Python is adding Zstandard to the standard library in 3.14
discuss.python.org·19h·
Discuss: Hacker News
🪄Macros
Predictive Coding Light
nature.com·1d
🗺️Region Inference
Autoreview: The Dragon Hatchling – The Missing Link Between the Transformer and
arxiviq.substack.com·1d·
Discuss: Substack
🪜Recursive Descent
Show HN: Write deep learning code on your laptop and run it instantly on GPUs
aiengineering.academy·1d·
Discuss: Hacker News
🔀SIMD Programming
Seriously Testing LLMs
satisfice.com·1d
🎯Finite Automata
Built a small Rust-based LC-3 linter & formatter — feedback welcome!
reddit.com·3h·
Discuss: r/rust
🚂Cranelift Backend
hybstr — A header only hybrid compile-time & runtime string library that is compatible with c++17
github.com·14h·
Discuss: r/cpp
🪆Embedded DSLs
You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
arxiv.org·2h
📖Literate Programming
Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
arxiv.org·2h
✨Effect Inference
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
arxiv.org·2h
✨Gleam
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
arxiv.org·2h
🌱Minimal ML
Advanced Vulkan Rendering: Building a Modern Frame Graph and Memory Management System
dev.to·17h·
Discuss: DEV
🌊Dataflow Languages
Detecting Invariant Manifolds in ReLU-Based RNNs
arxiv.org·2h
🪜Recursive Descent
From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models
arxiv.org·2h
⚡Partial Evaluation
The Secret to Efficient RAG: A Step-by-Step Guide to Chunking and Counting Your Vectors
dev.to·4d·
Discuss: DEV
🚀Tokenizer Performance
🤖 Edenred Invoice Assistant – Serverless AI Chatbot for Invoice & Payment Support
dev.to·6h·
Discuss: DEV
📡Erlang BEAM
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
arxiv.org·2h
🎭Program Synthesis
Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
arxiv.org·2h
🪜Recursive Descent
Mixture of Experts Implementation using Granite4: Harnessing Specialization with the Latest Granite Family Model
dev.to·1d·
Discuss: DEV
🔍ML Language
Adaptive AI: Neural Networks That Learn to Conserve
dev.to·2d·
Discuss: DEV
🗺️Region Inference