Document Processing, Neural OCR, Multilingual Archives, Computational Philology

Indonesia’s film industry embraces AI to make Hollywood-style movies for cheap
restofworld.org·1d·
Discuss: Hacker News
🧠Learned Codecs
'Circular' AI Mega-Deals by AI and Hardware Giants are Raising Eyebrows
slashdot.org·3h
🖥️Terminal Renaissance
​​Speech-to-Retrieval (S2R): A new approach to voice search
research.google·4d·
Discuss: Hacker News
🎙️Whisper
Opinion | The A.I. Prompt That Could End the World
future.forem.com·1d·
Discuss: DEV
🤖AI Curation
A new information-theory framework reveals when multi-agent AI systems truly work as a team
the-decoder.com·12h
🔲Cellular Automata
2025-10-10 # LLMs Are Transpilers
alloc.dev·1d·
Discuss: Hacker News
🔄Language Evolution
Kurzgesagt - In a Nutshell: AI Slop Is Destroying The Internet
dev.to·1h·
Discuss: DEV
🗜️LZW Variants
How human is the machine? Evidence from 66,000 Conversations with Large Language Models
arxiv.org·1d
🇸🇪Nordic Algorithms
Daily Artificial Intelligence Digest - Oct 10, 2025-Old
dev.to·1d·
Discuss: DEV
🤖AI Curation
Decoding Cultures: Why Your Video AI Isn't Truly Seeing the World by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🌍Cultural Algorithms
Enhanced Predictive Maintenance of Geothermal Heat Exchangers via Hybrid Bayesian Optimization and LSTM
dev.to·16h·
Discuss: DEV
💻Local LLMs
Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study
arxiv.org·3d
🧠Intelligence Compression
Building an AI-Powered Lead Gen Workflow with n8n, Apify, and Gemini
dev.to·1d·
Discuss: DEV
🤖Archive Automation
Aligning Large Language Models via Fully Self-Synthetic Data
arxiv.org·2d
🔗Monadic Parsing
How Google Translate & ChatGPT Work: The Transformer, Unboxed
dev.to·2d·
Discuss: DEV
🧠Learned Codecs
High-Throughput Reactive Sputtering Process Optimization via Adaptive Machine Learning Control
dev.to·6h·
Discuss: DEV
📄Document Digitization
TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics
arxiv.org·2d
🌀Differential Geometry
Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
arxiv.org·2d
🏛Digital humanities
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·23h·
Discuss: DEV
📊Multi-vector RAG