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The article examines how AI infrastructure is developing commodity-like markets as GPU shortages make compute capacity increasingly valuable. It suggests Wall Street may begin treating AI compute similarly to oil or other tradable resources.
Incogni researchers evaluated 13 AI platforms to assess the privacy risks associated with each service. The analysis suggests that larger platforms generally present greater privacy risks, with one notable exception.
Generative video in China is shifting from impressive demonstrations to routine use in advertising, e-commerce, and internal content previews. The trend suggests that practical production workflows are gaining traction while at least one prominent overseas consumer experiment is being withdrawn.
Australia’s parliament passed the News Bargaining Incentive, requiring major platforms to face the law even if they choose not to carry news. Meta, Google, TikTok, and LinkedIn are among the affected companies.
Chinese companies are increasingly using online tests, personality assessments, and AI video interviews to filter large graduate applicant pools. Candidates report that these evaluations are time-consuming, opaque, and often disconnected from the actual work, while employers view them as necessary tools for reducing hiring risk.
A Reddit user reports that Qwen3.8-27B autonomously retrieved a university class schedule through 80 tool calls using only credentials and a university name. In another test, it downloaded and analyzed a social-media video, installed Whisper for transcription, and enhanced video frames without human intervention.
Vercel CLI now includes a `vercel vcr` command group for managing Vercel Container Registry repositories, images, and tags. Developers can authenticate Docker, Podman, or Buildah with short-lived project-scoped tokens, then build and push images using standard tooling.
Meta reportedly ran advertisements for an app that promised to digitally undress female politicians. One ad included a pornographic video featuring a deepfake closely resembling a US politician.
A synthetic hiring model achieved 94.2% validation accuracy by relying almost entirely on postcode, revealing how accuracy-only checks can miss discriminatory shortcuts. The ramen-mlflow-guard wrapper uses SHAP evidence at runtime to deny governed predictions when proxy-bias policies are violated.
Turing Award winner Richard Sutton criticized the AI industry’s growing reliance on synthetic data to address training-data shortages. Speaking on Sequoia Capital’s Training Data podcast, he called the shift “a big mistake.”