AI and infrastructure news
- C and C++Paper
ELF on Linux: structuring binary analysis
Published on April 1, 2026, the publication about the ELF specification describes the format used for Linux executables, object files, shared libraries, and core dumps.
- C and C++Post
ELF on Linux: inspecting and diagnosing executables
Published on January 27, 2026, the guide introduces ELF, the format used for Linux executables, and explains that understanding it helps engineers inspect and diagnose these files.
- C and C++Post
Understanding processors starts with assembly basics
On May 13, 2026, a post by Kay Lack recommended “Just Enough Assembly to Blow Your Mind” as an introduction to what a processor is doing. Companies can use this idea to support engineering team development.
- C and C++Article
Floating-point errors in C++: detection and performance
An article published on February 18, 2026 compares manual checks, sticky bits, and hardware traps for detecting floating-point errors in C++, considering their effects on correctness and runtime performance.
- C and C++Article
Linux schedulers: investigating system performance
Linux kernel documentation, published on May 30, 2026, describes the schedulers available in the kernel and provides a reference for investigating process scheduling and system performance.
- CUDA and GPU programmingArticle
Tile scheduling in CuTeDSL and persistent kernels
A post published on May 15, 2026, presents StaticPersistentTileScheduler in CuTeDSL and its usefulness for organizing persistent kernels.
- C and C++Article
Structure packing in C: memory layout and padding
Eric S. Raymond published the article “The Lost Art of Structure Packing”, on arranging the fields of C structures and memory layout. Wendelmaques shows how to audit and control that layout in production systems.
- AI agentsPaper
Controlled evolution for algorithmic code optimization
A January 14, 2026 article presents an iterative code evolution method evaluated on EffiBench-X, using diverse strategies, feedback-guided mutations, and experience across tasks.
- SecurityArticle
Secure deletion depends on the storage medium
Peter Gutmann’s 1996 article discusses data remanence and the limits of overwriting magnetic and solid-state storage, underscoring why sanitization methods should account for the medium.
- Reinforcement learningArticle
Exploration in RL for training LLMs on hard tasks
A CMU blog post published on January 31, 2026 describes three exploration regimes and the risks of stagnation and interference in reinforcement learning.
- C and C++Article
C extensions and portability across compilers
An article published on May 25, 2026, discusses C extensions and alternative compilers, noting how non-standard behavior can affect portability.
- CUDA and GPU programmingArticle
Linux GPU module flaws raise local security risks
On November 8, 2025, Quarkslab described two bugs in Linux kernel GPU modules, exploitable by a local unprivileged process.
- SecurityProject
C2 feeds can enrich corporate security defenses
Published on May 11, 2026, the C2IntelFeeds repository gathers indicators of suspicious and verified infrastructure generated through large-scale internet scans.
- C and C++Article
Fibers and runtime stack expansion
In an article published on March 4, 2026, Raymond Chen discusses using fibers to expand a thread's stack at runtime; part one covers the simple return-value case.
- C and C++Post
Fil-C targets memory safety for C/C++ builds
A publication dated April 22, 2026 describes a compiler for C/C++ projects that halts execution when it detects memory errors and may require alternatives to direct assembly calls.
- OCR and document AIPost
FinePdfs publishes resources for PDF OCR
On October 20, 2025, FinePdfs published source code, labeled datasets, and a classifier designed for PDF OCR workflows.
- HardwareArticle
Firefly AIBOX-K3 brings RISC-V to industrial edge computing
A May 12, 2026 publication describes an industrial edge AI computer with an 8+8-core RISC-V SoC, up to 32 GB of RAM, and up to 512 GB of UFS storage.
- Speech: TTS and ASRProject
FireRedVAD: voice detection in over 100 languages
The FireRedVAD repository describes voice activity and audio event detection, with stated support for over 100 languages. Learn how to assess its integration into speech pipelines.
- SecurityArticle
HDD and SSD firmware: analysis and operational security
Published on May 27, 2026, the post describes a series covering HDD and SSD firmware dumps, reverse engineering, modification, and JTAG debugging.
- Attention and model architecturePost
FlashAttention-4 targets optimization on Blackwell GPUs
A publication dated March 11, 2026 describes new pipelines, reformulated calculations, and memory optimizations for attention workloads on Blackwell GPUs.
- CUDA and GPU programmingPost
FlashAttention in CuPy/CUDA: implementation and performance
A project published on March 1, 2026 implements FlashAttention with tiling and online softmax, without materializing the NxN score matrix; it reports mathematical verification but no speedup over cuBLAS.
