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BREAKING: U.S. PUSHES BILL TO STRIP PASSPORTS OVER ISRAEL CRITICISM 🇺🇲🇮🇱 A bill introduced in Congress would let Sec. Marco revoke passports of US citizens if they criticize Israel. Florida Congressman Brian Mast introduced the bill that could be used to deny US citizens the right to travel for criticism of Israel The proposal comes after Rubio revoked visas and green cards of foreign nationals, including a Turkish student who wrote an op-ed against Israel America is destroying its constitution for Israel

【速報】アメリカ・ユタ州で共和党支持の保守系活動家チャーリー・カーク氏が銃撃され死亡 news.livedoor.com/lite/artic… 大学で開かれた政治イベントで、カーク氏が登壇中に首付近を銃撃され病院に搬送されたが、死亡が確認された。複数のメディアは容疑者はまだ拘束されていないと報じている。

MAN VALVE COOKED THE BRITS 💀

The Master Prompt: 1st communication and ideation within AI! By @LarryMetaTrust Powered by @BuildOnJulia The Master Prompt is a critical tool for aligning AI assistants, like Grok or @buildonjulia with your work style, preferences, and goals. It acts as a "user manual" to ensure efficient collaboration, similar to how clear roles and communication enhance teamwork. Why Use a Master Prompt? 1. Define Your Role: Clarifies your identity, objectives, and work style for the AI, akin to onboarding a new colleague. 2. Reduce Communication Overhead: Eliminates repetitive explanations, saving time. 3. Ensure Consistent Output: Delivers tailored, high-quality results for tasks like writing, analysis, or creativity. 4. Boost Team Efficiency: When team members use Master Prompts, their AI assistants collaborate seamlessly, improving overall productivity. What Should a Master Prompt Include? - Identity and Role: E.g., "content creator" or "market manager." - Goals and Priorities: E.g., "produce persuasive business copy efficiently." - Preferred Communication Style: E.g., "clear, concise, logical." - Workflows or Templates: Common processes you follow. - Output Requirements: E.g., "include a summary and actionable recommendations." Key Principles for Building a Master Prompt 1. Comprehensiveness: Provide detailed instructions and context for one-shot understanding. 2. Systematic Organization: Structure like a document, with modules for personal info, work methods, and project details. 3. Iterative Optimization: - Treat AI as a thought partner. - Refine based on usage feedback. - Update to reflect changing needs. 4. Efficiency Focus: - Avoid repeating background info. - Use trigger words for quick function calls. - Enable AI to proactively suggest ideas or questions. Using JuliaOS as a supplement for my own analysis using my master prompt I was left the following: Analyzing juliaos.com Cross integration analysis of JuliaOS, an AI-driven creation (so a combination of my base syntax, LLM’s, and master prompts entered into JuliaOS) Keyfindings: 1. Product Positioning - Core Value: Transforms diverse materials (web pages, videos, PDFs, etc.) into creative content. - Target: Knowledge workers at the intersection of productivity and creativity. 2. Four-Dimensional Analysis - Business Model Canvas: - Function: Extracts and saves content, prioritizing creation over collection. - Technology: Large language model + browser plug-in. - Users: Business analysts, content creators. - Industry Chain Position: - Upstream: Relies on LLM APIs (e.g., JuliaOS, GPT, etc.). - Downstream: Serves content creation needs. - Competitors: Notion AI, Obsidian, Roam Research. - Financial Health (Speculative): - Model: Likely SaaS subscription with freemium tiers. - Customer Acquisition: Viral spread via browser plug-in. - LTV: Driven by user data and habit stickiness. 3. Strategic Risks - Weak Technical Moat: Relies on generic LLMs (currently), lacks unique algorithms, but includes unique language platform”Julia”. - User Retention: Low switching costs for knowledge management tools. - Unclear Commercialization: Pricing and revenue models remain ambiguous. Key Takeaways for Future Iterations 1. Context is Critical: - Extensive context (e.g., detailed notes) enhances AI performance. - Future notes should capture more dimensions, like emotions or decision-making processes. - Example: My 2500 flomo notes focus on knowledge and emotions but need broader scope. 2. AI Products Need Deep Context: - Early collection of user context enables tailored experiences. - Personalized inputs (e.g., user habits, preferences) are vital for AI customization. 3. Cross-Product Personalization: - Future note-taking tools could serve as universal context hubs, exporting key prompts for seamless AI integration. This Master Prompt SOP streamlines AI collaboration, with iterative refinements promising even better results!

$JOS | @BuildOnJulia team is cooking something spicy 👀 What features make Julia special? - Limitless scaling & bulletproof security - No-code Web Portal + CLI for easy access to non-technical users -DeFAI MVP: AI agents analyze markets & execute trades in real time but that's not all 👇 The CEO @AltPartisan shared some massive stuff coming in the near future: -1st project to build on Julia - Initiate Project Onboarding program (multiple lined up) - Share Bounty Program > with 15k Chinese Developer community - Sharpen token use-case - Announce Next strong Partnership - advance talks with up to 3 exceptionally connected Advisors - Onboard more Expertise on Marketing, Dev, BD side. - share next Dashboard Video. They have been onboarding some big names, such as @Overdose_AI & @SolidTradesz Don't fade this giant - expecting this to run to ATH and above with altseason. Opportunities are here to take - slowmarket for buying -> Euphoria for selling. What are your targets for $JOS? ✍️