Alex Prompter (@alex_prompter)
I don't get why most people don't use Perplexity for deep research. Let me show you 7 prompts that turn it into a PhD-level research assistant (and save you weeks of work): ...
🚨 RAG is broken and nobody's talking about it. Stanford just exposed the fatal flaw killing every "AI that reads your docs" product. It's called "Semantic Collapse", and it happens the moment your knowledge base hits critical mass. Here's the brutal math (and why your RAG system is already dying)...
Anthropic's Claude documentation hides a prompting method in plain sight. Only 2% of users know it exists. It's called XML-structured prompting. Here's how to it works: (Comment "Claude" and I'll DM you complete Claude Mastery Guide for free) ...
SUN TZU’S ART OF WAR WAS NEVER ABOUT WAR. It was about positioning, leverage, and choosing battles so carefully that victory feels boring. I spent hours converting Sun Tzu’s actual thinking framework into structured AI prompts that help you avoid bad fights, exploit asymmetry, and move only when t...
🚨 DeepSeek just did something unthinkable. They dropped DeepSeek-V3.2, and it quietly rewrites what “open-source frontier model” even means. Instead of scaling params or throwing more GPUs, they redesigned how an LLM thinks and trains and the results feel unreal for an open model. V3.2 shows huge...
RIP prompt engineering. Context engineering is the new king. If you’re still obsessing over “perfect prompts,” you’re already behind. The real power now lies in how you structure context not how cleverly you phrase a single line of text. Here's how to write prompts expertly:...
🚨 I just read the most important AI paper of 2025 and it might redefine how medical students learn. A new paper from Dartmouth and Stanford shows that generative AI can finally deliver personalized tutoring at scale without hallucinations. They built a system called NeuroBot TA, an AI teaching ass...
holy sh*t... your llm remembers everything you typed 🤯 researchers just proved you can recover the EXACT input text from a language model's hidden states. not similar text. not approximate. the actual words you typed. here's what they found: • transformer language models are mathematically inj...
Everyone says “LLMs are black boxes.” This paper "How Do LLMs Use Their Depth?” just opened one and showed how intelligence forms layer by layer. They follow a “Guess → Refine” strategy: • Early layers make statistical guesses using frequent tokens (“the”, “of”, “and”) • Middle layers pull in con...