Turing, Wagner, Ruth
blog.computationalcomplexity.org¡1d¡
Discuss: blog.computationalcomplexity.org
📐Mathematical Art
Historical highlights?
logicmatters.net¡3d
🔀Category Theory
How Go 1.24 Swiss Tables saved us hundreds of gigabytes
datadoghq.com¡20h¡
Discuss: Lobsters, Hacker News
🧠Memory Allocators
A distributed systems reliability glossary
antithesis.com¡3d¡
Discuss: Lobsters, Hacker News, r/programming
✅Archive Fixity
What can we expect of LLMs as Software Engineers?
chelseatroy.com¡3d¡
Discuss: Hacker News
📝Text Parsing
Enabling Rapid Genomic Analysis with Illumina Dragen on Amazon EC2 F2 Instances
aws.amazon.com¡2d¡
Discuss: Hacker News
⚙ī¸Compression Benchmarking
Urban Green Governance: IoT-Driven Management and Enhancement of Urban Green Spaces in Campobasso
arxiv.org¡1d
⚡Incremental Computation
Sparse Autoencoders Can Capture Language-Specific Concepts Across Diverse Languages
arxiv.org¡2d
đŸ’ģLocal LLMs
Machine Learning Fundamentals: dimensionality reduction example
dev.to¡2d¡
Discuss: DEV
📐Vector Dimensionality
Thought Purity: Defense Paradigm For Chain-of-Thought Attack
arxiv.org¡1d
🛡ī¸Proof-Carrying Archives
I've been coding with AI for two years. Here is what I've learned
nathanpeck.com¡1d¡
Discuss: Hacker News
💾Persistence Strategies
On the Limitations of Large Language Models (LLMs): False Attribution
arxiv.org¡12h
📝ABNF Extensions
Hierarchical Modeling (H-Nets)
cartesia.ai¡2d¡
Discuss: Hacker News
🌀Hyperbolic Geometry
Python Fundamentals: cassandra-driver
dev.to¡3h¡
Discuss: DEV
🔀CRDT
The Age of Self-Evolving AI Is Here
towardsdatascience.com¡14h
⚡Incremental Computation
From Entity SEO to LLM Discoverability: How 1st.Partners Builds Affiliate Infrastructure for the AI Era
dev.to¡7h¡
Discuss: DEV
📰Content Curation
VITA: Vision-to-Action Flow Matching Policy
arxiv.org¡12h
🔲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¡12h
ℹī¸Information Theory
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
arxiv.org¡12h
🧠Intelligence Compression