📼 Tape Combinators

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

ML in the Home
blog.raymond.burkholder.net·3d
📈Time Series
Opportunity knocks: getting your house in order for the AI action plan
techradar.com·15h
🌊Stream Processing
AI Improves at Improving Itself Using an Evolutionary Trick
spectrum.ieee.org·17h
⚡Incremental Computation
Save your disk, write files directly into RAM with /dev/shm
hiandrewquinn.github.io·1d·
Discuss: Hacker News
🛠️Greaseweazle
Mastering Dijkstra's Algorithm in C++ with CXXGraph
medium.com·20h·
Discuss: Hacker News
📐E-graphs
[D] Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token?
reddit.com·3d·
Discuss: r/MachineLearning
💻Local LLMs
Next Generation of Red Teaming for LLM Agents
promptfoo.dev·10h·
Discuss: Hacker News
⚡Proof Automation
Multicontinuum Homogenization for Poroelasticity Model
arxiv.org·2h
🌀Differential Geometry
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
arxiv.org·3d
💻Programming languages
RL for Reasoning by Adaptively Revealing Rationales
arxiv.org·3d
🤖Grammar Induction
RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
arxiv.org·3d
⧗Information Bottleneck
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
arxiv.org·2h
🎯Dependent Parsing
Python Fundamentals: asyncio
dev.to·17h·
Discuss: DEV
🌊Stream Processing
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·3d
🧠Machine Learning
Machine Learning Fundamentals: active learning tutorial
dev.to·1d·
Discuss: DEV
🎛️Feed Filtering
Computer Vision based Automated Quantification of Agricultural Sprayers Boom Displacement
arxiv.org·1d
🏺Computational Archaeology
Data Types, Data Structures, and Abstract Data Types – What’s the Difference
dev.to·2h·
Discuss: DEV
🧮Algebraic Datatypes
Machine Learning Fundamentals: active learning with python
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Performance improvement of spatial semantic segmentation with enriched audio features and agent-based error correction for DCASE 2025 Challenge Task 4
arxiv.org·2h
🎵Audio ML
"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
arxiv.org·2h
🎯Threat Hunting