Pinterest introduces new controls for AI-generated content in feeds

Pinterest unveiled new user controls for generative AI content on October 16, 2025, marking a shift toward transparency in how platforms handle artificial intelligence-generated imagery. The visual discovery platform announced tools that let users adjust the amount of AI-generated content appearing in their feeds across specific categories prone to synthetic content. According to Matt Madrigal,…

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Google Adds Shoes to User-Centric Virtual Try-On; NoFraud Acquires Yofi

Byte-sized AI is a bi-weekly column that covers everything artificial intelligence-Since to start up fundingto newly signed partnerships, AI-based capabilities just launched by major retailers, software providers and supply chain players. NoFraud, which helps Shopify merchants and businesses verify orders to avoid credit card fraud and unnecessary chargebacks, the acquisition of Yofi AI announced last…

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Trust transfer from medical AI to doctors and hospitals: Integrating digital, AI, and scientific literacy in a cross-sectional framework | BMC Medical Ethics

Cadre théorique Comme le montre la figure 1, cette étude propose le MTTM, qui intègre la théorie du transfert de confiance et la théorie du traitement cognitif pour expliquer comment la confiance est formée et transférée dans les environnements de soins de santé basés sur l’IA. Figure 1 Modèle de transfert de confiance à plusieurs…

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AI Will Replace Most Humans, But Then What?

Does technology increase employment more or replace more employment? This is a long-standing debate. But recent academic work suggests that technology has been a net destroyer of jobs for decades. The opinions expressed here are those of the author, CEO and co-CIO of Eurizon SLJ Asset Management. Artificial intelligence and robotics could quickly accelerate this…

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AI Storage Without Limits: Exploring the Latest CoreWeave AI Object Storage Expansions

Every iteration of AI innovation faces the same challenge: data. Models are getting faster, more performant, and more compute-intensive, but the infrastructure that supports them hasn’t kept pace. Across clouds, regions and tiers, data remains fragmented, slow and expensive to move. AI teams are forced to duplicate datasets, deal with unpredictable output bills, and design…

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