Here's your daily roundup of the most relevant AI and ML news for July 30, 2026. Today's digest includes 1 security-focused story. We're also covering 5 research developments. Click through to read the full articles from our curated sources.
Security & Safety
1. Claude AI Just Cracked a Post-Quantum Test Scheme and Found a Faster 7-Round AES Attack
Anthropic says Claude Mythos Preview helped derive an end-to-end key-recovery attack against HAWK-256 and a 200- to 800-fold speedup for an attack on seven-round AES-128.
The HAWK attack exploits a previously unused symmetry in the lattice behind the signature scheme. Anthropic's released implem...
Source: The Hacker News (Security) | 1 day ago
Research & Papers
2. Towards an Automated Test of LLM Security Knowledge
arXiv:2607.18496v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used for a range of software, hardware and human-centered security tasks. Consequently, LLM performance on security tasks is an active area of measurement and research, often with a focus on i...
Source: arXiv - AI | 10 hours ago
3. Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated Control
arXiv:2607.01153v3 Announce Type: replace-cross Abstract: Safety evaluations for language models increasingly depend on judgments about ambiguous natural-language behaviour: whether a model followed an instruction, refused appropriately, complied with a policy, or misreported progress in an agen...
Source: arXiv - AI | 10 hours ago
4. GPT-Red: Automated Red Teaming via Self-Play at Scale
arXiv:2607.26115v1 Announce Type: cross Abstract: We introduce \textbf{GPT-Red}, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production systems. To this en...
Source: arXiv - Machine Learning | 10 hours ago
5. Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts
arXiv:2607.26404v1 Announce Type: new Abstract: Graph Neural Networks (GNN) facilitate effective prediction on graph data such as molecules, media networks and neural network blueprints. GNNs facilitate prediction through message passing techniques which define how information flows from a node ...
Source: arXiv - Machine Learning | 10 hours ago
6. Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities
arXiv:2607.26062v1 Announce Type: cross Abstract: Background: This work investigates the presence of implicit bias in Large Language Model (LLM)-based chat AI models directed toward people with intellectual disabilities (ID). Objective: The study aims to identify and measure representational d...
Source: arXiv - AI | 10 hours ago
Tech & Development
7. Adversarial Code Obfuscation for Defending Against LLM-Based Analysis
Article URL: https://arxiv.org/abs/2606.11755 Comments URL: https://news.ycombinator.com/item?id=49109869 Points: 2
Comments: 0
Source: Hacker News - AI | just now
8. It’s Frighteningly Easy to Jailbreak Some Frontier AI Models
I watched a new tool try to get around the model safeguards of four major frontier companies. You might be surprised by how they performed.
Source: Wired - AI | 19 hours ago
About This Digest
This digest is automatically curated from leading AI and tech news sources, filtered for relevance to AI security and the ML ecosystem. Stories are scored and ranked based on their relevance to model security, supply chain safety, and the broader AI landscape.
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