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🔗 Combinatory Logic

SKI Combinators, Point-free Programming, Lambda Elimination, Church Encoding

How Go 1.24 Swiss Tables saved us hundreds of gigabytes
datadoghq.com·1d·
Discuss: Lobsters, Hacker News
🧠Memory Allocators
Usage Rules: Leveling the Playing Field for AI-Assisted Development
zachdaniel.dev·2h·
Discuss: Hacker News
⚡Proof Automation
Dendritic Learning: open-source upgrade to PyTorch based on modern neuroscience
github.com·4h·
Discuss: Hacker News
🤖Grammar Induction
Enabling Rapid Genomic Analysis with Illumina Dragen on Amazon EC2 F2 Instances
aws.amazon.com·2d·
Discuss: Hacker News
⚙️Compression Benchmarking
Urban Green Governance: IoT-Driven Management and Enhancement of Urban Green Spaces in Campobasso
arxiv.org·1d
⚡Incremental Computation
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
arxiv.org·3d
📊Learned Metrics
Sparse Autoencoders Can Capture Language-Specific Concepts Across Diverse Languages
arxiv.org·2d
💻Local LLMs
Thought Purity: Defense Paradigm For Chain-of-Thought Attack
arxiv.org·1d
🛡️Proof-Carrying Archives
On the Limitations of Large Language Models (LLMs): False Attribution
arxiv.org·16h
📝ABNF Extensions
Hierarchical Modeling (H-Nets)
cartesia.ai·3d·
Discuss: Hacker News
🌀Hyperbolic Geometry
Build real-time travel recommendations using AI agents on Amazon Bedrock
aws.amazon.com·4h
🔃Feed Algorithms
Python Fundamentals: cassandra-driver
dev.to·7h·
Discuss: DEV
🔀CRDT
From Entity SEO to LLM Discoverability: How 1st.Partners Builds Affiliate Infrastructure for the AI Era
dev.to·11h·
Discuss: DEV
📰Content Curation
VITA: Vision-to-Action Flow Matching Policy
arxiv.org·16h
🔲Cellular Automata
Beyond Single Models: Enhancing LLM Detection of Ambiguity in Requests through Debate
arxiv.org·1d
📝ABNF Parsing
Robust Beamforming Design for Secure Near-Field ISAC Systems
arxiv.org·16h
ℹ️Information Theory
Deploy a full stack voice AI agent with Amazon Nova Sonic
aws.amazon.com·4h
🌊Streaming Systems
sync.Once — Go's simple pattern for safe one-time execution.
dev.to·1d·
Discuss: DEV
🔄Lens Laws
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
arxiv.org·16h
🧠Intelligence Compression
[D] Signal/Info Processing Vs. ML Specializations in Master-Level Programs
reddit.com·12h·
Discuss: r/MachineLearning
🧠Machine Learning
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