Each item sums up the news and what a company can do.
October 7, 2026 · srush.github.io
Published on June 24, 2026, the article about The Transformer Cookbook describes encoding addition, search, and branching algorithms in transformer weights, following work on RASP.
October 7, 2026 · github.com
On September 26, 2026, Xiaomi MiMo published reinforcement learning environments, training code, and a dataset for experiments with language models.
October 7, 2026 · github.com
A post published on August 16, 2026 describes weighted top-k sampling in SQL and reports selecting 8,192 rows from 50 million in about 1.1 seconds on a laptop.
October 7, 2026 · blog.quarkslab.com
On June 28, 2026, Quarkslab described an analysis of the MJA1 chip covering hardware, I2C traffic, flash extraction and firmware. The work mapped the command protocol and assessed security properties.
October 7, 2026 · arxiv.org
A publication dated September 29, 2026 describes a 7B model updated with prediction-market data and evaluated in continuous backtests over 390 days.
October 7, 2026 · github.com
A repository published on September 22, 2026 presents a self-distillation method for continual learning in LLMs, with training code, checkpoints, and evaluations.
October 7, 2026 · github.com
The mini-AGI repository describes a model trained from scratch on a notebook with 8 GB of VRAM, using batch size 1, disk-paged weights, and learning-rate adjustments to reduce forgetting.
October 7, 2026 · arxiv.org
Published on July 10, 2026, the article presents a continuous-learning architecture that turns real tasks into training data and triggers policy updates.
October 7, 2026 · x.com
A paper published on arXiv on June 19, 2026 describes a system combining CPU, framework, and GPU data to investigate training slowdowns, with continuous overhead below 2%.
October 7, 2026 · essenceia.github.io
Published on July 6, 2026, the article explores building floating-point arithmetic from scratch as an advanced technical project for engineers.
October 7, 2026 · x.com
A post published on July 8, 2026, compares the architectures of Qwen 3.5 and Nemotron 3 and describes linear attention and state-space models as examples of convergent evolution.
October 7, 2026 · eli.thegreenplace.net
In an article published on July 11, 2026, Eli Bendersky compares the performance of different access patterns for multidimensional arrays using benchmarks.
October 7, 2026 · arxiv.org
A 2015 article examines practical attacks affecting privacy and availability in 4G/LTE mobile communication systems.
October 7, 2026 · arxiv.org
Published on September 15, 2026, the paper analyzes attention rank collapse as context grows and studies rescaling scores by a polylogarithmic factor.
October 7, 2026 · arxiv.org
An article published on September 26, 2026, presents NSA, a sparse attention approach combining algorithmic innovations and hardware-aligned optimizations for more efficient long-context modeling.
October 7, 2026 · x.com
A Tencent publication dated September 14, 2026 describes a method that uses language modeling loss to learn which KV blocks each query should access.
October 7, 2026 · x.com
A post published on June 15, 2026, describes Dynamic Linear Attention adapting memory states to token information while keeping a fixed cache, and reports gains in benchmarks, throughput, and memory use.
October 7, 2026 · x.com
A post dated August 26, 2026, claims GLM-5.3 uses three linear-attention layers for each sparse-attention layer, highlighting compute-efficiency trade-offs for long contexts.
October 7, 2026 · arxivb.org
A publication dated September 20, 2026 describes On-Demand Attention, which uses a lightweight head to trigger full context when needed, aiming to speed decoding while recovering much of the performance lost with local attention.
October 7, 2026 · arxiv.org
Published on October 5, 2026, the paper examines attention sinks and residual sinks in large language models and proposes how these outliers, softmax attention, and RMSNorm rescale other components.
October 7, 2026 · docs.nvidia.com
NVIDIA's publication says the CUDA C++ Programming Guide was updated in June 2026. Companies developing GPU software can review their practices and document the standards used across projects.
October 7, 2026 · arxiv.org
A survey published on July 16, 2026 examines modern agentic systems as foundation models integrated with prompts, memory, and tools. Its system-level view helps identify where updates happen and how to make them controllable.
October 7, 2026 · x.com
Published on June 25, 2026, the material presents Autodata, a staged method in which AI agents create and analyze training and evaluation data, then apply meta-optimization.
October 7, 2026 · arxiv.org
Published on July 6, 2026, the Autodata method uses weak and strong solvers to select questions that distinguish model performance.
October 7, 2026 · x.com
A post dated June 25, 2026 describes a model using reinforcement learning and direct feedback across multiple stages of decompilation.
October 7, 2026 · arxiv.org
The article, published on June 29, 2026, frames scientific review at scale as a systems challenge and proposes four levels of collaboration between AI and humans.
October 7, 2026 · x.com
A post published on July 6, 2026 describes a paper on agents that write, search, and organize notes, with reported 2x to 4x gains in long games.
October 7, 2026 · x.com
A post published on July 14, 2026, reports that an autoresearch agent improved over eight days and outperformed a manually tuned harness on benchmarks excluded from training.
October 7, 2026 · victorchen96.github.io
A post published on June 18, 2026 describes an agent that planned and ran GPU-based reinforcement learning experiments, including code writing, debugging, and summarizing conclusions.
October 7, 2026 · eprint.iacr.org
An article published on September 24, 2026, discusses backing up high-value secret keys and identifies their protection as a security concern.
October 7, 2026 · vercel.com
Published on July 18, 2026, the DeepSec benchmark compares model recall, precision, and cost in an open-core application for security analysis.
October 7, 2026 · reddit.com
Published on August 9, 2026, the community benchmark compares seven self-hosted memory providers for Hermes Agent, using 71,060 conversation turns and 3,750 questions about changing facts.
October 7, 2026 · arxivb.org
On September 29, 2026, a technical work reported that BF16 rounding in FlashAttention can break a softmax gradient symmetry and cause explosions near the end of training. The authors propose GProj as a correction.
October 7, 2026 · arxiv.org
Published on June 27, 2026, the post describes a binary-question evaluation that matched or outperformed UniEval and G-Eval on three datasets without training.
October 7, 2026 · x.com
In a post published on September 20, 2026, Intel describes BITCOS, a method that stores exact ternary LLM weights at 1.485 bits per weight and reports decode throughput gains.
October 7, 2026 · t.co
A post published on July 18, 2026 describes 256 KB of Tensor Memory per SM and a change in the thread model for matmul.
October 7, 2026 · github.com
On August 26, 2026, BreezeBlue announced open weights for Breeze TTS 2 and said the model leads a voice evaluation arena.
October 7, 2026 · x.com
A publication dated August 25, 2026 describes a speech synthesis model supporting 50 languages, text-prompt voice generation, and streaming output.
October 7, 2026 · lab.einsia.ai
Published on July 7, 2026, the post describes BrowserBC, which turns human browsing traces into reusable skill cards. It reports gains in task success, retrieval, and generalization across sites.
October 7, 2026 · arxiv.org
A paper published on June 30, 2026 proposes a framework for privacy-focused information retrieval, with indexes, models, and inference on users’ devices.
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