# Jun 28, 2026

Daily

- **DSpark: Speculative decoding accelerates LLM inference**  
  
  The **DSpark paper** from the **DeepSpec** project presents innovative methodologies for enhancing deep learning model performance, particularly in the context of data efficiency and scalability.

- **AI learns the “dark art” of RFIC design**  
  
  **AI is revolutionizing RFIC design** by employing reinforcement learning and inverse design techniques, enabling the rapid creation of radio chips that outperform traditional designs in both performance and efficiency.

- **Asian AI startups launch Mythos-like models**  
  
  **Asian AI startups** like 360 and Sakana AI have launched models, Tulongfeng and Fugu, respectively, to compete with **Anthropic’s Mythos**, amid ongoing U.S. export bans that limit access to advanced AI technologies.

- **AMD Strix Halo RDMA Cluster Setup Guide**  
  
  The **AMD Strix Halo** cluster setup guide outlines the configuration of a two-node system using **Intel E810 (RoCE v2)** for efficient distributed vLLM inference, emphasizing the importance of **Tensor Parallelism** for handling large models.

- **Semgrep: GLM 5.2 beats Claude in our Cyber Benchmarks**  
  
  **GLM 5.2**, an open-weight model from Zhipu AI, achieved a **39% F1 score** in IDOR detection, outperforming Claude Code (32%) at a cost of **$0.17 per vulnerability found**, showcasing its competitive edge in security tasks.

- **A way to exclude sensitive files issue still open for OpenAI Codex**  
  
  **A proposed feature** seeks to implement a mechanism for marking files and paths that should not be accessed or sent to the model, enhancing security and usability across repositories with a deterministic configuration.

- **Wayfinder Router: deterministic routing of queries between local and hosted LLM**  
  
  **Wayfinder** enables **deterministic prompt-complexity routing**, allowing users to send prompts to either local or cloud models without incurring additional model calls, thus optimizing costs and efficiency.

- **Programmable Probabilistic Computer with 1M p-bits**  
  
  This research introduces a **programmable probabilistic computer** with **1,000,000 p-bits**, enabling unprecedented **Gibbs sampling** speeds exceeding **one trillion flips per second** while maintaining local memory for coupling weights. [arXiv](https://arxiv.org/abs/2606.25313)

- **MathFormer: Testing whether symbolic math is pattern matching or reasoning**  
  
  A **4M parameter seq2seq model** achieves ~ **98.6% accuracy** on symbolic math tasks, indicating it relies on **structural token transformations** rather than understanding operators or variables.

- **TOP500 at ISC'26: We Have a New Number 1 – By George Cozma**  
  
  **LineShine Supercomputer** in Shenzhen, China, has claimed the **top spot** on the TOP500 list, marking the first Chinese entry in nine years with a **CPU-only system** that boasts **2.198 Exaflops** of sustained FP64 performance.

- **Reflecting to optimise**  
  
  **Optimisation in protein binder design** reveals that traditional methods may overlook more effective approaches, as demonstrated through the exploration of projected gradient descent (PGD) and mirror descent techniques.

- **Built an LLM training framework that actually runs on older GPUs without crashing**  
  
  **Picotron** is a newly developed LLM training framework that eliminates **GPU-specific dependencies**, enabling it to run on older GPUs like T4 and V100 without crashing during import.

- **Evaluating long-term memory limits in stateless LLM chatbots — feedback needed**  
  
  The research aims to assess **long-term memory limits** in stateless LLM chatbots by testing their ability to recall key facts after numerous unrelated messages, providing insights into their conversational retention capabilities.

- **Benchmarking Self-Hosted Gemma 2 9B vs. Frontier APIs: The FP8 Quantization Prefill Tax and VRAM Realities on an NVIDIA L4**  
  
  **FP8 quantization incurs a significant 58% latency penalty on Time to First Token (TTFT) for complex prompts, revealing a trade-off between speed and memory efficiency on an NVIDIA L4 GPU.**

- **NagaTranslate: Building a translation and voice pipeline for low-resource Nagaland creoles (Whisper, VITS, LLMs)**