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How to read complex C declarations with the right-left rule
A May 31, 2026 publication explains the right-left rule through a C declaration combining arrays, pointers, and functions.
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Measuring scale and cost in RL experiments
A post published on April 18, 2026, compares scaling laws for pre-training and reinforcement learning, highlighting sampling and policy-update costs and evaluation challenges.
Reducing synchronization in multithreaded systems
A post published on February 27, 2026 argues that minimizing synchronization, while handling necessary coordination correctly, can help preserve the performance benefits of concurrent execution.
Making Linux Kernel builds reproducible and observable
An article published on December 25, 2025, covers Linux Kernel configuration, build systems, compilation, and the bootloader steps through to a running system, with a practical workflow for a large C codebase.
How a debugger works internally: an eight-part series
A blog series published on June 3, 2026, traces the creation of a debugger, from connecting to a process to working with source code and symbols.
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Gradient compression cuts network demand in pretraining
A post published on December 23, 2025, reports using gradient compression in pretraining while maintaining high efficiency with one quarter of the stated network bandwidth.
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DAPO reports GRPO improvement on AIME, from 30% to 50%
In a paper published on March 1, 2026, DAPO reports that standard GRPO scored 30% on AIME in its experiments, while adding some techniques raised the result to 50%.
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From Numba to Triton: a practical path to GPU programming
Published on December 12, 2025, the publication presents a Jupyter notebook that teaches GPU programming with Numba and progresses to writing kernels with Triton.
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DEER proposes diffusion drafts to accelerate LLM inference
A publication dated December 18, 2025 describes DEER, which drafts tokens with diffusion models and verifies them with autoregressive models. The text claims up to 5.54× faster inference without quality loss.
Ten C projects to strengthen systems programming
A publication dated April 11, 2026 presents ten C projects, from a memory allocator to a mini debugger, in increasing order of difficulty.
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DFlash and DDTree run Qwen3.6-27B on one RTX 3090
A post dated April 23, 2026 reports 73 tokens per second with speculative decoding on a single RTX 3090 and identifies architectural compatibility as a factor in running the model.
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Progressive distillation for improving VLMs
In a post published on January 4, 2026, the author describes the Masters framework and reports gains on two vision-language models using an approach intended to avoid the computational cost of online RL.
From C and C++ code to an executable: compilation stages
Published on December 24, 2025, the publication describes how preprocessing, compilation, assembly, and linking turn C and C++ code into an executable.
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DroPE extends context without long-context fine-tuning
In a post published on January 12, 2026, DroPE removes positional embeddings after training and uses brief calibration to extend context. The post reports gains over baselines in 16k retrieval and question answering for models up to 7B.
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.
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.
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.
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FinePdfs publishes resources for PDF OCR
On October 20, 2025, FinePdfs published source code, labeled datasets, and a classifier designed for PDF OCR workflows.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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AI may discover reinforcement learning algorithms
A Nature article published on October 28, 2025, reports autonomous discovery of reinforcement learning algorithms and points to a potential new approach for engineers.
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Iceberg broadens vector search evaluation
On December 21, 2025, researchers from Alibaba and partners presented Iceberg, a suite with eight datasets that evaluates vector search through its effects on downstream tasks, beyond recall and latency.
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Local inference: performance and power on an RTX 3090
Tests of eight local LLMs on one RTX 3090 compared throughput and energy efficiency at power limits ranging from 100 W to 450 W.
IPUs and small batches: cost versus ease of use
A post published on December 29, 2025 describes Graphcore IPUs as massively parallel accelerators suited to small batches, and says used units may cost little but can be difficult to use.
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Kascade speeds inference with sparse attention
Published on December 24, 2025, the paper describes a training-free method that reuses key patterns across layers. It reports up to 4.1× faster generation and 2.2× faster prefill on H100 GPUs.
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LaSeR explores last-token rewards for LLMs
In a post published on October 19, 2025, Tencent presents LaSeR, a reinforcement learning algorithm that aligns last-token scores with real rewards and uses one extra token inference.
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LeJEPA: SIGReg chunks cut VRAM use and runtime
A report published on March 4, 2026 says splitting 256 SIGReg slices into chunks of 32 used eight times less VRAM and finished faster on a 4090 MaxQ GPU.
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LeWorldModel: a compact JEPA trained from pixels
A May 9, 2026 publication describes a 15-million-parameter JEPA trained end to end on raw pixels and reports planning up to 48 times faster than foundation-model-based world models on control tasks.
Linux Device Drivers and hardware communication
A post published on May 25, 2026 recommends Linux Device Drivers as an introduction to communication between the Linux kernel and hardware, for readers with some C and Unix system-call knowledge.
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LMCache reuses KV cache across GPU, CPU and disk
On January 30, 2026, the description of the open-source LMCache project presented an LLM-serving extension that reuses KV states across GPUs, CPUs and local disks, including repeated text chunks beyond prefixes.
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LoRA as memory: evaluating data and rank
A post dated March 4, 2026 summarizes a study of how knowledge memory stored by LoRA scales and saturates with rank. QA and summaries produced more memory per token than raw passages.
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MaxRL proposes another approach to RL with binary rewards
Published on February 9, 2026, the post describes MaxRL and reports up to 20 times greater test-time efficiency than GRPO.
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Microsoft describes long-audio transcription with speaker diarization
An article published on March 2, 2026 describes a model that Microsoft says transcribes up to 60 minutes of audio in one pass and supports more than 50 languages.
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Looped models: scaling and practical evaluation
An article dated October 30, 2025 reports training looped language models with 2.6 billion parameters and more than 7 trillion tokens, with performance comparable to models two to three times larger.
Modernizing C++ with clear safety criteria
Published on February 27, 2026, the publication recommends a book by four authors on when to adopt or avoid modern C++ features—a starting point for reviewing engineering standards.
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