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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.
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Slack is launching Slack Code, a dedicated channel experience for teams to collaborate with AI coding agents. Users can tag agents such as Anthropic’s Claude or Cognition’s Devin, compare code changes, and preview HTML output within project-specific channels.
Google reportedly bid $10 million for Spirit Airlines’ internal enterprise data, including approximately 100 million emails and 500 million Microsoft Teams messages, in a bankruptcy asset auction. The deal signals the emergence of a market for acquiring sanitized corporate communications and work records to train AI systems and enterprise agents.
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.
Slack Code now lets developers bring AI coding agents into a shared Slack group chat, allowing teammates to participate in the interaction. The update shifts coding-agent use from a private developer workflow toward collaborative team review and discussion.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
OpenAI is seeking to compete more directly with Anthropic by introducing stronger privacy protections for enterprise customers. The two companies are increasingly competing over how securely customer data is handled.
A study of roughly 1.8 million fitted SIRENs finds that applying exact function-preserving symmetries reproduces 79.1 of the 80.4 accuracy points separating shared- from random-initialization models. The results show symmetry is sufficient to explain the degradation, while cautioning that this does not prove naturally occurring symmetry causes the entire gap.
Flock Safety has developed an AI system that allows police to search for people and vehicles based on movement patterns. The capability appears to contradict the company’s longstanding claim that its cameras cannot identify or track individuals.