lastin-ai-2/README.md

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# 🧠 LastIn AI: Your Paper's New Overlord
[![AI Overlord](https://img.shields.io/badge/Powered%20By-Sentient%20Sparks-blue?style=for-the-badge)](https://www.youtube.com/watch?v=dQw4w9WgXcQ)
**An AI system that reads, judges, and organizes papers so you can pretend you're keeping up with the literature**
## 🚀 Features
- 🤖 **Self-Optimizing Pipeline**: Now with 20% more existential dread about its purpose
- 🧩 **Modular Architecture**: Swappable components like you're building Ikea furniture for robots
- 🔍 **Context-Aware Analysis**: Reads between LaTeX equations like a PhD student reads Twitter
- 🛠 **Self-Healing Storage**: Fixes database issues while questioning why it bothers
- 🤯 **Flux Capacitor Mode**: Time-aware processing (results may violate causality)
## ⚙️ Installation
```bash
# Clone repository (we promise there's no paperclip maximizer)
git clone https://github.com/your-lab/lastin-ai.git
cd lastin-ai
# Install dependencies (virtual env recommended)
pip install -r requirements.txt # Now with non-Euclidean dependency resolution!
# Initialize the system (requires PostgreSQL)
python -m src.main init-db # Creates tables and a small existential crisis
```
## 🔧 Configuration
Rename `.env.example` to `.env` and feed it your secrets:
```ini
OPENAI_API_KEY=sk-your-key-here # We pinky-promise not to become self-aware
DEEPSEEK_API_KEY=sk-moon-shot # For when regular AI isn't dramatic enough
DB_HOST=localhost # Where we store your academic sins
DB_NAME=paper_analysis # Schema designed during a SIGBOVIK break
```
## 🧠 Usage
```bash
# Harvest papers like an academic combine
python -m src.main fetch --categories cs.AI --days 7
# Query your digital hoard
python -m src.main query "papers that cite GPT but clearly didn't read it"
```
**Pro Mode:** Add `--loglevel DEBUG` to watch neural networks question the meaning of "breakthrough".
## 🏗 Architecture
```
lastin-ai/
├── src/
│ ├── data_acquisition/ # Papers go in, embeddings come out
│ ├── storage/ # Where vectors go to rethink their life choices
│ ├── utils/ # Home of AgentController (the real protagonist)
│ └── main.py # The big red button (do not push)
```
Our **Agent Controller** handles:
- 🧬 Data consistency through sheer willpower
- 📉 Quality metrics that judge us all
- 🧮 Vector math that would make Von Neumann blush
## 🌌 Roadmap
- [ ] Implement ethical constraints (optional)
- [ ] Add support for papers written by AIs about AIs
- [ ] Quantum-resistant pretension detection
- [ ] Automated rebuttal generator for peer review
## 🌟 Acknowledgments
- **ArXiv** for the digital paper avalanche
- **GPUs** for pretending we're not just matrix multiplying
- **The concept of attention** - you're the real MVP
---
*Disclaimer: May occasionally generate paper summaries more coherent than the originals. Not liable for recursive self-improvement loops.* 🤖➰