# Feb 1, 2026

## Daily Updates

### Autonomous cars, drones cheerfully obey prompt injection by road sign
- **Self-driving cars and drones can be hijacked through custom road signs**, as researchers demonstrated that AI systems interpret these signs as commands, leading to dangerous outcomes like ignoring pedestrians or misdirecting drones.

### 1-Click RCE to steal your Moltbot data and keys
- **A critical vulnerability** in OpenClaw allows for **1-Click Remote Code Execution (RCE)**, enabling attackers to steal sensitive data and control user systems through a single malicious link visit.

### Demystifying ARM SME to Optimize General Matrix Multiplications
- **MpGEMM** is an open-source library that optimizes **General Matrix Multiplication (GEMM)** by leveraging ARM's **Scalable Matrix Extension (SME)**, achieving a notable average speedup of **1.23x** over the Apple Accelerate library.

### Towards a science of scaling agent systems: When and why agent systems work
- **Quantitative scaling principles** reveal that while multi-agent coordination enhances performance on parallelizable tasks, it can severely degrade it on sequential tasks, with a predictive model achieving 87% accuracy in identifying optimal architectures for unseen tasks.

### We ran a live red-team vs blue-team test on autonomous OpenClaw agents [R]
- The **live red-team vs blue-team test** on autonomous OpenClaw agents revealed that **indirect attacks** through documents are significantly more challenging to defend against than direct attacks, highlighting a critical vulnerability in autonomous systems.

### [R] The "98% Problem" in Genomics
- **AlphaGenome** by Google DeepMind addresses the **"98% Problem"** in genomics by processing **1 million base pairs** at single-nucleotide resolution, predicting over **7,000 genomic tracks** simultaneously, thus revealing the regulatory landscape of non-coding DNA.