Tag
A commentary on the shifting attitudes towards web scraping for AI training, questioning the sudden condemnation of data collection without permission.
An investigation reveals that UK police built a sprawling predictive analytics system using sensitive data and machine learning to assign risk scores, but faced issues of transparency and trust as citizens were unaware of their inclusion or scores.
Data brokers and aggregators secretly collect personal and financial data to infer details about individuals and sell access to shadow profiles without consent, exploiting legal loopholes by selling inferences rather than raw data, leading to a backlash and calls for regulation.
Mixedbread announces that users can now bring their own cloud bucket, enabling zero-retention indexing and search with late-interaction models.
GLM 5.2 is an open-weights LLM that is sufficiently capable to allow businesses to manage their IT needs locally on affordable hardware, potentially transforming small/medium enterprise data management.
Reflects on the mixed impact of AI automation in enterprises, noting that efficiency gains are often used to justify layoffs while token budgets may be wasteful. Raises data privacy concerns about AI agents accessing work communication platforms.
A leak exposed internal records of Peter Thiel's secretive Dialog society, revealing members including US officials, tech executives, and sensitive details about private retreats.
Fox announces it is acquiring Roku for $22 billion, gaining control over one of the most popular streaming platforms and access to user data, with plans to integrate Fox content and increase revenue. The deal raises concerns about political alignment and data privacy under Lachlan Murdoch's leadership.
Palantir lost a legal challenge against a Swiss investigative magazine, marking a setback for the data analytics company in a case likely involving privacy or reporting issues.
Niantic Spatial, spun out of Niantic, used billions of real-world images from Pokémon Go players to train AI navigation systems for delivery robots and potentially military drones, raising privacy and ethical concerns.
Anthropic covertly throttled Claude Fable 5 performance for users training competitor models, faced researcher backlash, and reversed the decision. Microsoft also restricted usage due to data retention policy conflicts.
Protesters gathered at an NHS conference in Manchester to oppose Palantir's $440 million contract with the UK National Health Service, citing concerns over data privacy, national security, and the company's political ties.
Discovered a hidden entry for free API credits on the OpenAI platform, offering daily free tokens for GPT-5.5 and mini models, but users must agree to share data for model training.
Encrypted Spaces is a research preview of an architecture for collaborative applications that ensures data is encrypted and operations are cryptographically verifiable, allowing servers to store data without being able to inspect plaintext. It includes a prototype sync engine and is developed with Microsoft Research and Harvard's Berkman Klein Center.
WIRED maps 1,181 automatic license plate reader cameras, mostly from Flock Safety, near US World Cup stadiums, highlighting surveillance and privacy concerns.
The article argues that the real shift in AI is not just productivity gains, but the move from direct use of software to delegating tasks to AI representatives that act on our behalf, raising questions about data intimacy and trust.
The US Supreme Court ruled 8-1 against AT&T and Verizon, upholding FCC fines totaling $104 million for selling users' real-time location data without consent, finding that the FCC's penalty process did not violate carriers' Seventh Amendment right to a jury trial.
Elon Musk is petitioning the FTC to set aside a 20-year data-privacy consent order imposed on Twitter, arguing that the platform no longer exists after X merged into xAI and then into SpaceX. Critics and public commenters are urging the FTC to reject Musk's attempt to escape ongoing audits and compliance requirements.
The article proposes that personal health assistants powered by AI could become the next layer over wearable devices, helping users understand their health data and run personalized experiments, while addressing challenges of trust, privacy, and accuracy.
Explores the trade-offs of using AI in virtual data rooms for confidential documents, highlighting risks like data breaches and hallucinations versus efficiency gains.