According to Sam Altman (@sama), a security researcher leveraged a previous AI model to identify and disclose a critical vulnerability in React that could potentially lead to source code exposure. This incident highlights how advanced AI models are increasingly becoming essential tools in cybersecurity, enabling faster and more effective detection of software vulnerabilities. As AI models continue to improve, their impact on real-world security challenges is becoming more pronounced, providing businesses with opportunities to proactively protect their software infrastructure and reduce breach risks (source: Sam Altman, Twitter, Dec 18, 2025).

According to Anthropic (@AnthropicAI), current AI models are not effective at either sabotage or monitoring tasks. However, Anthropic's evaluation tools are developed with future, more intelligent AI systems in mind. These evaluation benchmarks are designed to help AI developers rigorously assess the potential capabilities and risks of upcoming AI models, particularly in terms of security, robustness, and oversight. This approach supports the AI industry's need for advanced safety tools, enabling businesses to identify vulnerabilities and ensure responsible AI deployment as models become increasingly sophisticated (Source: Anthropic, Twitter, June 16, 2025).