Fast and Simple Rust Interner
matklad.github.io·8h
🦀Rust Verification
About our proof-of-concept LLM tool for navigating Debian's manpages
gwolf.org·1d
🦀Rust Macros
WiSec 2025 Spotlight: Security in the Inaudible World
esat.kuleuven.be·2d
📡Bluetooth Archaeology
Exposing the Unseen: Mapping MCP Servers Across the Internet
knostic.ai·3h·
Discuss: Hacker News
🏺Kerberos Archaeology
Run a server at home using Raspberry Pi and Tunnelmole
softwareengineeringstandard.com·8h·
Discuss: Hacker News
🔌Single Board PC
Supervised Fine Tuning on Curated Data Is Reinforcement Learning
independentresearch.ai·1h·
Discuss: Hacker News
📊Feed Optimization
ChatGPT is not AI
newsletter.techworld-with-milan.com·1d·
Discuss: Hacker News
🎙️Whisper
Sparse Identification of Nonlinear Dynamics with Conformal Prediction
arxiv.org·1d
🧮Kolmogorov Bounds
Dynamic Inventory Optimization with Censored Demand
towardsdatascience.com·3d
🧮Kolmogorov Bounds
Dual-Numbers Reverse AD for Functional Array Languages
arxiv.org·12h
📊APL Heritage
Negativity drives online news consumption – Nature Human Behaviour
nature.com·3h·
Discuss: Hacker News
📰RSS Archaeology
Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation
arxiv.org·1d
🧠Machine Learning
Advanced PDF Optimization Techniques - 1752612
dev.to·2d·
Discuss: DEV
📝Text Compression
Monotone weak distributive laws over the lifted powerset monad in categories of algebras
arxiv.org·12h
🧮Algebraic Archives
Efficient Triple Modular Redundancy for Reliability Enhancement of DNNs Using Explainable AI
arxiv.org·3d
🧠Intelligence Compression
Rethinking Distributed Computing for the AI Era
cacm.acm.org·1d
⚡Incremental Computation
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
arxiv.org·12h
🧠Intelligence Compression
Language Models for Adult Service Website Text Analysis
arxiv.org·2d
📝Text Parsing
Mitigating Object Hallucinations via Sentence-Level Early Intervention
arxiv.org·1d
👂Psychoacoustic Coding
AI Video Descriptions for Social Media Engagement
dev.to·1d·
Discuss: DEV
🧭Content Discovery