InferenceMAX: Open-Source Inference Benchmarking
newsletter.semianalysis.com·20h·
Discuss: Hacker News
🏗️LLM Infrastructure
Explicit Lossless Vertex Expanders!
gilkalai.wordpress.com·9h
🔬RaBitQ
(Forward) automatic implicit differentiation in Rust with num-dual 0.12.0
reddit.com·3h·
Discuss: r/rust
🎭Rust Macros
OpenAI’s newly launched Sora 2 makes AI’s environmental impact impossible to ignore
theconversation.com·22h
🆕New AI
GoMem is a high-performance memory allocator library for Go
github.com·16h
🧠Memory Allocators
Trillion-Scale Goldbach Verification on Consumer Hardware -novel Algorithm [pdf]
zenodo.org·19h·
Discuss: Hacker News
🔐Cryptography
GCC Patches Posted For C++26 SIMD Support
phoronix.com·8h
⚡SIMD
Intel Bets Recovery on Panther Lake AI Chip as Foundry Bleeds Billions - Decrypt
news.google.com·19h
💻Chips
Lenovo LOQ 15 review: A speedy budget laptop with one big flaw
nordot.app·2h
🧰Framework
Assuring Agent Safety Evaluations By Analysing Transcripts
lesswrong.com·9h
🏆LLM Benchmarking
Looking at my Arduino
boswell.bearblog.dev·2h
🖥️Hardware Architecture
NVIDIA Blackwell Raises Bar in New InferenceMAX Benchmarks, Delivering Unmatched Performance and Efficiency
blogs.nvidia.com·19h
📊Model Serving Economics
Multi-Core By Default
rfleury.com·17h·
Discuss: Lobsters, Hacker News
🧵Concurrency
AI-powered high-throughput digital colony picker platform for sorting microbial strains by multi-modal phenotypes
nature.com·9h
🔬Chip Fabrication
Senate Passes AI Chip Export Limits on Nvidia, AMD to China
bloomberg.com·16h·
Discuss: Hacker News
📜Semiconductor Policy
Trusted Execution Environments? More Like "Trust Us, Bro" Environments
libroot.org·1h·
Discuss: Hacker News
🔐Hardware Security
Neuro-Symbolic AI
en.wikipedia.org·4h·
Discuss: Hacker News
🧠LLM Inference
Learning Unity + C# game development — which local LLM model and settings should I use in LM Studio (CUDA)?
reddit.com·16h·
Discuss: r/LocalLLaMA
🏗️LLM Infrastructure
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·23h·
Discuss: Hacker News
🏗️LLM Infrastructure
MECE — The AI Principle You’ll Never Stop Using After Reading This
pub.towardsai.net·8h
🔍AI Interpretability