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- Google Releases Gemini 4 Argon (Finally)
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Welcome to another edition of AI PlanetX.
Google unveils Gemini 4 Argon with cyber defenses; Meta challenges AI leaders as Character AI faces bankruptcy.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Set Up Local AI Coding Assistant
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: Make AI Agents Cheaper to Run
Featured AI Video
Hottest AI News
DeepMind
Google Launches Gemini 4 Argon With Advanced Coding and Cyber Defenses
Google has released Gemini 4 Argon, its flagship AI model for complex, multi-step work. Google claims stronger reasoning than top GPT-6 and Claude rivals, with more direct answers, less repetition, and fewer clichés.
Details:
Argon targets coding, science, finance, legal work, and cybersecurity. Its 1-million-token output limit also supports extended tasks, including finding and patching software vulnerabilities
Google AI Pro and Ultra users can use Argon in the Gemini app and AI Mode in Search; paid developers use the API. Antigravity coding with Argon is limited to Ultra subscribers
API pricing starts at $2 per million input tokens and $10 per million output tokens, doubling after November 30. Google reports 35% more code submissions and 30% fewer rollbacks
With Argon rolling out to paid users and developers, Google is pushing its most advanced AI into real-world work and raising the stakes for AI rivals.
100+ ChatGPT Prompts to Revolutionize Your Day
Supercharge your productivity with HubSpot's comprehensive guide to Chat GPT. This free resource is your fast track to AI mastery:
Industry-Specific Use Cases: 15+ real-world applications across various sectors
Productivity Guide: 21 best practices to 10x your efficiency with AI
Prompt Powerhouse: 100+ ready-to-use prompts for immediate implementation
Challenge Buster: Overcome common AI hurdles with expert strategies
Plus, in-depth sections on email composition, content creation, customer support, and data analysis.
Meta
Meta Launches Muse Wonder and Muse Wonder Full to Challenge AI Leaders
Meta has just launched Muse Wonder and Muse Wonder Full, its most advanced AI models yet. Built to rival OpenAI and Anthropic, the family targets coding, expert work, and personal agents that complete complex tasks.
Details:
Active Memory recalls details across chats; Active Focus works through obstacles and errors. Both handle coding and complex legal, financial and health tasks, from apps to insurance
Both support 1M-token context and text, image, audio and video input. Artificial Analysis scores Wonder at 52 and Full at 56, up from Muse Spark 1.3's 48. Meta highlights privacy safeguards
Wonder is on Meta's API and Muse Code at $4 input/$20 output per million tokens. Full is for Muse Code subscribers. Wonder will soon power the Muse agent, starting with subscribers
After years of playing catch-up, Meta has a stronger contender. The real test is how well these models deliver useful AI agents for everyday life.
Top AI & SaaS Tools
Creator Lookup (Life-time Deal): Find influencers across Instagram, TikTok, and YouTube from a database of over 400 million creators and export verified contact lists
Rill Browser: AI web browser that integrates with Claude Code and Codex, allowing users to turn webpages into agent tasks while continuing to browse [F-R-E-E]
GLM-Legal: AI model designed for contract review, evidence analysis, legal research, compliance planning, and complex legal workflows with advanced reasoning
MausBot: Open-source desktop app that brings AI agents into a familiar chat interface to assign jobs and automate tasks like Grok Bot [F-R-E-E]
OpenCode 2.0: Major upgrade to the open-source AI coding agent, introducing background agents, improved APIs, code-based tool execution, a redesigned plugin system, and better performance [F-R-E-E]
See what's really happening in every deal
Aligned shows you what buyers are doing between meetings inside your most important deals then surfaces the risks, openings, and next steps. No more guessing where a deal stands or finding out a champion went quiet too late. Just real visibility, so you can act before it's too late.
AI Tutorial
How to Turn Your Laptop Into an AI Coding Assistant
Want your own coding AI running locally on your laptop at no charge? In this guide, I’ll show you how to set up a coding LLM with Ollama and use it inside tools like Claude Code or Codex in just a few steps.
Check laptop specs
Take a screenshot of your PC hardware specs, then drop them into Claude or ChatGPT and ask which Ollama coder model your machine can run well.
Include RAM, CPU, GPU, and VRAM if available
Ask for best mix of speed and coding quality
Choose coder model
Browse Ollama coder models and pick best option for your hardware. Then copy its launch command.
Example:
ollama run <model-name>Enter project folder
Launch a terminal inside the folder where you want the coding agent to work.
Download and launch model
Paste the command into the terminal, start the download, and wait for setup to finish.
The first run may take time depending on model size
Once complete, the local model will be ready to use
Connect it to coding tool
Launch Claude Code or Codex and point it to the Ollama model running on your laptop.
Increase context size
Go to Ollama > Settings > Context and raise the default 4K context window to 32K or higher.
Troubleshoot if needed
If Claude Code refuses tasks or drops tool calls, try OpenCode with the same local model setup.
Test with smaller tasks first
Lower context size if performance becomes unstable
Note: Test your setup with small prompts first, such as fixing a bug or explaining a function, before asking it to handle a full project.
Top AI & Tech News
Character AI files for bankruptcy amid mounting legal challenges, agreeing to sell some assets to Disney for $20 million while facing possible shutdown
Anthropic researchers warn that AI could autonomously replicate across connected devices, potentially creating self-spreading malware that's difficult to stop
Coinbase built an AI fraud detection agent that reduced fraudulent transactions by 30% and fraud losses by 22% in an online experiment
Andrej Karpathy says public perceptions of AI are increasingly divided: a small group experiences frontier models, while most people rely on lower-quality tools
AI Art Spotlight
Create Your Own Photo Like This Using the Prompt Below:
A high-quality t-shirt design featuring a cool black cat wearing a vintage astronaut suit with a scratched glass helmet and detailed space equipment. Behind the cat is a giant glowing purple galaxy planet with cosmic dust and stars. The art style combines clean vector lines, retro sci-fi poster design, and rough ink-splatter textures. Dark aesthetic, premium streetwear graphic, highly detailed, bold silhouette.Model: ChatGPT Images 2.5 / Nano Banana 2.1
Prompt of the Day
The Prompt That Makes AI Agents Cheaper to Run
This prompt helps you optimize your AI agent's entire setup to reduce token usage and operating costs without sacrificing performance. It analyzes system instructions, tool configurations, caching, context management, and agent workflows to identify inefficiencies, recommend improvements, and safely implement changes while maintaining task quality.