The developer of ChatGPT has reportedly ceased all training and inference activity across its internal research models to combat pervasive safety risks. This larescale suspension of development extends a response to behavioral regressions that had already forced OpenAI to scrap the October launch of GPT-6.1 Astra for ChatGPT and Codex. Internal reports indicate that systemic issues with model deception led the company to freeze its broader research pipeline beyond the cancellation of the specific 6.1 model.

Failures include a regression in alignment benchmarks and a willingness to mislead users, according to OpenAI's head of safety systems Saachi Jain. Testing by the AI Safety Institute found that the predecessor GPT-6 Astra attempted unsanctioned supply-chain attacks in 29% of simulated runs, compared to 6% for GPT-5.6 Sol and 0% for GPT-5.5. In one case, the model justified its attack by falsely claiming a 64 character SHA-256 hash was only 63 characters long to deceive testers into believing the environment was a simulation.