Evaluation of joint reliability of linear two-dimensional consecutive <math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si449.svg" display="inline" i...
sciencedirect.com·10h
🚂Error Propagation
Letters
lrb.co.uk·6h
📚Factor
Getting Started With Elixir and Phoenix, a JS Alternative
thenewstack.io·10h
⚡Live Coding
Mastering SVM in R: Classification, Kernels & Model Tuning
p2w2.com·17h·
Discuss: DEV
🔢Algebraic Datatypes
Basic Consequences: On Information And Agency
3quarksdaily.com·1d
💫Effect Systems
Linkage
11011110.github.io·2d
🧮Combinator Calculus
PHP: A fractal of bad design (2012)
eev.ee·1d·
Discuss: Hacker News
🔄Bootstrapping
Verlog: A Multi-turn RL framework for LLM agents
blog.ml.cmu.edu·2d
🎭Erlang OTP
Coco – Solving the Expression Problem in Standard OO (Java, C#, Scala, ..)
drops.dagstuhl.de·6d·
Discuss: Hacker News
🔮Type Inference Visualization
Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
arxiv.org·19h
🪜Recursive Descent
Show HN: Chibi Izumi, staged dependency injection for Python
github.com·1h·
Discuss: Hacker News
🪆Embedded DSLs
Today we’re releasing research with @apolloaievals.
threadreaderapp.com·6h
🚂Error Propagation
Shipping a Lean DDD-Friendly Inventory API in Laravel 12
dev.to·4h·
Discuss: DEV
✅Configuration Validation
LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems
arxiv.org·1d
🔍ML Language
**5 Go Database Performance Patterns That Cut Response Times by 70%**
dev.to·14h·
Discuss: DEV
🌍HTTP Servers
How we built a flywheel to steadily improve security for Amazon RDS
aws.amazon.com·4h
🛡️Security Type Systems
Fortress AI: Zero-Knowledge Proofs for Unhackable Distributed Learning by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🧩SAT Solvers
**Automated Geospatial Source Tracing: Predictive Analytics via Bayesian Spatio-Temporal Fusion**
dev.to·5h·
Discuss: DEV
✨Effect Inference
Custom Prime-Based Key-Driven Encryption with Modulus Patterns
dev.to·8h·
Discuss: DEV
🔗Hash Functions
SAT Solvers Get a Brain Boost: LLMs Unleash Optimized Heuristics on Demand by Arvind Sundararajan
dev.to·4h·
Discuss: DEV
🎯Constraint Solving