[P] AI Learns to Conquer Gaming's Most BRUTAL Level (Donkey Kong)
youtube.com·2d
📼Retro Games
Show HN: LatentSync–Precise AI Video Lip Synchronization
latentsyncai.com·3d·
Discuss: Hacker News
✅Verification Codecs
Show HN: Cortex – OS-wide AI with instant context input
cortexdesktop.com·3d·
Discuss: Hacker News
🖥️Terminal Emulators
Building Paperboy: A Personal Reading Recommendation Engine
joshbeckman.org·3h·
Discuss: Hacker News
🎯Content Recommendation
Unsupervised Model Improvement via Internal Coherence Maximization
huggingface.co·2d·
Discuss: Hacker News
🧮SMT Solvers
We're not vibe coding enough
jeffnunn.com·4h·
Discuss: Hacker News
🚀Indie Hacking
AI judging AI: Scaling unstructured text analysis with Amazon Nova
aws.amazon.com·1d
🤖AI Curation
Show HN: Empromptu.ai – No code, AI app builder with RAG, model, evals etc.
news.ycombinator.com·1h·
Discuss: Hacker News
🌀Brotli Internals
Little Mistakes in AI Can Lead to Big Problems
hackernoon.com·1d
🔍Vector Forensics
Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellation
arxiv.org·16h
📊Learned Metrics
MUTE-DSS: A Digital-Twin-Based Decision Support System for Minimizing Underwater Radiated Noise in Ship Voyage Planning
arxiv.org·16h
👂Psychoacoustic Coding
Combine the Power of ASR & LLM with NVIDIA's Canary-Qwen-2.5B
dev.to·1d·
Discuss: DEV
🖥️Modern Terminals
Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges
arxiv.org·1d
🔗Parser Combinators
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
arxiv.org·16h
🧮Kolmogorov Complexity
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
arxiv.org·16h
🚀SIMD Text Processing
Kimi K2 vs Grok 4: Which AI Model Codes Better?
dev.to·6h·
Discuss: DEV
🧠Intelligence Compression
Machine Learning Fundamentals: model evaluation
dev.to·5h·
Discuss: DEV
🌊Stream Processing
An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning
arxiv.org·16h
🔲Cellular Automata
A Beginner’s Guide to Semi-Supervised Learning in Machine Learning
dev.to·1d·
Discuss: DEV
🧮Kolmogorov Bounds
Constructive Disintegration and Conditional Modes
arxiv.org·1d
🏗️Constructive Logic