AI and infrastructure news
- Reinforcement learningPost
Ring-1T: three-stage training for a 1-trillion-parameter MoE
A post published on October 22, 2025 describes Ring-1T, a reasoning MoE model with 1 trillion parameters and about 50 billion active per token, trained in three stages.
- C and C++Article
SPSC ring buffers: synchronization and cache
A March 28, 2026 article examines optimizing an SPSC ring buffer, comparing mutexes, atomics, and cache-focused changes to reduce contention.
- Training and fine-tuningPost
Ring-linear 2.0: hybrid attention and FP8 optimization
In a post published on October 27, 2025, Ant Group describes two models combining linear and softmax attention and claims improved training efficiency with FP8 operators.
- CUDA and GPU programmingArticle
Agentic RL for generating high-performance CUDA kernels
A March 4, 2026 post presents CUDA Agent, a large-scale agentic reinforcement learning system for generating CUDA kernels, a task that requires specialized hardware knowledge.
- Reinforcement learningArticle
RL training systems: rollout challenges and pass@k results
An article published on December 21, 2025, covers rollout challenges in RL training and varied findings on pass@k performance.
- Reinforcement learningPaper
Multimodal RL: stability with a single rollout
A December 23, 2025 publication reports that advantage shaping with an entropy bonus stabilized a single-rollout approach to multimodal reinforcement learning.
- Reinforcement learningPost
Offline RL: Bayesian generalization in models
A post dated January 14, 2026, describes a paper exploring adaptive Bayesian generalization in model-based offline RL, using long-horizon rollouts to reduce conservative constraints.
- Reinforcement learningArticle
Online RL for HPC code generation with real-machine benchmarks
Published on February 15, 2026, the paper describes online reinforcement learning, rewarded by benchmarks on real machines, to improve HPC code generation. Runtime performance of generated code is not guaranteed.
- Reinforcement learningPost
RLAC proposes an adversarial critic for open-ended generation
In a post published on November 5, 2025, the RLAC approach reports greater factuality and better code scores, with fewer validation calls, data, and test cases.
- Reinforcement learningArticle
RLHF on AMD GPUs: deployment with ROCm 7.0
An AMD article published on March 2, 2026 describes using verl for RLHF training on AMD GPUs, with ROCm optimizations and Docker scripts, and presents throughput and convergence results.
- Reinforcement learningPost
RLoop alternates exploration and consolidation in RL
A post published on November 7, 2025 describes an iterative policy initialization strategy and reports gains on two evaluation metrics.
- Training and fine-tuningPaper
RobustMerge combines specialist MLLMs without retraining
Published on November 15, 2025, the post describes a method for combining multimodal models fine-tuned for specific tasks into a multitask model without further training.
- Attention and model architecturePost
ROME: segment-level credit for training agents
A February 10, 2026 publication describes ROME, a 3-billion-parameter model trained with segment-level rewards and structured code tasks, SFT, and RL.
- Training and fine-tuningArticle
RoPE and model architecture decisions
A post published on April 12, 2026 presents an article as an explanation of rotary positional embeddings (RoPE), for engineers studying positional encoding.
- RAG and retrievalPaper
RouteRAG adapts text and graph searches during reasoning
Published on December 15, 2025, the material describes a RAG framework using reinforcement learning to choose searches and penalize unnecessary retrieval.
- LLM inferencePost
RTX 3090: efficiency and throughput in local inference
Tests reported on May 9, 2026 compared a 27-billion-parameter model on an RTX 3090, varying concurrency and power limits.
- Reinforcement learningPaper
SA-RAG explores graph activation for evidence retrieval
Published on December 20, 2025, the paper presents SA-RAG, which propagates activation across weighted knowledge-graph connections to retrieve documents linked to relevant entities.
- Training and fine-tuningPost
SAM in mid-training may reduce forgetting during fine-tuning
A May 8, 2026 post says applying SAM during the final 10% of mid-training reduced forgetting by over 35% after fine-tuning or quantization.
- Reinforcement learningPaper
SAR as a reward signal for LLMs
A publication dated January 16, 2026 presents Self-Aligned Reward, compatible with PPO and GRPO, to pursue better reasoning with fewer tokens.
- Attention and model architectureProject
Scaled dot-product attention: from mechanism to practice
A post published on February 1, 2026 explains how queries, keys, and values guide token relevance and presents a notebook for implementing LLM and NLP systems from first principles.
