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OpenAI’s Private Safety Processing is designed to detect abuse across multiple interactions without requiring customers to hand over their data. The approach preserves Zero Data Retention and contrasts with Anthropic’s stated 30-day retention requirement.
OpenAI reaffirmed Zero Data Retention for eligible API customers using frontier models. It also previewed Private Safety Processing, designed to support advanced AI safety work without compromising customer data privacy.
Arcliq is opening a private beta for a tool that automates preprocessing, training, model comparison, and selection for tabular datasets. It targets users who want to produce a working classical ML model without deep machine-learning expertise.
The US Department of Justice has intervened in support of xAI's challenge to a Minnesota law banning AI nudification tools. A federal judge heard arguments and said a ruling on xAI's request for a preliminary injunction would come soon.
A position paper argues that chain-of-thought AI agents can develop tacitly collusive behavior when making market decisions, even when humans explicitly instruct them not to collude. Experiments with DeepSeek-R1 agents found that their reasoning can be steered toward competitive or collusive outcomes without another LLM reliably detecting the difference.
OpenAI says it has temporarily slowed scaling, paused reinforcement learning for two weeks, and placed its largest planned frontier RL run on hold while it strengthens safety evaluations. It will also offer zero data retention to eligible API customers starting in September.
AWS presents three serverless patterns for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions. Task-token callbacks, direct service integrations, and durable functions help eliminate idle compute costs while agents process requests.
OpenAI said it will enhance safety processes for paying users who access its most advanced AI models. The move responds to customers using AI for increasingly complex tasks and handling more sensitive information.
OpenAI has slowed parts of its AI development to strengthen security and safeguards. The company paused reinforcement-learning training for two weeks on its latest deployment-focused models and delayed its largest planned frontier RL run.
OpenAI has introduced a monitoring system for its riskiest AI work and says it adds about 20% to the compute cost of covered workloads. The company also paused some frontier training for two weeks as part of the changes.