Astra's rumored latent CoT is hard to monitor; researcher proposes auxiliary decoder
beffjezos · x · 2026-09-02
A user flagged that Google's Astra appears to use neuralese / looped transformers, meaning it no longer has a fully monitorable chain of thought like earlier models — bad news for CoT oversight. Interpretability researcher beffjezos offered mitigation ideas:
- Train an auxiliary decoder model to translate latent representations (latent CoT) into readable form;
- Run it as a side path on GPUs via prefill batching, keeping overhead manageable;
- Monitoring can be periodic rather than constant, which is fine in practice.
More from Models
- Fable 5.1 review: Tends to act as a 'manager' and plan globally — AlchainHust · 2026-09-02
- Elon Musk announces Grok 4.7 release in 10 days — XFreeze · 2026-09-02
- Report: OpenAI's Astra may use technique that destroys CoT monitorability — sjgadler · 2026-09-02
- Hands-on with Fable 5.1: taking over a 5+ day math problem across Codex and CC threads — DimitrisPapail · 2026-09-02
- Don't overreact negatively to Astra's recurrent depth — xuanalogue · 2026-09-02
- Deep dive into Astra's "recurrent depth" architecture trade-offs — daniel_mac8 · 2026-09-02