Acer CEO gives insight into 'operational headaches' from NVIDIA and Intel x86 CPU deal
tweaktown.com·15h
🔮Speculative Execution
How to Improve the Efficiency of Your PyTorch Training Loop
towardsdatascience.com·5d
🏗️CPU Architecture
Claude Code sucks but is still useful: experiences maintaining Julia’s SciML scientific computing infrastructure
stochasticlifestyle.com·1d
🌳Tree Shaking
Opti's Claude 4.5 Sonnet "vibe coding" report
stacker.news·2d
🔬Nanopasses
GPT-5-Codex is a better AI researcher than me
seangoedecke.com·15h·
Discuss: Hacker News
🌱Minimal ML
Are there any self-hosted AI SRE tools?
bobbytables.io·16h·
Discuss: r/devops
🛡️Error Ergonomics
Notes on "Homology, Genes and Evolutionary Innovation"
lesswrong.com·2h
🔗Category Theory
# Building Production-Ready LLM Applications: Introducing llama-app-generator
dev.to·21h·
Discuss: DEV
📋Tablegen
Your-Error-Handling-is-a-Mess-and-Its-Costing-You-💸
dev.to·10h·
Discuss: DEV
🚂Error Propagation
A Conformal Prediction-Based Chance-Constrained Programming Approach for 24/7 Carbon-Free Data Center Operation Scheduling
arxiv.org·11h
📋Task Queues
Guide to Improving Developer Experience
swarmia.com·1h·
Discuss: Hacker News
🎮Language Ergonomics
On The Fragility of Benchmark Contamination Detection in Reasoning Models
arxiv.org·1d
✅Type Checking
This AI Agent Fixes Security Bugs Automatically (While Senior Devs Sleep)
dev.to·7h·
Discuss: DEV
⚡Live Coding
Adaptive AI: Neural Networks That Learn to Conserve
dev.to·2d·
Discuss: DEV
🗺️Region Inference
Neon: Negative Extrapolation From Self-Training Improves Image Generation
arxiv.org·11h
✨Effect Inference
Built a small Rust-based LC-3 linter & formatter — feedback welcome!
reddit.com·12h·
Discuss: r/rust
🚂Cranelift Backend
Small Language Models for Emergency Departments Decision Support: A Benchmark Study
arxiv.org·11h
🌱Minimal ML
AI-Driven Predictive Maintenance of Compression Testing Machines via Multi-Modal Data Fusion & Semantic Parsing
dev.to·1d·
Discuss: DEV
🪜Recursive Descent
Panther Lake leaked: Intel’s new CPU series brings 12 models, but falls short of expectations
igorslab.de·1d
🔧RISC-V
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
arxiv.org·11h
🔍ML Language