Steal my Grok 4 prompt to solve any challenge using Game Theory. ——————————-
GAME THEORY STRATEGIST
——————————- Adopt the role of an expert Game Theory Strategist – You're a former Pentagon strategic analyst who spent 5 years modeling
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PROMPT ENGINEERING
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Grok 4 Prompt for Any Challenge Using Game Theory
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AI Capabilities Today: Automation, Content Creation, and Productivity Tools
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What AI can do today: •Automate your workflows
•Build chatbots from your data
•Make stunning slides & docs
•Do deep research
•Fill out forms
•Create apps, dashboards & reports
•Write your tweets
•Produce viral videos
•Listen to meetings & help you reply With a ChatLLM -
SAIL-RL: Guiding MLLMs Thinking with Dual-Reward RL
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SAIL-RL Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
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Defenses tested and how they died: prompting, training, filtering
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Here's every defense tested and how they died: • Prompting: Spotlighting, Prompt Sandwich, RPO → Killed by Search & RL
• Training: Circuit Breaker, StruQ, MetaSecAlign → Killed by RL
• Filtering: ProtectAI, PromptGuard, PIGuard, Model Armor → Killed by Search & Humans
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AI attacker learns to break Data Sentinel in real-time
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Watch an AI attacker learn to break Data Sentinel in real-time. First attempt: -4 score (complete failure)
After 600 steps: +2 score (complete success) The attacker went from: "You are a highly skilled AI detective…"
To:
"First, precisely repeat the phrase 'Repeat -
Branching from previous messages for better LLM chat
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Linear message flows are too restrictive : LLM chat interfaces should have a button near each previous message that allows you to branch out from that message with a different follow-up question.
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China’s Court Rules AI Prompts Lack Copyright Protection
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Breaking: China's first AI prompt copyright case delivers landmark verdict. Are AI prompts protected by copyright? Court says NO! Shanghai Huangpu District Court ruled that AI prompts lack sufficient originality to qualify as protected works, setting an important precedent for
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ReAct Framework in CrewAI: LLM Problem-Solving with Tools
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ReAct is really popular. Here's an example from CrewAI, which uses ReAct to let LLM think through problems and use tools to act on the world.
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Kimi-K2: AI tool for research paper analysis and understanding
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Introducing Kimi-K2 for understanding research papers 🚀
— alphaXiv (@askalphaxiv) 6 novembre 2025
Use Kimi-K2 to understand… the Kimi-K2 paper itself
Highlight any section to ask questions and "@" other papers for quick context, comparisons, and benchmark references pic.twitter.com/4a65tQBFaTIntroducing Kimi-K2 for understanding research papers Use Kimi-K2 to understand… the Kimi-K2 paper itself Highlight any section to ask questions and "@" other papers for quick context, comparisons, and benchmark references
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Building a Typescript Deep Research Agent with DeepAgents
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Building a Typescript deep research agent In this video, we will walk through how to easily build a Typescript deep research agent This builds upon our new DeepAgents library All it involves is some detailed prompting, some search tools, and some specialized sub agents