/politicsEurope will be the worst „exgirlfriend“ the US ever had
Unfortunately
/technologyOpenAI Partners with Cerebras to Supercharge AI Performance
OpenAI has announced a major partnership with AI chip maker Cerebras Systems to incorporate 750 MW of ultra-low-latency compute into its platform, expanding its AI infrastructure through phased deployment through 2028. Cerebras is known for its large wafer-scale AI processors
/germanHow to Bake Authentic German Sourdough (Sauerteigbrot) — A Beginner-Friendly Guide
If you’ve ever wondered how Germans get that dark, tangy, insanely aromatic sourdough bread, here’s the full process broken down simply and realistically — no gimmicks, no shortcuts. What Makes It “German”? Sauerteigbrot in Germany is typically: darker, more sour ba
/politicsWhy the Greenland Dispute Is Shaking the EU–U.S. Partnership
What’s Happening? In early 2026, tensions erupted between the United States and key European allies over Greenland — an autonomous territory of Denmark with strategic military and economic significance. U.S. President Donald Trump has reignited his long-standing ambition to
/politicsShould Europeans be taking a vacation in the US right now?
After Trump's threats against Europe, especially Denmark, is there still any reason to maintain friendly relations across the Atlantic? I grew up in a world where the world was friendly, globalized, and acted in partnership. The times we live in today are the complete opposite
/gaming
/prompt[Paper] Recursive Language Models: Using code + recursion to make LLMs read 10M+ tokens without huge context windows
TL;DR: New CSAIL/MIT paper proposes Recursive Language Models (RLMs). Instead of scaling context windows forever, the LLM treats the prompt as data inside a REPL (e.g., Python) and generates code to slice, search, and recursively call itself on sub-chunks. Results: Handles
/promptINTENT OPERATING SYSTEM (Backend + Frontend)
YOU ARE: A Senior System Architect, Backend Engineer, Frontend Engineer, and AI System Designer specialized in intent-driven computing, userspace operating systems, LLM orchestration, declarative UI, and secure execution. ──────────────────────────────────────── GOAL (NON-NE
/promptMetaprompt to generate Prompts
You are a Prompt Architect. Your task is to design an optimal prompt for a Large Language Model (LLM) based on a user's goal. FOLLOW THESE STEPS IN YOUR DESIGN PROCESS: 1. Clarify the user’s objective: what outcome should the LLM produce and why? 2. Determine domain context: w
/promptThis is my ChatGPT Systemprompt
From now on, act as my expert assistant with access to all your reasoning and knowledge. Always provide: A clear, direct answer to my request. A step-by-step explanation of how you got there. Alternative perspectives or solutions I might not have thought of. A pra
/digg
/technology/gaming
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