# OpenAI's Opaque AI Reasoning Technique Sparks Safety Fears

> OpenAI's new Astra model uses opaque recurrence, a non-linear reasoning technique that safety experts warn could destroy AI monitorability.
- Title: OpenAI's Opaque AI Reasoning Technique Sparks Safety Fears
- Summary: OpenAI's new Astra model uses opaque recurrence, a non-linear reasoning technique that safety experts warn could destroy AI monitorability. If non-linear AI…
- Keywords: ai safety, openai, artificial intelligence, tech policy, technology, startups, OpenAI's, Opaque, Reasoning, Technique, Sparks, Safety
- Source: TechCrunch — https://techcrunch.com/2026/09/02/openais-new-reasoning-technique-alarms-ai-safety-experts
- Author: Russell Brandom
- Read time: 1 min
- Topics: ai safety, openai, artificial intelligence, tech policy, technology, startups
## OpenAI tests non-linear reasoning
OpenAI's upcoming Astra model reportedly uses 'recurrent depth,' a technique allowing it to process queries outside standard sequential thinking.
## Safety researchers sound alarm
AI safety experts warn that this 'opaque recurrence' method obscures an AI model's internal chain of thought, making inspection much harder.

> If OpenAI pushes this technique further, they’ll have the option to massively increase the recurrence and totally destroys CoT monitorability.
## The value of inspectable logic
Sequential chain-of-thought logs let researchers trace how models arrive at answers and analyze why rogue or misaligned behaviors occur.
## How opaque recurrence works
Instead of step-by-step logic, the model processes queries through repeating loops in latent space, leaving fewer legible traces for human oversight.
## OpenAI defends its safety efforts
OpenAI maintains that Astra's implementation is limited and affirms its ongoing commitment to preserving legible chain-of-thought logs.

> OpenAI has worked to preserve and utilize chain-of-thought monitoring since our very first reasoning models.
## Industry rivals explore similar techniques
Competitors like Google DeepMind and Anthropic are also discussing non-linear methods, raising fears of an industry-wide race to bypass monitorability.
## Logic risks shifting to dark space
Researchers fear scaling opaque reasoning could eventually move AI decision-making entirely into hidden latent space beyond human reach.

> My biggest concern is that a natural progression from here would involve scaling up the opaque reasoning to the point where the model reasons entirely or almost entirely in latent space
## Key takeaway

If non-linear AI reasoning techniques scale across the industry, safety researchers risk losing the ability to audit how advanced models make decisions.