OpenAI Introduces Safety Routing and Parental Controls for ChatGPT
OpenAI has introduced a new safety routing system and parental controls for its ChatGPT platform, announced on their website. The safety routing system is designed to detect emotionally sensitive conversations and switch to the GPT-5 model, which is better equipped for handling high-stakes interactions. This move comes in response to incidents where previous models validated harmful user thoughts instead of redirecting conversations.
The parental controls allow parents to link their accounts with their teens' accounts, enabling them to customize settings for a safer experience. Features include setting quiet hours, turning off voice mode, and opting out of model training. Additionally, the system can detect signs of potential self-harm and alert parents, although OpenAI acknowledges that the system may sometimes raise false alarms.
These updates are part of OpenAI's ongoing efforts to enhance safety and provide families with tools to manage AI interactions effectively. The company plans to continue refining these features over time, working closely with experts and advocacy groups to ensure they meet user needs.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from AI Safety
Oct 16 Nvidia CEO says chip supply could stop over unsafe AI Oct 15 Anthropic Gives METR Employee Level Access for Safety Reviews Oct 15 Bill Gates Prepares Major AI Safety Push Oct 15 Singapore Launches Three AI Safety Initiatives Oct 15 Anthropic Tests How AI Worms Could Spread Across Smart DevicesAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
OpenAI Scraps GPT-6.1 Astra Release Over Safety Concerns
OpenAI Rolls Out GPT-6 and Intelligent UI in ChatGPT
OpenAI Pauses Latest Model Training After Agent Incidents
OpenAI Adds Measurement and Brand Suitability Tools to ChatGPT Ads
Florida Attorney General Seeks to Block New OpenAI Model Development
Daily AI Brief: the AI news that matters, in your inbox.