# Aug 9, 2024

- **If you give Copilot the reins, don't be surprised when it spills your secrets**

- **Zenity CTO Michael Bargury revealed at Black Hat** that creating a secure Copilot Studio bot is challenging due to insecure default settings, highlighting a significant security concern for Microsoft Copilot users.

- **FlexAttention** combines **PyTorch's flexibility** with the **high performance** of FlashAttention, offering a **new tool** for deep learning practitioners.

- **Thunder Compute** offers **scalable, flexible, and simple GPU cloud solutions**, allowing users to scale usage instantly and switch GPUs with a single command, without the need for configuration changes.

- **GPUDrive** accelerates multi-agent learning by generating **over a million steps of experience per second**, leveraging the **Madrona Game Engine** for high-scale simulation.

- **Robotic vehicles, or robocars, can significantly enhance traffic flow, safety, and energy efficiency** in mixed traffic conditions, blending seamlessly with human-driven vehicles. [Study](https://doi.org/10.48550/arXiv.2301.05294)

- **Nous**, an open-source TypeScript platform, is designed for creating autonomous AI agents and LLM-based workflows, inspired by classical philosophy to represent intellect and the human mind's capacity to understand truth and reality.

- **VFusion3D** represents a pioneering effort in **scalable 3D generative modeling**, leveraging a blend of minimal 3D data and extensive synthetic multi-view data for training.

- **MLP massively outperforms KAN** in training compute efficiency, demonstrating faster training times and lower loss values across multiple datasets, except for a notable fast KAN convergence on the small Wine dataset. [Read the paper](https://arxiv.org/pdf/2407.17790)

- **Eric demonstrated** the practical application of **ReFT** by fine-tuning **Llama3** in just **14 minutes**, showcasing a novel approach to model optimization.

- **Roe AI** introduces a **query engine** that enables SQL queries on **unstructured multimodal data** like videos, images, and documents, leveraging **LLM-powered data processors** for efficient data analysis.

- **NeurIPS 2024** introduces a **Dataset & Benchmarking Track**, focusing on the development and evaluation of machine learning datasets and benchmarks.

- **Fully forward mode (FFM) learning** has been developed to **train optical neural networks directly on the physical system**, significantly enhancing **speed and energy efficiency** by conducting machine learning operations in parallel and on-site. [Nature Article](https://www.nature.com/articles/s41586-024-07687-4)

- **OpenAI introduces structured outputs in their API**, enhancing the way developers interact with AI models by allowing for more complex and formatted responses.

- **Figure's next-gen Figure 02 humanoid robot** utilizes **NVIDIA Omniverse and GPUs** for enhanced autonomy, achieving **3x AI computing power** for real-world tasks.

- **Microsoft Research and Paige** have developed **Virchow2 and Virchow2G**, foundation models for computational pathology, demonstrating **unprecedented accuracy in detecting various cancers** by analyzing over **3.1 million whole slide images** from **225,000 patients** across **45 countries**.