iLLM-A*: Hybrid AI to speed up path planning by a factor of 1000
heise.de·1d
🕸️Graph Algorithms
Qt 6.10 Released!
qt.io·1d·
Discuss: Lobsters, Hacker News, r/cpp, r/linux, r/programming
🏛️Elm Architecture
Adversary TTP Simulation Lab
infosecwriteups.com·1d
🛡️Taint Analysis
Everything Is Model[S]
morphllm.com·2d·
Discuss: Hacker News
⚡Partial Evaluation
What happened to Longcat models? Why are there no quants available?
huggingface.co·2d·
Discuss: r/LocalLLaMA
✨Gleam
Property-based testing of batch-invariant operations
mmaaz.ca·2d·
Discuss: Hacker News
🎲Property Testing
Functional Programming Shaped (and Twisted) Front End Development
alfy.blog·4d·
Discuss: Hacker News, r/programming
🏛️Elm Architecture
Building Resilient Operations Through ITIL-Based Incident Management
hackernoon.com·1d
🔧Error Recovery
Crafting Your KotlinConf Proposal: Expert Tips to Help You Stand Out
blog.jetbrains.com·2h
💬Error Message Design
Your Next Tool: Web Components
dev.to·2d·
Discuss: DEV
📋Template Compilers
D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
arxiv.org·14h
🌱Minimal Interpreters
Beyond-env-A-Grown-Ups-Guide-to-Application-Configuration
dev.to·22h·
Discuss: DEV
✅Configuration Validation
Supervising an AI Engineer: Lessons from 212 Sessions
dev.to·1d·
Discuss: DEV
🎭Program Synthesis
FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
arxiv.org·1d
🔍ML Language
Improving Metacognition and Uncertainty Communication in Language Models
arxiv.org·14h
🪜Recursive Descent
hybstr — A header only hybrid compile-time & runtime string library that is compatible with c++17
github.com·2d·
Discuss: r/cpp
🪆Embedded DSLs
Causal Abstractions, Categorically Unified
arxiv.org·1d
💫Effect Systems
Domain-Driven Design: Turbocharge video processing
dev.to·1d·
Discuss: DEV
🎨Domain-Specific Languages
The Debate on RLVR Reasoning Capability Boundary: Shrinkage, Expansion, or Both? A Two-Stage Dynamic View
arxiv.org·1d
💫Effect Systems
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.org·1d
🌱Minimal ML