
OpenAI’s new Astra model will use “recurrent depth,” a technique that allows the model to operate outside of the sequential thinking that characterizes most reasoning models.
Will AI safety organizations publish a public response to OpenAI's Astra model by September 17, 2026?
Resolves by Sep 17, 2026
OpenAI's new Astra model uses a reasoning technique called "opaque recurrence" that processes queries in loops rather than sequential steps, making the model's reasoning process harder to monitor and understand. Typically, AI reasoning models produce a "chain of thought" that shows the sequential steps taken to solve problems, which serves as a tool for detecting misbehavior or misalignment. With opaque recurrence, the model leaves fewer legible traces, potentially bypassing conventional chain-of-thought records that safety experts rely on. AI safety researchers have expressed concern that while Astra's current use of the technique is limited, wider adoption across models could make AI reasoning significantly harder to monitor, though OpenAI has stated its commitment to maintaining legible chains of thought.

This week on Uncanny Valley, we dig into the latest prediction market buzz, Flock’s AI-powered police search tool, and how tech bros don’t know how to talk about “rouge” AI agents

Abliteration.AI is making powerful AI models without guardrails easier to access, arguing that giving defenders the same tools as bad actors could ultimately improve cybersecurity.

GPT-6 Astra is our most capable broadly deployed model and our first to reach the Critical level of cybersecurity capability under our Preparedness Framework.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven