# May 26, 2026

- **Microsoft Copilot Cowork** is vulnerable to **file exfiltration** via indirect prompt injection attacks, allowing unauthorized access to sensitive data through platforms like Teams and emails.

- Norway’s National Library is leveraging **2 PB of Huawei OceanStor Dorado flash storage** to develop a **sovereign large language model (LLM)** that comprehends the Norwegian language, addressing a gap in local language AI solutions.

- **Microsoft Copilot Cowork is vulnerable to file exfiltration attacks** through indirect prompt injection, exploiting automatic action approvals for sending emails and Teams messages, which can lead to unauthorized access to sensitive data like PII and financial information.

- **Language models** can enhance performance on complex tasks by employing a **sleep-like consolidation mechanism** that converts recent context into persistent fast weights, allowing for improved efficiency during inference. [Link to article](https://arxiv.org/abs/2605.26099)

- **IBM's Anderon foundry** emerges as the first pure-play quantum chip facility in the U.S., backed by a **$2 billion CHIPS Act investment** aimed at establishing a competitive quantum technology landscape while supporting various quantum modalities.

- **Rosalind** is a **Rust-based genomics engine** that enables whole-genome analysis with a **memory footprint under 100 MB**, making it suitable for resource-constrained environments like hospitals and fieldwork.

- **aesc silicon** is pioneering a **new semiconductor business model** that leverages open source principles, where core intellectual property is free, generating revenue primarily through support and customization services.

- The **METR AI time horizons graph** is fundamentally flawed, as it relies on **guesstimated data** and biased samples, undermining its credibility and the conclusions drawn from it.

- **MOSAIC** is a **multimodal adaptive optical microscope** that integrates various imaging techniques, enabling noninvasive in vivo imaging from **molecular to organismal scales**, thus overcoming limitations of traditional microscopes that are often optimized for specific tasks.

- **CPPL** transforms LLM-assisted hardware generation into a **statically checkable frontend problem**, enhancing reliability and integration with existing compiler infrastructures like **CIRCT**.

- **EAGLE 3.1** enhances **speculative decoding** by introducing **FC normalization** and **post-norm hidden states**, significantly improving robustness and efficiency in diverse deployment scenarios.

- A **DCGAN** with **12.6M parameters** runs on a **dual-core RISC-V microcontroller**, generating **64x64 cat faces** in **26 seconds**, constrained by **SD card access speed** rather than computation.

- **Language models** can enhance performance on complex tasks by employing a **sleep-like consolidation mechanism** that converts recent context into persistent fast weights, allowing for efficient handling of long contexts.

- **WAVE** is a portable GPU ISA that compiles kernels into a single binary, translating it across multiple backends like Metal, PTX, HIP, and SYCL, streamlining GPU programming.

- **EAMS** (Equivariant Anatomical Mesh Segmentor) leverages **Equivariant Mesh Neural Networks** to achieve robust anatomical mesh segmentation, outperforming traditional methods by maintaining stability under geometric perturbations while using fewer than **2M parameters**.