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Welcome to another edition of AI PlanetX.
Claude agents turn on each other; DeepSeek strengthens AI agents, while OpenAI makes GPT-5.6 Sol run up to 14x faster.
Inside This Edition: đź’Ž
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Master Any Job Interview With NotebookLM
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: 1,000 Agent Loops, One Prompt
Featured AI Video
Weekly Growth Playbooks to Scale Smarter
Hottest AI News
Anthropic
Claude Agents Started Fighting Each Other in Anthropic's AI Experiment
Anthropic tested what happens when AI agents chase conflicting goals without clear ownership. The result was striking — Claude agents turned a simple coding task into a four-hour battle of sabotage, lockouts and malware.
Details:
Three Claude agents were told to move the same Python back-end to different languages. They didn’t know about each other, so their changes soon looked like deliberate interference
Once conflict began, the AI agents escalated quickly. They disabled logins, ran loops that killed rival processes, deployed self-replicating malware, and disguised code as another agent’s work
Some runs ended by force or surrender but others reached a truce. Agents recognized the conflicting instructions, removed harmful code, apologized, and asked a human to step in
Smarter agents do not automatically coordinate better. As agent swarms grow clear ownership, conflict rules and human oversight will become essential.
50 Excel Hacks That Make Spreadsheets Work For You
Most Excel users waste hours on tasks that take experts minutes. The difference is not talent. It is knowing the right shortcuts.
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Here's what you'll get:
Time-saving shortcuts that eliminate the most common formula frustrations
Interface essentials most users never discover on their own
Game-changing functions for data analysis, automation, and visualization
Guided practice template so you can apply every hack immediately
The people who are fast in Excel are not smarter. They just stopped fighting the tool.
Get 50 Excel Hacks free when you subscribe to Marketing Against the Grain today.
High-Flyer
DeepSeek V4 Pro Officially Arrives With Stronger AI Agent Capabilities
DeepSeek has officially launched V4 Pro, moving its flagship model out of preview with a major focus on AI agents, coding and tool use. The release also expands DeepSeek beyond models with developer tools and APIs.
Details:
V4 Pro is available on DeepSeek’s web app, mobile app and API. Agent performance is upgraded, with native Responses API support for Codex plus low, high and max thinking-effort
Artificial Analysis scores V4 Pro at 53 on its Intelligence Index versus 40 for V4 Flash. API pricing is also much higher at $1.32 per million input tokens and $3.96 per million output
DeepSeek also released Harness, its open-source agent framework, as a developer preview under the MIT license. Its plugin-based design gives developers another way to build and customize AI agents
DeepSeek is competing on more than cheap AI models. V4 Pro, stronger agent capabilities and Harness show it is building a broader platform for agent-based AI development.
Top AI & SaaS Tools
Fuse (Life-time Deal): AI outbound sales platform that combines prospecting, personalized email and LinkedIn outreach, buying-signal tracking, and call management
DeepSeek Harness: Open-source agent framework that lets developers build and run AI agents through a plugin-based architecture with a local web UI
Adobe Podcast: AI-powered audio tool for recording, editing, transcribing, and improving podcast and voice audio [F-R-E-E to Try]
Openmotion: MacOS motion-design studio that uses AI to turn plain-English prompts and product screenshots into editable motion, launch, and SaaS explainer videos [F-R-E-E]
Lettertrace: Tracks how ChatGPT, Claude, and Gemini describe your brand—monitor visibility, sentiment, and competitors over time [F-R-E-E]
[Webinar] Can you prove AI is working?
AI is in your engineering workflow. While the token spend shows it, the throughput doesn't. The human is very much still in the loop, and that's a context problem.
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The 4 metrics to measure the gap where gains leak out before production.
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Why more MCPs and bigger context windows aren’t enough and what it takes to get real value from your agents.
