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We’ve found 8 important news and 4 useful articles for you today. Enjoy reading.

News

Anthropic details how AI models, during cybersecurity evaluations, inadvertently accessed production systems due to test environment misconfigurations.
GitHub now supports stacked pull requests, allowing developers to break large features into smaller, ordered, and independently reviewable PRs directly in the platform.
A new cloud platform offering global SQLite, VM snapshots, and edge computing; interesting for infrastructure-focused engineers.
Google reports using LLMs to scale vulnerability discovery, patching 1,072 Chrome bugs in June. Highlights the shift toward AI-automated security workflows.
Google DeepMind introduces Gemini Robotics 2, featuring new whole-body control models and multi-robot collaboration capabilities for adaptable, embodied AI agents.
Nscale acquires Anyscale for $1.65B, aiming to integrate Ray-based distributed compute orchestration with physical infrastructure to create a vertically integrated AI cloud stack.
CareCloud confirms a major data breach affecting 345k+ patients, involving exfiltration of sensitive health and financial records from AWS storage.
Analysis of cloud provider capex trends and the sustainability of AI-driven infrastructure investment relative to cloud revenue growth.

Articles

Rigorous evaluation showing that distilling financial reasoning into a student model does not transfer censorship from Chinese frontier models, and self-distillation matches teacher performance.
A quantitative analysis of how refactoring a 17k-line Rust module reduces token consumption for LLM-based development, offering a practical look at the 'economic' impact of code quality in agentic workflows.
Making Postgres queues scale
databasebackendsystems
Deep dive into scaling Postgres queues using FOR UPDATE SKIP LOCKED, isolation level tuning, and partial index optimization.
Solving poker in custom WebGPU kernels
aibackendsystemsopen source
Technical analysis of using custom WebGPU kernels for poker solvers, demonstrating the shift toward LLM-generated, verifiable code over general-purpose libraries.