
A company named Verb has introduced a platform that enables individuals to sell their personal data to AI companies. Users can select which data they are willing to share, block certain companies, and set their own price for the data. This approach addresses the increasing demand for data by AI companies for training and advertising purposes, while also considering privacy concerns. The model could signal a shift towards more direct compensation for personal data in the AI industry.
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© Matt WolfeMatt Wolfe has launched 'Control Center', a free productivity app designed to centralize business operations. The app is available for download and customization on GitHub.
© Matt WolfeLM Studio allows users to run AI models like Qwen 3.8 27B on consumer-grade computers.
© The Verge AIA federal judge has determined that the Pentagon's blacklisting of AI company Anthropic was unconstitutional, marking a pivotal legal win for the firm. The court found that the Trump administration's actions were an unlawful response to Anthropic's refusal to permit its AI technology for mass surveillance or lethal autonomous weapons. This decision highlights the ongoing conflict between AI companies and government agencies over the ethical use of technology. With this ruling, Anthropic can proceed with its operations without the limitations of being labeled a supply chain risk, potentially reshaping its interactions with the Department of Defense.
A federal judge has ruled against the Pentagon's attempt to blacklist AI company Anthropic, calling the move unconstitutional and without basis. This decision overturns the Pentagon's designation of Anthropic as a 'supply-chain risk,' which had previously barred the company from securing federal contracts. The case arose from a dispute over the use of Anthropic's AI models in military operations, particularly following a controversial mission involving Venezuelan president Nicolás Maduro. The ruling allows Anthropic to continue its collaborations with the government, highlighting the complex relationship between AI companies and national security interests. While the Pentagon may appeal, this decision marks a pivotal moment in the conversation about AI deployment in sensitive contexts.
© GitHub ChangelogGitHub is updating its Actions retention policy to include checks, workflow runs, and statuses, aligning them with the existing retention settings for artifacts and logs. Starting October 1, 2026, these elements will be automatically cleaned up after the configured retention period, which defaults to 90 days. This change aims to reduce stale data and improve the efficiency of GitHub Actions. Users are encouraged to review and adjust their retention settings to manage storage costs effectively, as this update could impact billable storage usage.