GoMem is a high-performance memory allocator library for Go
github.comยท1d
๐Ÿง Memory Allocators
Eon โ€“ An Effects-Based OCaml Nameserver
ryan.freumh.orgยท3hยท
๐ŸŒDNS Security
I played 1k hands of online poker and built a web app with Cursor AI
blog.rchase.comยท2dยท
Discuss: Hacker News
๐Ÿš€Indie Hacking
Evaluating Gemini 2.5 Deep Think's math capabilities
epoch.aiยท23hยท
Discuss: Hacker News
๐ŸŽฏPerformance Proofs
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.toยท15hยท
Discuss: DEV
โš™๏ธProof Engineering
Statistical Analysis Using NumPy and SciPy: A Practical Guide
dev.toยท3dยท
Discuss: DEV
๐Ÿ“Linear Algebra
Enhancing Vector Signal Generator Accuracy with Adaptive Polynomial Regression Calibration
dev.toยท1dยท
Discuss: DEV
๐Ÿ“กAudio Modulation
Spectral Graph Clustering under Differential Privacy: Balancing Privacy, Accuracy, and Efficiency
arxiv.orgยท2d
๐Ÿ“ˆSpectral Graph Theory
Can Risk-taking AI-Assistants suitably represent entities
arxiv.orgยท1d
๐Ÿ”—Constraint Handling
CaRT: Teaching LLM Agents to Know When They Know Enough
arxiv.orgยท1d
๐Ÿ”ฒCellular Automata
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท15hยท
Discuss: DEV
๐Ÿ“ŠMulti-vector RAG
Automated Performance Appraisal System Calibration via Bayesian Hyperparameter Optimization
dev.toยท1dยท
Discuss: DEV
๐Ÿง Intelligence Compression
A small number of samples can poison LLMs of any size
dev.toยท1dยท
Discuss: DEV
๐Ÿ’ปLocal LLMs
Exponential Error Bounds for Information Bottleneck Source Coding Problems
arxiv.orgยท1d
๐Ÿ“Compression Bounds
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
arxiv.orgยท1d
๐ŸงฎTheorem Proving
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.orgยท4d
๐ŸŽฏPerformance Proofs
On the Relationship Between the Choice of Representation and In-Context Learning
arxiv.orgยท1d
๐Ÿ“ŠLearned Metrics
Automated Spectral Anomaly Detection via Hyperdimensional Pattern Mapping in Transient Absorption Spectroscopy
dev.toยท1dยท
Discuss: DEV
๐ŸŒˆSpectroscopy
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท7hยท
Discuss: DEV
๐Ÿ“ŠMulti-vector RAG