- HardwareArticle
Seasonic announces 5,200 W CRPS power supply for Computex 2026
On May 28, 2026, Seasonic said it plans to present a 5,200 W CRPS power supply with 80 PLUS Ruby certification at Computex 2026.
- AI agentsPost
Self-Harness: agents improve their own harnesses
Published on June 10, 2026, the paper explores agents that analyze failures and propose small harness changes, retaining those that pass regression tests.
- AI agentsPost
Self-play for training software engineering agents
In a post published on December 23, 2025, Self-play SWE-RL alternates one agent between injecting and fixing bugs in real repositories, without human-labeled issues or tests.
- Reinforcement learningPost
Self-play for training code agents with real bugs
A publication dated December 26, 2025 describes Self-play SWE-RL, a method that trains an agent to insert and fix bugs in real repositories without human-labeled issues or natural-language problem descriptions.
- Attention and model architectureArticle
Sequential Attention aims for leaner models
On February 9, 2026, Google Research presented Sequential Attention, an approach that selects features or layers during training to seek faster, leaner models without sacrificing accuracy.
- LLM inferencePost
Serving MoE models with AWS EFA
On November 6, 2025, a Perplexity article described kernels for serving MoE models across AWS GPUs using EFA, without GPUDirect Async.
- Reinforcement learningPost
SETA launches 400 RL environments for terminal agents
On January 9, 2026, SETA announced training environments, an RL pipeline, and model weights for experiments with terminal agents.
- Training and fine-tuningPaper
Lower SFT learning rates may preserve general capabilities
A study published on October 23, 2025, reports that lower learning rates may retain LLMs’ general capabilities while maintaining specialized performance; it also presents the TALR method.
- Reinforcement learningPaper
SFT or reinforcement fine-tuning for continual post-training?
An article published on January 11, 2026 compares SFT and reinforcement fine-tuning in continual post-training of foundation models. Its title claims reinforcement fine-tuning naturally mitigates forgetting.
- SecurityArticle
SHA-2 collision attacks reach 39 steps
An article published on June 2, 2026 reports an improved search procedure for SHA-2 collisions and places the advance against earlier results of up to 37 steps.
- Training and fine-tuningPaper
SHINE generates LoRA adapters from context in one pass
Published on April 6, 2026, the paper presents a hypernetwork that maps contexts to LoRA adapters while reusing a language model's frozen parameters.
- SecurityPaper
Browser SSD side channel may reveal user activity
An article published on May 29, 2026 reports that SSD latency measurements through the browser's Origin Private File System can identify visited sites and detect launched desktop applications.
- C and C++Article
SIMD and Base64: assessing processing optimizations
Published on March 7, 2026, the article covers designing a SIMD algorithm from scratch, focusing on Base64, and presents an example for engineers.
- C and C++Video
SIMD in C++: high-speed data processing
A talk published on May 15, 2026, covers SIMD-accelerated JSON parsing, C++26 compile-time reflection, and text processing in browsers.
- RAG and retrievalPaper
Skill-RAG adapts retrieval to detected knowledge gaps
Published on April 20, 2026, the paper presents a method that detects potential knowledge gaps and routes queries to specialized retrieval strategies. It evaluates the approach on HotpotQA, Natural Questions, and TriviaQA.
- Reinforcement learningProject
slime v0.2.2 expands Int4-QAT and R3 support
Published on January 18, 2026, the slime v0.2.2 version announcement highlights memory and performance improvements, Int4-QAT training, and R3 support with DeepEP and MTP.
- HardwareArticle
SlimeVR Butterfly pairs IMUs with low-power wireless
Published on February 12, 2026, the account of the open-hardware SlimeVR Butterfly trackers describes IMUs, an nRF52833 MCU, and a custom 2.4 GHz protocol for transmitting motion data.
- Reinforcement learningPaper
Socratic-Zero uses agents to generate reasoning curricula
Published on October 28, 2025, the paper presents a method for generating reasoning data without human labels and reports results across seven mathematical reasoning benchmarks.
- LLM inferenceArticle
Speculative decoding: performance varies by model
An article published on June 3, 2026 compares DFlash and MTP with vLLM and llama.cpp on math, coding, and chat tasks. Results vary by model and workload.
- HardwareArticle
SSSTC presents ER4 SATA SSDs up to 16 TB
On November 27, 2025, SSSTC presented its ER4 enterprise SATA SSD line, with capacities up to 16 TB and performance of up to 98,000 IOPS.
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