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The US Commerce Department is circulating a proposal to stop collecting census data on race and sexual orientation, and to exclude undocumented immigrants from the count for the 2030 census, which could reshape federal funding and political representation.
A discussion questioning whether major AI tools offer real privacy, noting that most rely on cloud servers, and asking if local or self-hosted models are a viable alternative.
This article describes AI-My-Chats, a tool that uses AI to capture fragmented enterprise knowledge from chats and other sources at low cost (~$5/month), with support for open-source models and new GitHub Issues integration.
Proposes a Shapley-value-based feature attribution framework for data masking that balances disclosure risk and data utility at the feature level, agnostic to specific masking methods.
California's Delete Request Opt-out Platform (DROP) becomes enforceable Aug. 1, allowing residents to request data deletion from registered data brokers in one place. Non-compliant companies face fines, and the state has already penalized some brokers for failing to register.
An analysis of 10,000 production AI support prompts found 12.4% contained personally identifiable information, arguing that LLM security should focus on data minimization and redaction rather than only prompt injection or jailbreaks.
This is a Bluesky proposal for adding permissioned (private) data support to the AT Protocol, enabling access control over user data in decentralized social networks.
A detailed comparison of Higgsfield's and Artlist's Terms of Service, highlighting that Higgsfield may use user inputs for model training by default (including for standard users), while Artlist does not train on private IP and offers a more creator-friendly workflow with predictable access and commercial licensing. The author recommends Artlist for professional creators.
Codeberg e.V. members voted to forbid using user data for LLM training and to prohibit 'vibe-coded' projects, citing harms to the free software ecosystem.
Prediction that the AI winner will be the one achieving automatic optimal open-weight models with cumulative learning from local data.
Analyseert de technische en juridische uitdagingen voor Amerikaanse bedrijven om gegevens te versleutelen zodat de Amerikaanse overheid er niet bij kan, met voorbeelden zoals Microsoft Double Key Encryption en Solvinity.
The European Commission is finalizing an agreement with the US to exchange biometric data for visa-free travel, which EDRi warns will enable widespread surveillance and risk fundamental rights.
A study finds that over one in eight apps marketed to US troops contain software from Chinese or Russian companies, raising concerns about data harvesting and national security.
A former Mayo Clinic research director alleges the hospital ignored high error rates in its AI tools (MAYA) and retaliated against her for blowing the whistle, raising serious concerns about AI deployment in healthcare.
China introduces regulations to curb emotional dependency on AI companion bots, requiring platforms to detect distress, limit excessive use, and protect user data. The rules target services offering sustained emotional interaction, excluding task-oriented AI.
Node Health provides a private, centralized platform for managing all your lab results securely.
Satya Nadella warns that companies using external AI services like OpenAI and Anthropic risk exposing proprietary knowledge, which may be used to compete against them, arguing for self-hosting AI to protect intellectual property.
Developers flagged a major privacy concern with Elon Musk's Grok AI model, leading to a trust crisis for the product.
The author shares personal views from participating in training a vertical medical model at a top domestic hospital, highlighting core challenges such as medical data not leaving the hospital, high cost of on-premises deployment, and weak willingness to pay, and suggests partnering with hardware vendors. They also note that general medical models (like Baichuan) already perform well.
Elon Musk affirms a reminder that the AI industry often retains user data by default, with opt-outs limited and hard to verify.