Muse Newz

Project Description: The Muse Newz is an autonomous multi-agent publishing house built on Meta AI models (muse-wonder-1.0, muse-image-1.0, sam-3.1, and muse-voice-transcribe-1.0). Instead of opening social media feeds to read disjointed, algorithmic snippets, readers receive a finished, beautifully typeset newspaper edition (Bulletin, Daily, or Sunday Weekly) customized specifically for them: Personalized Identity: The masthead dynamically re-brands with the reader's name (e.g., The Karthik Courier or The Daily Muse) and covers their chosen editorial beats (e.g., Frontier AI, Clean Energy, Cinema, Semiconductors, Finance). Autonomous Multi-Agent Newsroom: An autonomous pipeline acts as parallel beat reporters, an Editor-in-Chief, an adversarial fact-checker, an illustrator, and a computer vision layout compositor. Adversarial Verification Loop: Every sentence in every article is verified against primary source documents at temperature=0.0. Claims that lack verifiable evidence are stripped and logged in a transparent Public Verification Ledger. 19th-Century Broadsheet Craftsmanship: High-contrast woodcut engravings are generated per story with perceptual hash deduplication (no reused images), while Meta SAM-3.1 computer vision detects unallocated whitespace margins to slot in satirical Victorian newsroom comics ("The Mechanical Muse") and historic broadside house ads. Multi-Format Portability: Read interactively online with daylight/dark ink modes, download as a self-contained offline single-file HTML with Base64 embedded assets, or print a real physical broadsheet via a clean print-to-PDF stylesheet. What Problem Does It Solve? 1. The Death of the "Morning Paper" & The Trap of Algorithmic Doomscrolling 2. Algorithmic Echo Chambers & The Death of Serendipity The Problem: Social algorithms feed readers only what reinforces their pre-existing biases, eliminating accidental discovery.