Benchmark: Spark vs. Ray Data vs. Daft on Multimodal Workloads
daft.ai·3d·
Discuss: Hacker News
🗺️Region Inference
Anthropic Says Claude Sonnet 4.5 Is World's Best Coding Model
i-programmer.info·15h
✨Gleam
A Global Mining Dataset
tech.marksblogg.com·21h·
Discuss: Hacker News
📈Earley Parsing
A grand week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
🧩Constraint Solvers
The Art of Abstraction — Polymorphic Memory Allocator
unboxthecat.medium.com·5h·
Discuss: r/cpp
🏗️Custom Allocators
From Autocomplete to Agents: Mapping the Design Space of AI Coding Assistants
oreilly.com·21h
🎭Program Synthesis
Generative AI finds antimicrobial peptides against multidrug-resistant bacteria
nature.com·2d·
Discuss: Hacker News
🗺️Region Inference
GPU Instanced Grass Breakdown
cyanilux.com·45m·
Discuss: Hacker News
🏗️Custom Allocators
LongCat-Flash-Chat: Powerful Open-Source AI for 2025
digitalocean.com·1d
💬Smalltalk VMs
Detecting Notational Errors in Digital Music Scores
arxiv.org·1d
🔍Text Indexing
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
arxiv.org·4h
🎭Program Synthesis
The Secret to Efficient RAG: A Step-by-Step Guide to Chunking and Counting Your Vectors
dev.to·5d·
Discuss: DEV
🚀Tokenizer Performance
Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
arxiv.org·4h
🪜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
Rare Text Semantics Were Always There in Your Diffusion Transformer
arxiv.org·4h
📋S-Expression
Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
arxiv.org·4h
🪜Recursive Descent
Optimizing Long-Form Clinical Text Generation with Claim-Based Rewards
arxiv.org·1d
💬Interactive REPLs
Multi-Modal Oral Cancer Detection Using Weighted Ensemble Convolutional Neural Networks
arxiv.org·4h
⚖️Weighted Automata
Investigating LLM Variability in Personalized Conversational Information Retrieval
arxiv.org·4h
🏗️MLIR