- LLM inferencePaper
Fluxion proposes hybrid sparse attention for long-context inference
Published on May 11, 2026, the article presents a hybrid sparse-attention system for long-context inference using CPU–GPU parallelism.
- LLM inferencePost
DS4 fork enables tensor-parallel inference across multiple machines
Published on June 9, 2026, a fork of the antirez/ds4 repository adds support for combining tensor parallelism with node roles to distribute inference across multiple machines and GPUs.
- C and C++Paper
ELF format: organize binary analysis
Published on February 28, 2026, the specification documents the ELF format used for executables and object files. Companies can apply this knowledge to inventory binaries and improve analysis tools.
- Attention and model architecturePost
Activation functions as a target for automated research
A February 7, 2026 publication reports using AlphaEvolve to explore activation functions as part of broader research into new model architectures.
- Attention and model architecturePaper
GATs weigh the importance of graph neighbors
The 2018 ICLR paper presents networks that assign weights to connected neighbors. The February 12, 2026 publication highlights the approach as an option to compare for graph-data tasks.
- HardwareArticle
Gigabyte announces X870 motherboard with a 5-inch LCD
On November 7, 2025, Gigabyte announced the X870 AORUS XTREME X3D AI TOP motherboard, which includes a 5-inch LCD. Companies can assess its fit for hardware upgrade plans.
- CUDA and GPU programmingArticle
Blackwell GPU: what its architecture means for your workloads
An article published on March 3, 2026 examines the Blackwell GPU and relates it to NVIDIA’s tradition of building large GPUs. The topic can help teams assess hardware requirements for their workloads.
- HardwareArticle
GPU Direct Storage and the data bottleneck in GPU workloads
An article published on May 23, 2026, reports plans to bring GPU Direct Storage to the Vera Rubin platform and identifies CPU-managed storage I/O as a bottleneck in data-intensive workloads.
- Reinforcement learningArticle
GRPO with 380K context on a 192 GB GPU
On January 15, 2026, Unsloth documentation described long-context GRPO fine-tuning and stated that its batching algorithms enable 380K context for gpt-oss on a 192 GB GPU.
- Training and fine-tuningArticle
GRPO with verifiable rewards: how to test the method
Published on January 31, 2026, a chapter of Build a Reasoning Model (From Scratch) introduces GRPO from the ground up for reinforcement learning with verifiable rewards.
- Training and fine-tuningArticle
Using GRPO to extract receipt data as JSON
An article published on May 4, 2026 presents a GRPO fine-tuning workflow for extracting data from receipts with OCR and structuring it as JSON.
- Training and fine-tuningPost
GRPO: a parameter to investigate training stability
The INTELLECT-2 technical report, published on January 26, 2026, points to using delta=4.0 as a configuration to increase the stability of GRPO training.
- Training and fine-tuningPost
Training-Free GRPO Uses Memory of Experiences
A post dated February 14, 2026 describes a method that keeps the model frozen and consults textual memory of successful and unsuccessful rollouts. It claims performance comparable to fine-tuning with 100 examples.
- HardwareProject
Guide to creating a virtual iPhone
Published on February 25, 2026, the repository presents a guide to creating a virtual iPhone, a topic that may inform exploration of virtual mobile-device environments.
- C and C++Article
Generation counters for safer handle-based memory management
A post published on June 5, 2026, discusses handles as an alternative to pointers and describes using a per-slot generation counter to prevent collisions.
- CUDA and GPU programmingArticle
Inference hardware in 2026: cost per token and trade-offs
In an article published on February 28, 2026, Turing Post compares inference chips, including GPUs, a programmable LLM accelerator, and an approach that turns models into hardware, focusing on cost per token.
- LLM inferencePost
hf-mem estimates memory for new models
A publication dated February 17, 2026 presents a command-line tool for estimating memory requirements as model architectures change.
- CUDA and GPU programmingArticle
HPC++ automates C++ parallelization for CPUs and GPUs
Published on February 22, 2026, the post describes an LLVM-based framework that converts sequential C++ programs into parallel implementations for multicore CPUs and OpenCL-compatible GPUs.
- Attention and model architecturePaper
HybridGen proposes hybrid attention for long-context inference
A paper published on April 21, 2026 presents HybridGen, a framework coordinating attention between CPU and GPU with CXL memory for long-context language-model inference.
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