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

• 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

• 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

• 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.