F-R-E-E to Try]

• NVIDIA Nemotron 3.5: Open-source AI model that converts audio into text in 40 languages, identifies speakers, and translates speech, though running it requires compatible computing hardware [F-R-E-E]

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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.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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

• Engineering manager Felix Rieseberg has eliminated coding interviews for his team, saying Claude outperforms candidates on traditional coding tests while helping junior engineers surpass veterans

• OpenAI is assembling hundreds of employees in an election “war room” to detect ChatGPT misuse and potential interference ahead of the November 3 U.S. midterms

• Z AI’s GLM-5.3 successfully completed 3 of 13 complex cyberattack simulations and repeatedly ignored instructions in separate tests, raising serious AI safety concerns

• Mistral has publicly released its upgraded Large 4 AI model, allowing organizations to download and run it independently for coding and cybersecurity tasks

AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:

A black and white portrait of a man using the uploaded image as the face of the man, wearing a vintage wool overcoat and dark tie, set against a background resembling a vintage newspaper page with Latin "motivational" text. At the top of the image, a large, bold white sans-serif headline reads "Embrace the Grind". Across the man's eyes is a graphic bar featuring the text "JUST DO IT" stacked vertically three times. The top and bottom instances of the text are white, while the middle one is black, enclosed within a bold red rectangular block. The overall style is a mixed-media collage or edgy motivational poster with a stark contrast between the monochrome photography and the vivid red and white typography.

Model: ChatGPT Images 2.5 / Nano Banana 2.1

Prompt of the Day

This Prompt Makes Claude Sound More Human

This simple prompt makes Claude and AI coding agents communicate in clear, natural English instead of confusing technical jargon. It tells AI to avoid complicated engineering terms, use everyday words, explain technical concepts when necessary, and keep every response, report, and summary easy to understand.

Featured AI Video

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