📼 Tape Combinators

Sequential Programming Models, Linear Processing, Magnetic Computation, Storage Abstractions

The Babel Tower of SQL Dialects
feldera.com·1d·
Discuss: Hacker News
⛏️SQL Archaeology
Speeding up sideeffects with JIT in mountaineer
pierce.dev·1d·
Discuss: Hacker News
🦀Rust Macros
The network is indeed trying to become the computer
theregister.com·16h·
Discuss: Hacker News
🖥️Modern Terminals
Simulating a neural operating system with Gemini 2.5 Flash-Lite
developers.googleblog.com·2d·
Discuss: Hacker News
🎯Emulator Accuracy
Never Underestimate Memory Architecture - Bryan Boreham, Grafana Labs
youtube.com·1d
🌊Stream Processing
# ProtBFN: Bayesian Foundation Model for Protein Sequence Design
dev.to·4h·
Discuss: DEV
⚙️ABNF Mining
Performance improvement of spatial semantic segmentation with enriched audio features and agent-based error correction for DCASE 2025 Challenge Task 4
arxiv.org·23h
🎵Audio ML
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE
arxiv.org·23h
🌀Brotli Internals
Advanced Full-Stack Development: Building Scalable Web Applications
dev.to·15h·
Discuss: DEV
🌊Stream Processing
Build a High-Performance Crypto Rankings API with Go + Inngest + Redis in 25 Minutes
dev.to·1d·
Discuss: DEV
🔍BitFunnel
🧠 My First Rosetta Stone: When OrKa Proved AI Can Think Structurally
dev.to·2d·
Discuss: DEV
⚡Proof Automation
From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge
arxiv.org·3d
⟷Bidirectional Programming
Machine Learning Fundamentals: active learning with python
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Improving Stochastic Cubic Newton with Momentum
arxiv.org·23h
🧠Machine Learning
Scaffolding Dexterous Manipulation with Vision-Language Models
arxiv.org·2d
🤖Advanced OCR
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
arxiv.org·2d
🕸️Graph Algorithms
Self-Adapting Language Models: The Future of AI That Learns to Learn
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
arxiv.org·23h
🧠Machine Learning
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
arxiv.org·23h
💻Local LLMs
Pair Programming against Agentic Dementia
dev.to·3d·
Discuss: DEV
⚡Effectful Programming