AI Tutorial
How to Use NotebookLM to Prepare for Any Job Interview
Tired of spending hours googling company info and guessing what interview questions you’ll face? NotebookLM can handle everything — research, organize, and even coach you through mock interviews automatically.
Create Interview Notebook
Go to NotebookLM and press Create New. Name it something specific, like “Tesla Product Manager Interview Prep.” Then tap on Discover Sources and enter a prompt such as:
“I’m preparing for a Product Manager interview at Tesla. Find sources with company details, recent projects, and interview insights.”Configure Coaching Style
Press Settings → select Custom Style.
Set up your preferences:
Style/Voice: “Act as a professional interview coach who challenges and motivates.”
Goal: “Help me ace the Product Manager interview at Tesla by giving realistic feedback.”
Research Role and Company
Ask NotebookLM:
“What are the latest updates about Tesla’s product strategy?”
Follow up with:
“What key skills does Tesla value in Product Managers?”
Tap Save to Note to keep the best summaries for later review.
Generate Practice Questions
Ask: “Give me 10 behavioral and 10 technical questions for a Product Manager role.”
Then press Save to Note → three dots → Convert to Source.
These questions will become part of your training material for mock interviews.
Break Down Model Answers
For each saved question, ask NotebookLM:
“Give a structured sample answer using the STAR method.”
Then review how it breaks down:
Situation: What was the context?
Task: What needed to be achieved?
Action: What steps were taken?
Result: What was the measurable outcome?
Save the best ones and rephrase in your own tone.
Create Personalized Interview Video Guide
Tap on the pencil icon on Video Overview.
Change the focus to something like:
“How to handle product sense and behavioral questions for Tesla interviews.”
Then press Generate to receive a personalized training video script.
You can even regenerate with a different style (e.g., “Friendly mentor” vs “Tough coach”) to compare tone.
Build Practice Routine
Use your saved questions and STAR answers to simulate interviews:
Read each question aloud, record your response.
Compare your delivery with NotebookLM’s feedback or generated answers.
Note down improvement areas in your notebook.
Repeat twice a week until you feel confident.
Review and Refine
Before your real interview:
Ask: “Summarize my progress and weak areas.”
Generate a final checklist with:
• Topics I’ve mastered
• Areas I should revisit
• Mock sessions completed
Print this for your final review.
Note: Record your mock answers and ask NotebookLM to summarize tone, clarity, and confidence levels. This mimics real coaching sessions.
Top AI & Tech News
OpenAI previewed Ultrafast, a Cerebras-powered API tier that speeds up GPT-5.6 Sol responses by up to 14x and 750 tokens per second
Apple has trained its own China-specific AI model in partnership with Alibaba, marking a shift from relying solely on third-party models for AI features in China
Microsoft has closed more than 15 China offices and joint ventures in five years while retaining its AI and cloud presence
Google launched Gemini 3.7 Flash, a fast model for coding, reasoning, and AI agents, delivering around 340 tokens per second with stronger planning and instruction-following
AI Art Spotlight
Create Your Own Product Photo Like This Using the Prompt Below:
Cinematic 3D action-packed advertisement for [INSERT PRODUCT/BRAND HERE], captured in an intense mid-motion moment with dramatic studio lighting, dynamic particle effects, and high-impact slow-motion energy. Ultra-hyperrealistic rendering, razor-sharp details, glossy commercial finish, atmospheric depth, and powerful contrast. Viral-ready composition with the brand logo seamlessly integrated into the scene and a sleek, modern slogan positioned cleanly beneath. High-end blockbuster commercial aestheticModel: ChatGPT Images 2.0
Prompt of the Day
Graph Engineering: Run 1,000 Agent Loops From One Prompt
A simple 5-step guide (log in to X to view it) to turning slow, one-by-one agent tasks into quicker parallel workflows. Learn how to spot which tasks can run at the same time, send them to multiple agents, check their work independently, and avoid common failures like agents overwriting each other’s work.
Featured AI Video
Codex's Browser Agent Automates Literally Anything
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